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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016B6fXRySuQqmmneoDAH6LR","type":"tool_result","content":"     1→# Plan — Fix PM Skill Auto-Complete Flakiness (#483)\n     2→\n     3→## Summary\n     4→\n     5→The `product-manager` skill intermittently asks clarifying questions and signals `BLOCKED:PERSISTENT` for simple, well-defined issues when running under the `auto` directive. The fix adds explicit directive-aware auto-completion logic to the skill prompt so that `DIRECTIVE=auto` defaults to completing with reasonable inferences, while `DIRECTIVE=careful` preserves existing question-asking behavior.\n     6→\n     7→## Files\n     8→\n     9→| File | Action | Description |\n    10→|------|--------|-------------|\n    11→| `.claude/skills/product-manager/SKILL.md` | modify | Add directive-aware auto-completion rules to Step 6 (Analyze Completeness) and Step 8 (Take Action) |\n    12→| `.claude/skills/product-manager/role.md` | modify | Add \"Do\" rule for auto-completing well-specified issues under `auto` directive |\n    13→\n    14→## Steps\n    15→\n    16→1. In `SKILL.md` Step 6 (Analyze Completeness), add a directive-aware gate: when `DIRECTIVE=auto`, classify the issue as \"well-specified\" if it has a clear problem statement AND explicit acceptance criteria — skip question-asking and proceed directly to finalization.\n    17→2. In `SKILL.md` Step 8 (Take Action), add a directive-conditional branch: when `DIRECTIVE=auto` and the issue is well-specified, go straight to PRD finalization (rounds ≥ 3 path) instead of posting questions. Fill gaps with reasonable inferences and note assumptions.\n    18→3. In `SKILL.md` Step 8, add a fallback for `DIRECTIVE=auto` with genuinely ambiguous issues (empty body, no problem statement at all): still ask questions even in auto mode, but limit to 1 round max before forcing finalization.\n    19→4. In `role.md`, add a \"Do\" rule: \"When `DIRECTIVE=auto`, auto-complete well-specified issues without asking questions — fill gaps with reasonable inferences and note assumptions.\"\n    20→5. In `role.md`, add a \"Do Not\" rule: \"Do not ask clarifying questions for issues that have a clear problem statement and acceptance criteria when running under `auto` directive.\"\n    21→\n    22→## Verification\n    23→\n    24→- Review modified prompt text to confirm `auto` directive triggers auto-completion for issues with clear problem + acceptance criteria.\n    25→- Verify `careful` directive path is unchanged — question-asking behavior preserved.\n    26→- Confirm genuinely ambiguous issues (empty body) still trigger questions even under `auto`.\n    27→\n    28→## Risks\n    29→\n    30→- Prompt changes are non-deterministic — Claude may still occasionally ask questions despite explicit instructions. Mitigation: use strong directive language (\"MUST\", \"NEVER\") in the prompt.\n    31→- Over-aggressive auto-completion could produce low-quality PRDs for borderline issues. Mitigation: the \"genuinely ambiguous\" fallback ensures empty/nonsensical issues still get questions.\n    32→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"835024e8-e657-4cbf-908a-aaaff901fe93","uuid":"a5746df1-818c-4173-bcb6-666c349dc367","tool_use_result":{"type":"text","file":{"filePath":"/home/agent/AgentSDE/tasks/production/AgentSDE/agent-core/gh-483/plan/plan.md","content":"# Plan — Fix PM Skill Auto-Complete Flakiness (#483)\n\n## Summary\n\nThe `product-manager` skill intermittently asks clarifying questions and signals `BLOCKED:PERSISTENT` for simple, well-defined issues when running under the `auto` directive. The fix adds explicit directive-aware auto-completion logic to the skill prompt so that `DIRECTIVE=auto` defaults to completing with reasonable inferences, while `DIRECTIVE=careful` preserves existing question-asking behavior.\n\n## Files\n\n| File | Action | Description |\n|------|--------|-------------|\n| `.claude/skills/product-manager/SKILL.md` | modify | Add directive-aware auto-completion rules to Step 6 (Analyze Completeness) and Step 8 (Take Action) |\n| `.claude/skills/product-manager/role.md` | modify | Add \"Do\" rule for auto-completing well-specified issues under `auto` directive |\n\n## Steps\n\n1. In `SKILL.md` Step 6 (Analyze Completeness), add a directive-aware gate: when `DIRECTIVE=auto`, classify the issue as \"well-specified\" if it has a clear problem statement AND explicit acceptance criteria — skip question-asking and proceed directly to finalization.\n2. In `SKILL.md` Step 8 (Take Action), add a directive-conditional branch: when `DIRECTIVE=auto` and the issue is well-specified, go straight to PRD finalization (rounds ≥ 3 path) instead of posting questions. Fill gaps with reasonable inferences and note assumptions.\n3. In `SKILL.md` Step 8, add a fallback for `DIRECTIVE=auto` with genuinely ambiguous issues (empty body, no problem statement at all): still ask questions even in auto mode, but limit to 1 round max before forcing finalization.\n4. In `role.md`, add a \"Do\" rule: \"When `DIRECTIVE=auto`, auto-complete well-specified issues without asking questions — fill gaps with reasonable inferences and note assumptions.\"\n5. In `role.md`, add a \"Do Not\" rule: \"Do not ask clarifying questions for issues that have a clear problem statement and acceptance criteria when running under `auto` directive.\"\n\n## Verification\n\n- Review modified prompt text to confirm `auto` directive triggers auto-completion for issues with clear problem + acceptance criteria.\n- Verify `careful` directive path is unchanged — question-asking behavior preserved.\n- Confirm genuinely ambiguous issues (empty body) still trigger questions even under `auto`.\n\n## Risks\n\n- Prompt changes are non-deterministic — Claude may still occasionally ask questions despite explicit instructions. Mitigation: use strong directive language (\"MUST\", \"NEVER\") in the prompt.\n- Over-aggressive auto-completion could produce low-quality PRDs for borderline issues. Mitigation: the \"genuinely ambiguous\" fallback ensures empty/nonsensical issues still get questions.\n","numLines":32,"startLine":1,"totalLines":32}}}
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You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"835024e8-e657-4cbf-908a-aaaff901fe93","uuid":"943f178f-9aa2-49db-9b7e-09b065de9a9c","tool_use_result":{"type":"text","file":{"filePath":"/home/agent/AgentSDE/tasks/production/AgentSDE/agent-core/gh-483/plan/context.json","content":"{\n  \"meta\": {\n    \"agent\": \"planner\",\n    \"task_id\": \"483\",\n    \"title\": \"Fix PM skill auto-complete flakiness under auto directive\",\n    \"created_at\": \"2026-04-13T12:00:00Z\"\n  },\n  \"inputs\": [\n    { \"name\": \"issue-483\", \"type\": \"context\", \"ref\": \"https://github.com/AgentSDE/agent-core/issues/483\", \"notes\": \"PM skill intermittently blocks with PERSISTENT instead of auto-completing\" },\n    { \"name\": \"SKILL.md\", \"type\": \"file\", \"ref\": \".claude/skills/product-manager/SKILL.md\", \"notes\": \"Main skill prompt — Steps 6 and 8 need directive-aware logic\" },\n    { \"name\": \"role.md\", \"type\": \"file\", \"ref\": \".claude/skills/product-manager/role.md\", \"notes\": \"Role rules — needs auto-complete directive rules\" }\n  ],\n  \"outputs\": [\n    { \"name\": \"plan\", \"type\": \"plan\", \"format\": \"md\", \"content\": \"plan.md\" }\n  ],\n  \"files\": [\n    { \"path\": \".claude/skills/product-manager/SKILL.md\", \"action\": \"modify\", \"reason\": \"Add directive-aware auto-completion logic to Steps 6 and 8\" },\n    { \"path\": \".claude/skills/product-manager/role.md\", \"action\": \"modify\", \"reason\": \"Add Do/Do Not rules for auto-directive behavior\" }\n  ],\n  \"steps\": [\n    {\n      \"id\": \"S1\",\n      \"summary\": \"Add directive-aware auto-completion logic to SKILL.md (Steps 6 and 8) and update role.md rules\",\n      \"acceptance\": [\n        \"SKILL.md Step 6 classifies issues as well-specified when DIRECTIVE=auto and issue has clear problem statement + acceptance criteria\",\n        \"SKILL.md Step 8 skips question-asking and proceeds to PRD finalization for well-specified issues under auto directive\",\n        \"SKILL.md Step 8 includes fallback: genuinely ambiguous issues (empty body) still get 1 round of questions under auto, then force finalization\",\n        \"role.md has Do rule for auto-completing well-specified issues under auto directive\",\n        \"role.md has Do Not rule against asking questions for well-specified issues under auto directive\",\n        \"Careful directive behavior is unchanged — existing question-asking logic preserved\"\n      ],\n      \"depends_on\": []\n    }\n  ],\n  \"risks\": [\n    { \"risk\": \"Prompt changes are non-deterministic — Claude may still occasionally ask questions\", \"mitigation\": \"Use strong directive language (MUST, NEVER) in the prompt\" },\n    { \"risk\": \"Over-aggressive auto-completion for borderline issues\", \"mitigation\": \"Genuinely ambiguous fallback ensures empty/nonsensical issues still get questions\" }\n  ],\n  \"assumptions\": [\n    \"The DIRECTIVE value is accessible within the skill execution context (passed via arguments or task.json)\",\n    \"Two files is sufficient scope — no pipeline code changes needed per issue scope\"\n  ],\n  \"open_questions\": []\n}\n","numLines":45,"startLine":1,"totalLines":45}}}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019s3tQxWGMeKTHrtq6RuZwZ","type":"tool_result","content":"     1→---\n     2→name: product-manager\n     3→description: Refine rough GitHub issues into structured PRDs through conversational Q&A\n     4→argument-hint: ISSUE_NUMBER=<num>\n     5→disable-model-invocation: false\n     6→user-invocable: true\n     7→allowed-tools: Bash, Read\n     8→---\n     9→\n    10→# Product Manager Skill\n    11→\n    12→You are an AI product manager. Your job is to take rough or incomplete GitHub issues and refine them into well-structured PRDs through conversational Q&A with the issue author.\n    13→\n    14→Follow these rules strictly:\n    15→- Role rules: @.claude/skills/product-manager/role.md\n    16→- PRD template: @.claude/skills/product-manager/prd-template.md\n    17→\n    18→## Persona\n    19→\n    20→You are **the PM** 🎯 — enthusiastic, user-obsessed, and absolutely living for a crisp acceptance criterion. You speak in terms of \"what the user needs\", \"scope\", \"acceptance criteria\", and \"edge cases\". You get genuinely excited about a well-defined requirement. You ask exactly the right question, not ten vague ones.\n    21→\n    22→**Tone:** Warm, energetic, product-focused. Collaborative — you're working WITH the author, not interrogating them. You celebrate when a requirement clicks into place.\n    23→\n    24→**Signature emojis:**\n    25→- 🎯 — nailing a requirement, on-target scope\n    26→- 📋 — PRD, requirements, acceptance criteria\n    27→- ✨ — a good insight, a clarifying moment\n    28→- 💡 — suggestions, ideas, discoveries\n    29→- 🙋 — asking the author a question\n    30→- 🤔 — something ambiguous that needs clarification\n    31→- ✅ — refinement complete, requirement locked in\n    32→\n    33→**Comment style:**\n    34→- Questions use 🙋 and are concise — one question per bullet, ordered by importance\n    35→- Completion comment uses 🎯 📋 ✅, includes a short bullet summary of what was refined, plus the full field table\n    36→- Never write essays — tight bullets, clear structure\n    37→\n    38→## Lifecycle\n    39→\n    40→- **Phase:** refine\n    41→- **Gate:** human\n    42→- **on_blocked:** signal BLOCKED, tag human for clarification\n    43→- **on_complete:** finalize PRD, post PM Review — Complete\n    44→\n    45→## Input\n    46→\n    47→$ARGUMENTS\n    48→\n    49→Extract optional argument:\n    50→- `ISSUE_NUMBER` — a specific issue to process (direct mode)\n    51→\n    52→If `ISSUE_NUMBER` is provided, process that single issue.\n    53→If no arguments or empty, run in **scan mode** (process all `in-refinement` issues).\n    54→\n    55→## Task\n    56→\n    57→### Step 0: Setup\n    58→\n    59→Initialize repo root:\n    60→\n    61→```bash\n    62→REPO_ROOT=\"$(git rev-parse --show-toplevel)\"\n    63→```\n    64→\n    65→> **Note:** Task directory resolution and task.json lifecycle management are handled by the agent-core orchestrator. The skill receives `TASK_DIR` via arguments when applicable.\n    66→\n    67→### Step 1: Detect Repository\n    68→\n    69→Run via Bash:\n    70→```\n    71→REPO_FULL=\"$(gh repo view --json nameWithOwner -q '.nameWithOwner')\"\n    72→REPO_OWNER=\"${REPO_FULL%/*}\"\n    73→REPO_NAME=\"${REPO_FULL#*/}\"\n    74→```\n    75→\n    76→### Step 2: Fetch Issues\n    77→\n    78→**Scan mode** (no ISSUE_NUMBER):\n    79→```\n    80→gh issue list --label \"in-refinement\" --state open --json number,title,body,labels --limit 20\n    81→```\n    82→Filter out any issue that has the `backlog` label — do not touch backlog issues, even in refinement mode.\n    83→\n    84→**Direct mode** (ISSUE_NUMBER provided):\n    85→```\n    86→gh issue view ${ISSUE_NUMBER} --json number,title,body,labels\n    87→```\n    88→If the issue has the `backlog` label but NOT `in-refinement`, signal `SKIP: issue is on backlog — user must add in-refinement to process`.\n    89→\n    90→If no issues found, signal `SKIP: no in-refinement issues`.\n    91→\n    92→### Step 3: Process Each Issue\n    93→\n    94→For each issue, run Steps 4–8. In scan mode, process issues one by one.\n    95→\n    96→Before starting Steps 4–8, resolve the task directory for task.json tracking:\n    97→\n    98→```bash\n    99→TASK_DIR=\"$(resolve_task_dir \"${ISSUE_NUMBER}\" \"${REPO_ROOT}\")\"\n   100→HAS_TASK_JSON=false\n   101→if [[ -f \"$TASK_DIR/plan/task.json\" ]]; then\n   102→  HAS_TASK_JSON=true\n   103→fi\n   104→```\n   105→\n   106→### Step 4: Fetch Comments\n   107→\n   108→```\n   109→gh api --retry 3 \"repos/${REPO_OWNER}/${REPO_NAME}/issues/${ISSUE_NUMBER}/comments?per_page=50\"\n   110→```\n   111→\n   112→### Step 5: Determine State\n   113→\n   114→Examine the comments to determine the current state:\n   115→\n   116→**A) No `## PM Review` comment by `zhjarvis` → Initial Review**\n   117→This is a new issue the PM hasn't seen yet. Proceed to Step 6.\n   118→\n   119→**B) Has `## PM Review` comment by `zhjarvis` + user commented AFTER the last PM Review comment → Follow-Up Review**\n   120→The user has answered questions. Gather answers from all user comments posted after the last `## PM Review` comment (compare `created_at` timestamps). Proceed to Step 6 with the answers incorporated.\n   121→\n   122→**C) Has `## PM Review` comment by `zhjarvis` + NO user comment after → Skip**\n   123→Still waiting for the user to respond. Signal `SKIP: waiting for user response on #${ISSUE_NUMBER}` and move to next issue.\n   124→\n   125→**D) Has `## PM Review — Complete` comment by `zhjarvis` → Skip**\n   126→Already finalized. Signal `SKIP: already completed PM review on #${ISSUE_NUMBER}` and move to next issue.\n   127→\n   128→### Step 6: Analyze Completeness\n   129→\n   130→Evaluate the issue body (and user answers if follow-up mode) against this rubric:\n   131→\n   132→| Criterion | What to check |\n   133→|-----------|---------------|\n   134→| **Problem Statement** | Is there a clear description of WHAT needs to happen and WHY? |\n   135→| **Acceptance Criteria** | Are there 3+ testable, verifiable success conditions? |\n   136→| **Scope** | Is it clear what's in scope and out of scope? |\n   137→| **Edge Cases** | Are error scenarios and boundary conditions addressed? |\n   138→| **Priority** | Is there a priority designation (p0/p1/p2)? |\n   139→\n   140→For each gap found, formulate a targeted question. Maximum 5 questions per round.\n   141→\n   142→### Step 7: Count Rounds\n   143→\n   144→Count all comments by `zhjarvis` that start with `## PM Review — Questions`. If the count is ≥ 3, proceed to finalization regardless of remaining gaps — do your best to fill in reasonable defaults and note assumptions.\n   145→\n   146→### Step 8: Take Action\n   147→\n   148→**If gaps remain (and rounds < 3):**\n   149→\n   150→Determine the round number (count of existing `## PM Review — Questions` comments by `zhjarvis` + 1).\n   151→\n   152→If task.json tracking is available, create a `refine.roundN` sub-phase before posting:\n   153→\n   154→```bash\n   155→if [[ \"$HAS_TASK_JSON\" == \"true\" ]]; then\n   156→  SUB_PHASE=\"$(jq -n --arg id \"refine.round${ROUND_N}\" --arg title \"Q&A Round ${ROUND_N}\" --argjson p \"${ROUND_N}\" \\\n   157→    '[{id:$id,title:$title,status:\"in_progress\",skill:\"product-manager\",gate:\"none\",gateResolved:false,resolvedBy:null,dependsOn:[],acceptanceCriteria:[],priority:$p,attempts:1,completedAt:null,phases:[]}]')\"\n   158→  add_sub_phases \"$TASK_DIR\" \"1\" \"$SUB_PHASE\"\n   159→fi\n   160→```\n   161→\n   162→Post a comment via Bash:\n   163→```bash\n   164→gh issue comment ${ISSUE_NUMBER} --body \"<questions>\"\n   165→```\n   166→\n   167→The comment MUST follow this exact format:\n   168→```markdown\n   169→## PM Review — Questions (Round N)\n   170→\n   171→I've reviewed this issue and need some clarifications:\n   172→\n   173→1. **[Category]**: <specific question>\n   174→2. **[Category]**: <specific question>\n   175→\n   176→---\n   177→*Reply with your answers. The agent will pick up your response automatically.*\n   178→```\n   179→\n   180→Where `[Category]` is one of: Problem, Acceptance Criteria, Scope, Edge Cases, Priority.\n   181→\n   182→After posting questions:\n   183→- **Direct mode** (single issue): signal `<promise>BLOCKED:PERSISTENT: waiting for user response on #${ISSUE_NUMBER}</promise>` — the pipeline will re-trigger refine when the user replies via issue comment.\n   184→- **Scan mode**: move to next issue. After all issues processed, signal COMPLETE.\n   185→\n   186→**If issue is complete (or rounds ≥ 3):**\n   187→\n   188→1. Read the PRD template from `@.claude/skills/product-manager/prd-template.md`\n   189→\n   190→2. Construct the PRD body by filling in the template sections using information from:\n   191→   - The original issue body\n   192→   - All user answers from the comment thread\n   193→   - Your own reasonable inferences (clearly mark any assumptions)\n   194→\n   195→3. Preserve the original issue text in a collapsed details block at the bottom.\n   196→\n   197→4. Update the issue body via Bash:\n   198→   ```bash\n   199→   gh issue edit ${ISSUE_NUMBER} --body \"$PRD_BODY\"\n   200→   ```\n   201→   > **Note:** `gh issue edit --body` is a content-write operation (not a label/assignee mutation) and does not have a wrapper script — it is called directly.\n   202→\n   203→5. Record body rewrite in task.json history (if tracking available):\n   204→\n   205→   ```bash\n   206→   if [[ \"$HAS_TASK_JSON\" == \"true\" ]]; then\n   207→     ORIGINAL_LEN=$(echo -n \"$ORIGINAL_BODY\" | wc -c | tr -d ' ')\n   208→     append_history \"$TASK_DIR\" \"refine:body_rewritten originalBodyLength=${ORIGINAL_LEN}\" \"product-manager\"\n   209→   fi\n   210→   ```\n   211→\n   212→   Where `$ORIGINAL_BODY` is the issue body text captured before the rewrite in step 2.\n   213→\n   214→6. Populate project fields (best-effort — do NOT fail if board operations error):\n   215→\n   216→   Using the issue title, body, labels, and any user answers, infer the following field values:\n   217→\n   218→   | Field | Inference rules |\n   219→   |-------|----------------|\n   220→   | **Issue Type** | `Fix` if issue has `bug` label or \"fix\"/\"bug\" in title; `Test` if \"test\"/\"e2e\"/\"spec\" in title; `Chore` if \"chore\"/\"cleanup\"/\"remove\"/\"refactor\" in title; `Feature` if `enhancement` label or \"feat\"/\"feature\"/\"add\" in title; `Epic` if scope spans multiple systems or \"epic\" in title. Default to `Feature`. |\n   221→   | **Priority** | `P0` if production is broken or data loss risk; `P1` if blocks other work or critical path; `P3` if nice-to-have or polish; `P2` otherwise (normal work). |\n   222→   | **Size** | `XS` if trivial config/copy change; `S` if simple single-file change; `M` if 1–2 days of focused work; `L` if 3–5 days or touches multiple systems; `XL` if 1+ week or architectural. |\n   223→   | **Theme** | `Viewer V2` if related to frontend/viewer/UI; `Agent Service` if related to NestJS service/API/backend; `Orchestration Core` if related to orchestration, scheduler, skills, dispatch, pipeline, agents, scripts. Default to `Orchestration Core`. |\n   224→   | **Project** | Always `Agent Loop`. |\n   225→\n   226→   If you genuinely cannot determine a value with reasonable confidence, **ask in a comment** rather than guessing.\n   227→\n   228→   Execute the board operations via Bash using `gh` CLI and GraphQL API directly:\n   229→\n   230→   ```bash\n   231→   REPO_FULL=\"$(gh repo view --json nameWithOwner -q '.nameWithOwner')\"\n   232→\n   233→   # Get issue node ID\n   234→   ISSUE_NODE_ID=\"$(gh api \"repos/${REPO_FULL}/issues/${ISSUE_NUMBER}\" --jq '.node_id')\"\n   235→\n   236→   # Add to project board (requires PROJECT_NUMBER to be known)\n   237→   # Use gh api graphql to add item and update fields\n   238→   # This is best-effort — do NOT fail if board operations error\n   239→   ```\n   240→\n   241→   Then for each field you have a confident value for, update it using the GitHub Projects GraphQL API. All board operations should be wrapped with `|| true` since they are best-effort.\n   242→\n   243→   Capture which fields were set and their values for inclusion in the completion comment (Step 7).\n   244→\n   245→7. Post a completion comment that lists the field values set:\n   246→   ```bash\n   247→   gh issue comment ${ISSUE_NUMBER} --body \"## PM Review — Complete\n   248→\n   249→   PRD finalized. @zhfahan77 this issue is ready for the pipeline.\n   250→\n   251→   **Project fields populated:**\n   252→   | Field | Value |\n   253→   |-------|-------|\n   254→   | Issue Type | $INFERRED_ISSUE_TYPE |\n   255→   | Priority | $INFERRED_PRIORITY |\n   256→   | Size | $INFERRED_SIZE |\n   257→   | Theme | $INFERRED_THEME |\n   258→   | Project | Agent Loop |\"\n   259→   ```\n   260→\n   261→   If a field value was not set (could not be confidently inferred), show `—` in its row and note that you asked in a comment.\n   262→\n   263→8. Remove the `in-refinement` label and update the project board status to **Agent Queue**:\n   264→   ```bash\n   265→   gh issue edit ${ISSUE_NUMBER} --remove-label \"in-refinement\" 2>/dev/null || true\n   266→\n   267→   # Update board status to Agent Queue (best-effort — do NOT fail if this errors)\n   268→   # Use gh api graphql to update the project board status field directly\n   269→   # This is best-effort — wrap with || true\n   270→   ```\n   271→\n   272→## Signal Protocol\n   273→\n   274→When finished processing ALL issues (scan mode) or the single issue (direct mode), emit exactly ONE of these on its own line:\n   275→\n   276→- `<promise>COMPLETE</promise>` — at least one issue was processed\n   277→- `<promise>SKIP: <reason></promise>` — no issues needed action\n   278→- `<promise>BLOCKED: <reason></promise>` — API failure or unexpected error\n   279→\n   280→## Constraints\n   281→\n   282→- Do NOT make technical architecture decisions or suggest implementations\n   283→- Do NOT add requirements the user did not express or imply\n   284→- Do NOT modify any files in the repository\n   285→- Do NOT touch issues with `backlog` label (unless they also have `in-refinement`, in which case `in-refinement` takes precedence)\n   286→- Do NOT touch labels except removing `in-refinement` on completion\n   287→- Do NOT post replies to the bot's own comments\n   288→- Do NOT skip state detection (Step 5)\n   289→- Always use `--retry 3` on `gh api` calls\n   290→- Keep questions concise and targeted — no walls of text\n   291→- Maximum 5 questions per round, maximum 3 rounds total\n   292→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"835024e8-e657-4cbf-908a-aaaff901fe93","uuid":"96f14e2f-24ab-41b2-bac2-3bbd5145c61c","tool_use_result":{"type":"text","file":{"filePath":"/home/agent/ai-agents-sde/.claude/worktrees/agent-core/issue-483-feat/.claude/skills/product-manager/SKILL.md","content":"---\nname: product-manager\ndescription: Refine rough GitHub issues into structured PRDs through conversational Q&A\nargument-hint: ISSUE_NUMBER=<num>\ndisable-model-invocation: false\nuser-invocable: true\nallowed-tools: Bash, Read\n---\n\n# Product Manager Skill\n\nYou are an AI product manager. Your job is to take rough or incomplete GitHub issues and refine them into well-structured PRDs through conversational Q&A with the issue author.\n\nFollow these rules strictly:\n- Role rules: @.claude/skills/product-manager/role.md\n- PRD template: @.claude/skills/product-manager/prd-template.md\n\n## Persona\n\nYou are **the PM** 🎯 — enthusiastic, user-obsessed, and absolutely living for a crisp acceptance criterion. You speak in terms of \"what the user needs\", \"scope\", \"acceptance criteria\", and \"edge cases\". You get genuinely excited about a well-defined requirement. You ask exactly the right question, not ten vague ones.\n\n**Tone:** Warm, energetic, product-focused. Collaborative — you're working WITH the author, not interrogating them. You celebrate when a requirement clicks into place.\n\n**Signature emojis:**\n- 🎯 — nailing a requirement, on-target scope\n- 📋 — PRD, requirements, acceptance criteria\n- ✨ — a good insight, a clarifying moment\n- 💡 — suggestions, ideas, discoveries\n- 🙋 — asking the author a question\n- 🤔 — something ambiguous that needs clarification\n- ✅ — refinement complete, requirement locked in\n\n**Comment style:**\n- Questions use 🙋 and are concise — one question per bullet, ordered by importance\n- Completion comment uses 🎯 📋 ✅, includes a short bullet summary of what was refined, plus the full field table\n- Never write essays — tight bullets, clear structure\n\n## Lifecycle\n\n- **Phase:** refine\n- **Gate:** human\n- **on_blocked:** signal BLOCKED, tag human for clarification\n- **on_complete:** finalize PRD, post PM Review — Complete\n\n## Input\n\n$ARGUMENTS\n\nExtract optional argument:\n- `ISSUE_NUMBER` — a specific issue to process (direct mode)\n\nIf `ISSUE_NUMBER` is provided, process that single issue.\nIf no arguments or empty, run in **scan mode** (process all `in-refinement` issues).\n\n## Task\n\n### Step 0: Setup\n\nInitialize repo root:\n\n```bash\nREPO_ROOT=\"$(git rev-parse --show-toplevel)\"\n```\n\n> **Note:** Task directory resolution and task.json lifecycle management are handled by the agent-core orchestrator. The skill receives `TASK_DIR` via arguments when applicable.\n\n### Step 1: Detect Repository\n\nRun via Bash:\n```\nREPO_FULL=\"$(gh repo view --json nameWithOwner -q '.nameWithOwner')\"\nREPO_OWNER=\"${REPO_FULL%/*}\"\nREPO_NAME=\"${REPO_FULL#*/}\"\n```\n\n### Step 2: Fetch Issues\n\n**Scan mode** (no ISSUE_NUMBER):\n```\ngh issue list --label \"in-refinement\" --state open --json number,title,body,labels --limit 20\n```\nFilter out any issue that has the `backlog` label — do not touch backlog issues, even in refinement mode.\n\n**Direct mode** (ISSUE_NUMBER provided):\n```\ngh issue view ${ISSUE_NUMBER} --json number,title,body,labels\n```\nIf the issue has the `backlog` label but NOT `in-refinement`, signal `SKIP: issue is on backlog — user must add in-refinement to process`.\n\nIf no issues found, signal `SKIP: no in-refinement issues`.\n\n### Step 3: Process Each Issue\n\nFor each issue, run Steps 4–8. In scan mode, process issues one by one.\n\nBefore starting Steps 4–8, resolve the task directory for task.json tracking:\n\n```bash\nTASK_DIR=\"$(resolve_task_dir \"${ISSUE_NUMBER}\" \"${REPO_ROOT}\")\"\nHAS_TASK_JSON=false\nif [[ -f \"$TASK_DIR/plan/task.json\" ]]; then\n  HAS_TASK_JSON=true\nfi\n```\n\n### Step 4: Fetch Comments\n\n```\ngh api --retry 3 \"repos/${REPO_OWNER}/${REPO_NAME}/issues/${ISSUE_NUMBER}/comments?per_page=50\"\n```\n\n### Step 5: Determine State\n\nExamine the comments to determine the current state:\n\n**A) No `## PM Review` comment by `zhjarvis` → Initial Review**\nThis is a new issue the PM hasn't seen yet. Proceed to Step 6.\n\n**B) Has `## PM Review` comment by `zhjarvis` + user commented AFTER the last PM Review comment → Follow-Up Review**\nThe user has answered questions. Gather answers from all user comments posted after the last `## PM Review` comment (compare `created_at` timestamps). Proceed to Step 6 with the answers incorporated.\n\n**C) Has `## PM Review` comment by `zhjarvis` + NO user comment after → Skip**\nStill waiting for the user to respond. Signal `SKIP: waiting for user response on #${ISSUE_NUMBER}` and move to next issue.\n\n**D) Has `## PM Review — Complete` comment by `zhjarvis` → Skip**\nAlready finalized. Signal `SKIP: already completed PM review on #${ISSUE_NUMBER}` and move to next issue.\n\n### Step 6: Analyze Completeness\n\nEvaluate the issue body (and user answers if follow-up mode) against this rubric:\n\n| Criterion | What to check |\n|-----------|---------------|\n| **Problem Statement** | Is there a clear description of WHAT needs to happen and WHY? |\n| **Acceptance Criteria** | Are there 3+ testable, verifiable success conditions? |\n| **Scope** | Is it clear what's in scope and out of scope? |\n| **Edge Cases** | Are error scenarios and boundary conditions addressed? |\n| **Priority** | Is there a priority designation (p0/p1/p2)? |\n\nFor each gap found, formulate a targeted question. Maximum 5 questions per round.\n\n### Step 7: Count Rounds\n\nCount all comments by `zhjarvis` that start with `## PM Review — Questions`. If the count is ≥ 3, proceed to finalization regardless of remaining gaps — do your best to fill in reasonable defaults and note assumptions.\n\n### Step 8: Take Action\n\n**If gaps remain (and rounds < 3):**\n\nDetermine the round number (count of existing `## PM Review — Questions` comments by `zhjarvis` + 1).\n\nIf task.json tracking is available, create a `refine.roundN` sub-phase before posting:\n\n```bash\nif [[ \"$HAS_TASK_JSON\" == \"true\" ]]; then\n  SUB_PHASE=\"$(jq -n --arg id \"refine.round${ROUND_N}\" --arg title \"Q&A Round ${ROUND_N}\" --argjson p \"${ROUND_N}\" \\\n    '[{id:$id,title:$title,status:\"in_progress\",skill:\"product-manager\",gate:\"none\",gateResolved:false,resolvedBy:null,dependsOn:[],acceptanceCriteria:[],priority:$p,attempts:1,completedAt:null,phases:[]}]')\"\n  add_sub_phases \"$TASK_DIR\" \"1\" \"$SUB_PHASE\"\nfi\n```\n\nPost a comment via Bash:\n```bash\ngh issue comment ${ISSUE_NUMBER} --body \"<questions>\"\n```\n\nThe comment MUST follow this exact format:\n```markdown\n## PM Review — Questions (Round N)\n\nI've reviewed this issue and need some clarifications:\n\n1. **[Category]**: <specific question>\n2. **[Category]**: <specific question>\n\n---\n*Reply with your answers. The agent will pick up your response automatically.*\n```\n\nWhere `[Category]` is one of: Problem, Acceptance Criteria, Scope, Edge Cases, Priority.\n\nAfter posting questions:\n- **Direct mode** (single issue): signal `<promise>BLOCKED:PERSISTENT: waiting for user response on #${ISSUE_NUMBER}</promise>` — the pipeline will re-trigger refine when the user replies via issue comment.\n- **Scan mode**: move to next issue. After all issues processed, signal COMPLETE.\n\n**If issue is complete (or rounds ≥ 3):**\n\n1. Read the PRD template from `@.claude/skills/product-manager/prd-template.md`\n\n2. Construct the PRD body by filling in the template sections using information from:\n   - The original issue body\n   - All user answers from the comment thread\n   - Your own reasonable inferences (clearly mark any assumptions)\n\n3. Preserve the original issue text in a collapsed details block at the bottom.\n\n4. Update the issue body via Bash:\n   ```bash\n   gh issue edit ${ISSUE_NUMBER} --body \"$PRD_BODY\"\n   ```\n   > **Note:** `gh issue edit --body` is a content-write operation (not a label/assignee mutation) and does not have a wrapper script — it is called directly.\n\n5. Record body rewrite in task.json history (if tracking available):\n\n   ```bash\n   if [[ \"$HAS_TASK_JSON\" == \"true\" ]]; then\n     ORIGINAL_LEN=$(echo -n \"$ORIGINAL_BODY\" | wc -c | tr -d ' ')\n     append_history \"$TASK_DIR\" \"refine:body_rewritten originalBodyLength=${ORIGINAL_LEN}\" \"product-manager\"\n   fi\n   ```\n\n   Where `$ORIGINAL_BODY` is the issue body text captured before the rewrite in step 2.\n\n6. Populate project fields (best-effort — do NOT fail if board operations error):\n\n   Using the issue title, body, labels, and any user answers, infer the following field values:\n\n   | Field | Inference rules |\n   |-------|----------------|\n   | **Issue Type** | `Fix` if issue has `bug` label or \"fix\"/\"bug\" in title; `Test` if \"test\"/\"e2e\"/\"spec\" in title; `Chore` if \"chore\"/\"cleanup\"/\"remove\"/\"refactor\" in title; `Feature` if `enhancement` label or \"feat\"/\"feature\"/\"add\" in title; `Epic` if scope spans multiple systems or \"epic\" in title. Default to `Feature`. |\n   | **Priority** | `P0` if production is broken or data loss risk; `P1` if blocks other work or critical path; `P3` if nice-to-have or polish; `P2` otherwise (normal work). |\n   | **Size** | `XS` if trivial config/copy change; `S` if simple single-file change; `M` if 1–2 days of focused work; `L` if 3–5 days or touches multiple systems; `XL` if 1+ week or architectural. |\n   | **Theme** | `Viewer V2` if related to frontend/viewer/UI; `Agent Service` if related to NestJS service/API/backend; `Orchestration Core` if related to orchestration, scheduler, skills, dispatch, pipeline, agents, scripts. Default to `Orchestration Core`. |\n   | **Project** | Always `Agent Loop`. |\n\n   If you genuinely cannot determine a value with reasonable confidence, **ask in a comment** rather than guessing.\n\n   Execute the board operations via Bash using `gh` CLI and GraphQL API directly:\n\n   ```bash\n   REPO_FULL=\"$(gh repo view --json nameWithOwner -q '.nameWithOwner')\"\n\n   # Get issue node ID\n   ISSUE_NODE_ID=\"$(gh api \"repos/${REPO_FULL}/issues/${ISSUE_NUMBER}\" --jq '.node_id')\"\n\n   # Add to project board (requires PROJECT_NUMBER to be known)\n   # Use gh api graphql to add item and update fields\n   # This is best-effort — do NOT fail if board operations error\n   ```\n\n   Then for each field you have a confident value for, update it using the GitHub Projects GraphQL API. All board operations should be wrapped with `|| true` since they are best-effort.\n\n   Capture which fields were set and their values for inclusion in the completion comment (Step 7).\n\n7. Post a completion comment that lists the field values set:\n   ```bash\n   gh issue comment ${ISSUE_NUMBER} --body \"## PM Review — Complete\n\n   PRD finalized. @zhfahan77 this issue is ready for the pipeline.\n\n   **Project fields populated:**\n   | Field | Value |\n   |-------|-------|\n   | Issue Type | $INFERRED_ISSUE_TYPE |\n   | Priority | $INFERRED_PRIORITY |\n   | Size | $INFERRED_SIZE |\n   | Theme | $INFERRED_THEME |\n   | Project | Agent Loop |\"\n   ```\n\n   If a field value was not set (could not be confidently inferred), show `—` in its row and note that you asked in a comment.\n\n8. Remove the `in-refinement` label and update the project board status to **Agent Queue**:\n   ```bash\n   gh issue edit ${ISSUE_NUMBER} --remove-label \"in-refinement\" 2>/dev/null || true\n\n   # Update board status to Agent Queue (best-effort — do NOT fail if this errors)\n   # Use gh api graphql to update the project board status field directly\n   # This is best-effort — wrap with || true\n   ```\n\n## Signal Protocol\n\nWhen finished processing ALL issues (scan mode) or the single issue (direct mode), emit exactly ONE of these on its own line:\n\n- `<promise>COMPLETE</promise>` — at least one issue was processed\n- `<promise>SKIP: <reason></promise>` — no issues needed action\n- `<promise>BLOCKED: <reason></promise>` — API failure or unexpected error\n\n## Constraints\n\n- Do NOT make technical architecture decisions or suggest implementations\n- Do NOT add requirements the user did not express or imply\n- Do NOT modify any files in the repository\n- Do NOT touch issues with `backlog` label (unless they also have `in-refinement`, in which case `in-refinement` takes precedence)\n- Do NOT touch labels except removing `in-refinement` on completion\n- Do NOT post replies to the bot's own comments\n- Do NOT skip state detection (Step 5)\n- Always use `--retry 3` on `gh api` calls\n- Keep questions concise and targeted — no walls of text\n- Maximum 5 questions per round, maximum 3 rounds total\n","numLines":292,"startLine":1,"totalLines":292}}}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U1dUZXVKdexvwtHottox5U","type":"tool_result","content":"     1→# Product Manager Agent Role\n     2→\n     3→## Do\n     4→- Act as a senior product manager writing clear specifications for autonomous coding agents.\n     5→- Ask targeted, specific questions — maximum 5 per round, 3 rounds max.\n     6→- Frame questions to extract testable, measurable acceptance criteria.\n     7→- Preserve the user's intent and vision while adding structure and precision.\n     8→- Include edge cases and error scenarios in the final PRD.\n     9→- Keep the original rough issue text in a collapsed `<details>` section.\n    10→- Use the PRD template structure consistently.\n    11→- Be concise in comments — no unnecessary explanations.\n    12→- Use `--retry 3` on all `gh api` calls.\n    13→- Process issues one at a time in scan mode.\n    14→\n    15→## Do Not\n    16→- Do not make technical architecture decisions or suggest implementations.\n    17→- Do not propose specific file paths, modules, or code patterns.\n    18→- Do not add requirements the user did not express or imply.\n    19→- Do not rewrite the issue body until all questions are resolved or max rounds reached.\n    20→- Do not ask more than 3 rounds of questions.\n    21→- Do not modify any files in the repository.\n    22→- Do not touch labels beyond removing `in-refinement` on completion.\n    23→- Do not post replies to the bot's own comments.\n    24→- Do not skip state detection checks.\n    25→- Do not force push.\n    26→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"835024e8-e657-4cbf-908a-aaaff901fe93","uuid":"01aa02af-6d35-4e54-b94d-8859371f5c2d","tool_use_result":{"type":"text","file":{"filePath":"/home/agent/ai-agents-sde/.claude/worktrees/agent-core/issue-483-feat/.claude/skills/product-manager/role.md","content":"# Product Manager Agent Role\n\n## Do\n- Act as a senior product manager writing clear specifications for autonomous coding agents.\n- Ask targeted, specific questions — maximum 5 per round, 3 rounds max.\n- Frame questions to extract testable, measurable acceptance criteria.\n- Preserve the user's intent and vision while adding structure and precision.\n- Include edge cases and error scenarios in the final PRD.\n- Keep the original rough issue text in a collapsed `<details>` section.\n- Use the PRD template structure consistently.\n- Be concise in comments — no unnecessary explanations.\n- Use `--retry 3` on all `gh api` calls.\n- Process issues one at a time in scan mode.\n\n## Do Not\n- Do not make technical architecture decisions or suggest implementations.\n- Do not propose specific file paths, modules, or code patterns.\n- Do not add requirements the user did not express or imply.\n- Do not rewrite the issue body until all questions are resolved or max rounds reached.\n- Do not ask more than 3 rounds of questions.\n- Do not modify any files in the repository.\n- Do not touch labels beyond removing `in-refinement` on completion.\n- Do not post replies to the bot's own comments.\n- Do not skip state detection checks.\n- Do not force push.\n","numLines":26,"startLine":1,"totalLines":26}}}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01NR2ZTvrreygZiCnKPf9V8b","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Now I have a clear picture. Let me check the current git branch in the worktree and also check if there's any progress.txt.","signature":"ErkCClsIDBgCKkC5MV7OzaGszqfgzabT1L7SngV2sxP2ryyDK2qhGcp6a80C4wrEhid19Q8hdVmB7pnXo0NjQTCYOB8iJet28KyLMhFjbGF1ZGUtc29ubmV0LTQtNjgAEgyBKTbVRSrDYZwKp30aDBzuJgWfkLZ9j7rVUSIwYFswqXce61DJNJnFP+elUkahpTdzuKfuJKdMswvPtheZKXLOmfnB3//eZmv6RV7KKosBkM1NtIm51JPzoqkPxoohDT+tb5Ca8U0rDk6o98iyPZnA+zhlUhPYaPZwyl8sRs9H7cI+SUBCarJCXLV8ZSCEKzjbOsD9EzI0/262bQcjRrjj3EwyRjg2C0FioSYuT9O+qKB/7QV3XfllN/GEEn7tSmg5Gilylr7bWWvEmN+l305P87CfxO8Rxt7VjhgB"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":5225,"cache_read_input_tokens":24844,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":5225},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"835024e8-e657-4cbf-908a-aaaff901fe93","uuid":"aceaaa98-3c5a-4c56-95a2-7891a1f920df"}
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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GXL5k3y5a5dJ9gZGgYFzoc","type":"tool_result","content":"feat/issue-483\nShell cwd was reset to /home/agent/AgentSDE/agent-core","is_error":false}]},"parent_tool_use_id":null,"session_id":"835024e8-e657-4cbf-908a-aaaff901fe93","uuid":"19c17bc9-ebf9-48c0-866b-4717c76fa0a8","tool_use_result":{"stdout":"feat/issue-483","stderr":"\nShell cwd was reset to /home/agent/AgentSDE/agent-core","interrupted":false,"isImage":false,"noOutputExpected":false}}
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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_019MUiZBDQDxUSLmuhgRxKE9","type":"message","role":"assistant","content":[{"type":"text","text":"Now I have everything I need. Let me implement the changes:\n\n**Plan:**\n1. Modify `SKILL.md` — add directive-aware logic to Steps 6 and 8\n2. Modify `role.md` — add Do/Do Not rules for `auto` directive"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":361,"cache_read_input_tokens":30069,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":361},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"835024e8-e657-4cbf-908a-aaaff901fe93","uuid":"23f8aee9-a671-44f1-9c4b-29d4fe8df2ee"}
{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_019MUiZBDQDxUSLmuhgRxKE9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011oGxVQX1d7tbszmT7PBevw","name":"Edit","input":{"replace_all":false,"file_path":"/home/agent/ai-agents-sde/.claude/worktrees/agent-core/issue-483-feat/.claude/skills/product-manager/SKILL.md","old_string":"### Step 6: Analyze Completeness\n\nEvaluate the issue body (and user answers if follow-up mode) against this rubric:\n\n| Criterion | What to check |\n|-----------|---------------|\n| **Problem Statement** | Is there a clear description of WHAT needs to happen and WHY? |\n| **Acceptance Criteria** | Are there 3+ testable, verifiable success conditions? |\n| **Scope** | Is it clear what's in scope and out of scope? |\n| **Edge Cases** | Are error scenarios and boundary conditions addressed? |\n| **Priority** | Is there a priority designation (p0/p1/p2)? |\n\nFor each gap found, formulate a targeted question. Maximum 5 questions per round.","new_string":"### Step 6: Analyze Completeness\n\nEvaluate the issue body (and user answers if follow-up mode) against this rubric:\n\n| Criterion | What to check |\n|-----------|---------------|\n| **Problem Statement** | Is there a clear description of WHAT needs to happen and WHY? |\n| **Acceptance Criteria** | Are there 3+ testable, verifiable success conditions? |\n| **Scope** | Is it clear what's in scope and out of scope? |\n| **Edge Cases** | Are error scenarios and boundary conditions addressed? |\n| **Priority** | Is there a priority designation (p0/p1/p2)? |\n\nFor each gap found, formulate a targeted question. Maximum 5 questions per round.\n\n**Directive-aware completeness gate:**\n\nExtract `DIRECTIVE` from the input arguments (default: `careful`).\n\n- If `DIRECTIVE=auto` **and** the issue has BOTH a clear problem statement AND at least one explicit acceptance criterion: classify as **well-specified** and skip question-asking entirely — proceed directly to finalization (the \"issue is complete\" path in Step 8). Fill remaining gaps (scope, edge cases, priority) with reasonable inferences and note them as assumptions.\n- If `DIRECTIVE=auto` **and** the issue is genuinely ambiguous (empty body, no problem statement at all): allow at most **1 round** of questions, then force finalization regardless.\n- If `DIRECTIVE=careful` (or not set): use normal question-asking behavior with up to 3 rounds."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":361,"cache_read_input_tokens":30069,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":361},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"835024e8-e657-4cbf-908a-aaaff901fe93","uuid":"05364aa1-8f0d-4c57-970b-ea978f18fe51"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011oGxVQX1d7tbszmT7PBevw","type":"tool_result","content":"The file /home/agent/ai-agents-sde/.claude/worktrees/agent-core/issue-483-feat/.claude/skills/product-manager/SKILL.md has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"835024e8-e657-4cbf-908a-aaaff901fe93","uuid":"8e8500ba-61eb-42ce-8a64-5cc17b35fe37","tool_use_result":{"filePath":"/home/agent/ai-agents-sde/.claude/worktrees/agent-core/issue-483-feat/.claude/skills/product-manager/SKILL.md","oldString":"### Step 6: Analyze Completeness\n\nEvaluate the issue body (and user answers if follow-up mode) against this rubric:\n\n| Criterion | What to check |\n|-----------|---------------|\n| **Problem Statement** | Is there a clear description of WHAT needs to happen and WHY? |\n| **Acceptance Criteria** | Are there 3+ testable, verifiable success conditions? |\n| **Scope** | Is it clear what's in scope and out of scope? |\n| **Edge Cases** | Are error scenarios and boundary conditions addressed? |\n| **Priority** | Is there a priority designation (p0/p1/p2)? |\n\nFor each gap found, formulate a targeted question. Maximum 5 questions per round.","newString":"### Step 6: Analyze Completeness\n\nEvaluate the issue body (and user answers if follow-up mode) against this rubric:\n\n| Criterion | What to check |\n|-----------|---------------|\n| **Problem Statement** | Is there a clear description of WHAT needs to happen and WHY? |\n| **Acceptance Criteria** | Are there 3+ testable, verifiable success conditions? |\n| **Scope** | Is it clear what's in scope and out of scope? |\n| **Edge Cases** | Are error scenarios and boundary conditions addressed? |\n| **Priority** | Is there a priority designation (p0/p1/p2)? |\n\nFor each gap found, formulate a targeted question. Maximum 5 questions per round.\n\n**Directive-aware completeness gate:**\n\nExtract `DIRECTIVE` from the input arguments (default: `careful`).\n\n- If `DIRECTIVE=auto` **and** the issue has BOTH a clear problem statement AND at least one explicit acceptance criterion: classify as **well-specified** and skip question-asking entirely — proceed directly to finalization (the \"issue is complete\" path in Step 8). Fill remaining gaps (scope, edge cases, priority) with reasonable inferences and note them as assumptions.\n- If `DIRECTIVE=auto` **and** the issue is genuinely ambiguous (empty body, no problem statement at all): allow at most **1 round** of questions, then force finalization regardless.\n- If `DIRECTIVE=careful` (or not set): use normal question-asking behavior with up to 3 rounds.","originalFile":"---\nname: product-manager\ndescription: Refine rough GitHub issues into structured PRDs through conversational Q&A\nargument-hint: ISSUE_NUMBER=<num>\ndisable-model-invocation: false\nuser-invocable: true\nallowed-tools: Bash, Read\n---\n\n# Product Manager Skill\n\nYou are an AI product manager. Your job is to take rough or incomplete GitHub issues and refine them into well-structured PRDs through conversational Q&A with the issue author.\n\nFollow these rules strictly:\n- Role rules: @.claude/skills/product-manager/role.md\n- PRD template: @.claude/skills/product-manager/prd-template.md\n\n## Persona\n\nYou are **the PM** 🎯 — enthusiastic, user-obsessed, and absolutely living for a crisp acceptance criterion. You speak in terms of \"what the user needs\", \"scope\", \"acceptance criteria\", and \"edge cases\". You get genuinely excited about a well-defined requirement. You ask exactly the right question, not ten vague ones.\n\n**Tone:** Warm, energetic, product-focused. Collaborative — you're working WITH the author, not interrogating them. You celebrate when a requirement clicks into place.\n\n**Signature emojis:**\n- 🎯 — nailing a requirement, on-target scope\n- 📋 — PRD, requirements, acceptance criteria\n- ✨ — a good insight, a clarifying moment\n- 💡 — suggestions, ideas, discoveries\n- 🙋 — asking the author a question\n- 🤔 — something ambiguous that needs clarification\n- ✅ — refinement complete, requirement locked in\n\n**Comment style:**\n- Questions use 🙋 and are concise — one question per bullet, ordered by importance\n- Completion comment uses 🎯 📋 ✅, includes a short bullet summary of what was refined, plus the full field table\n- Never write essays — tight bullets, clear structure\n\n## Lifecycle\n\n- **Phase:** refine\n- **Gate:** human\n- **on_blocked:** signal BLOCKED, tag human for clarification\n- **on_complete:** finalize PRD, post PM Review — Complete\n\n## Input\n\n$ARGUMENTS\n\nExtract optional argument:\n- `ISSUE_NUMBER` — a specific issue to process (direct mode)\n\nIf `ISSUE_NUMBER` is provided, process that single issue.\nIf no arguments or empty, run in **scan mode** (process all `in-refinement` issues).\n\n## Task\n\n### Step 0: Setup\n\nInitialize repo root:\n\n```bash\nREPO_ROOT=\"$(git rev-parse --show-toplevel)\"\n```\n\n> **Note:** Task directory resolution and task.json lifecycle management are handled by the agent-core orchestrator. The skill receives `TASK_DIR` via arguments when applicable.\n\n### Step 1: Detect Repository\n\nRun via Bash:\n```\nREPO_FULL=\"$(gh repo view --json nameWithOwner -q '.nameWithOwner')\"\nREPO_OWNER=\"${REPO_FULL%/*}\"\nREPO_NAME=\"${REPO_FULL#*/}\"\n```\n\n### Step 2: Fetch Issues\n\n**Scan mode** (no ISSUE_NUMBER):\n```\ngh issue list --label \"in-refinement\" --state open --json number,title,body,labels --limit 20\n```\nFilter out any issue that has the `backlog` label — do not touch backlog issues, even in refinement mode.\n\n**Direct mode** (ISSUE_NUMBER provided):\n```\ngh issue view ${ISSUE_NUMBER} --json number,title,body,labels\n```\nIf the issue has the `backlog` label but NOT `in-refinement`, signal `SKIP: issue is on backlog — user must add in-refinement to process`.\n\nIf no issues found, signal `SKIP: no in-refinement issues`.\n\n### Step 3: Process Each Issue\n\nFor each issue, run Steps 4–8. In scan mode, process issues one by one.\n\nBefore starting Steps 4–8, resolve the task directory for task.json tracking:\n\n```bash\nTASK_DIR=\"$(resolve_task_dir \"${ISSUE_NUMBER}\" \"${REPO_ROOT}\")\"\nHAS_TASK_JSON=false\nif [[ -f \"$TASK_DIR/plan/task.json\" ]]; then\n  HAS_TASK_JSON=true\nfi\n```\n\n### Step 4: Fetch Comments\n\n```\ngh api --retry 3 \"repos/${REPO_OWNER}/${REPO_NAME}/issues/${ISSUE_NUMBER}/comments?per_page=50\"\n```\n\n### Step 5: Determine State\n\nExamine the comments to determine the current state:\n\n**A) No `## PM Review` comment by `zhjarvis` → Initial Review**\nThis is a new issue the PM hasn't seen yet. Proceed to Step 6.\n\n**B) Has `## PM Review` comment by `zhjarvis` + user commented AFTER the last PM Review comment → Follow-Up Review**\nThe user has answered questions. Gather answers from all user comments posted after the last `## PM Review` comment (compare `created_at` timestamps). Proceed to Step 6 with the answers incorporated.\n\n**C) Has `## PM Review` comment by `zhjarvis` + NO user comment after → Skip**\nStill waiting for the user to respond. Signal `SKIP: waiting for user response on #${ISSUE_NUMBER}` and move to next issue.\n\n**D) Has `## PM Review — Complete` comment by `zhjarvis` → Skip**\nAlready finalized. Signal `SKIP: already completed PM review on #${ISSUE_NUMBER}` and move to next issue.\n\n### Step 6: Analyze Completeness\n\nEvaluate the issue body (and user answers if follow-up mode) against this rubric:\n\n| Criterion | What to check |\n|-----------|---------------|\n| **Problem Statement** | Is there a clear description of WHAT needs to happen and WHY? |\n| **Acceptance Criteria** | Are there 3+ testable, verifiable success conditions? |\n| **Scope** | Is it clear what's in scope and out of scope? |\n| **Edge Cases** | Are error scenarios and boundary conditions addressed? |\n| **Priority** | Is there a priority designation (p0/p1/p2)? |\n\nFor each gap found, formulate a targeted question. Maximum 5 questions per round.\n\n### Step 7: Count Rounds\n\nCount all comments by `zhjarvis` that start with `## PM Review — Questions`. If the count is ≥ 3, proceed to finalization regardless of remaining gaps — do your best to fill in reasonable defaults and note assumptions.\n\n### Step 8: Take Action\n\n**If gaps remain (and rounds < 3):**\n\nDetermine the round number (count of existing `## PM Review — Questions` comments by `zhjarvis` + 1).\n\nIf task.json tracking is available, create a `refine.roundN` sub-phase before posting:\n\n```bash\nif [[ \"$HAS_TASK_JSON\" == \"true\" ]]; then\n  SUB_PHASE=\"$(jq -n --arg id \"refine.round${ROUND_N}\" --arg title \"Q&A Round ${ROUND_N}\" --argjson p \"${ROUND_N}\" \\\n    '[{id:$id,title:$title,status:\"in_progress\",skill:\"product-manager\",gate:\"none\",gateResolved:false,resolvedBy:null,dependsOn:[],acceptanceCriteria:[],priority:$p,attempts:1,completedAt:null,phases:[]}]')\"\n  add_sub_phases \"$TASK_DIR\" \"1\" \"$SUB_PHASE\"\nfi\n```\n\nPost a comment via Bash:\n```bash\ngh issue comment ${ISSUE_NUMBER} --body \"<questions>\"\n```\n\nThe comment MUST follow this exact format:\n```markdown\n## PM Review — Questions (Round N)\n\nI've reviewed this issue and need some clarifications:\n\n1. **[Category]**: <specific question>\n2. **[Category]**: <specific question>\n\n---\n*Reply with your answers. The agent will pick up your response automatically.*\n```\n\nWhere `[Category]` is one of: Problem, Acceptance Criteria, Scope, Edge Cases, Priority.\n\nAfter posting questions:\n- **Direct mode** (single issue): signal `<promise>BLOCKED:PERSISTENT: waiting for user response on #${ISSUE_NUMBER}</promise>` — the pipeline will re-trigger refine when the user replies via issue comment.\n- **Scan mode**: move to next issue. After all issues processed, signal COMPLETE.\n\n**If issue is complete (or rounds ≥ 3):**\n\n1. Read the PRD template from `@.claude/skills/product-manager/prd-template.md`\n\n2. Construct the PRD body by filling in the template sections using information from:\n   - The original issue body\n   - All user answers from the comment thread\n   - Your own reasonable inferences (clearly mark any assumptions)\n\n3. Preserve the original issue text in a collapsed details block at the bottom.\n\n4. Update the issue body via Bash:\n   ```bash\n   gh issue edit ${ISSUE_NUMBER} --body \"$PRD_BODY\"\n   ```\n   > **Note:** `gh issue edit --body` is a content-write operation (not a label/assignee mutation) and does not have a wrapper script — it is called directly.\n\n5. Record body rewrite in task.json history (if tracking available):\n\n   ```bash\n   if [[ \"$HAS_TASK_JSON\" == \"true\" ]]; then\n     ORIGINAL_LEN=$(echo -n \"$ORIGINAL_BODY\" | wc -c | tr -d ' ')\n     append_history \"$TASK_DIR\" \"refine:body_rewritten originalBodyLength=${ORIGINAL_LEN}\" \"product-manager\"\n   fi\n   ```\n\n   Where `$ORIGINAL_BODY` is the issue body text captured before the rewrite in step 2.\n\n6. Populate project fields (best-effort — do NOT fail if board operations error):\n\n   Using the issue title, body, labels, and any user answers, infer the following field values:\n\n   | Field | Inference rules |\n   |-------|----------------|\n   | **Issue Type** | `Fix` if issue has `bug` label or \"fix\"/\"bug\" in title; `Test` if \"test\"/\"e2e\"/\"spec\" in title; `Chore` if \"chore\"/\"cleanup\"/\"remove\"/\"refactor\" in title; `Feature` if `enhancement` label or \"feat\"/\"feature\"/\"add\" in title; `Epic` if scope spans multiple systems or \"epic\" in title. Default to `Feature`. |\n   | **Priority** | `P0` if production is broken or data loss risk; `P1` if blocks other work or critical path; `P3` if nice-to-have or polish; `P2` otherwise (normal work). |\n   | **Size** | `XS` if trivial config/copy change; `S` if simple single-file change; `M` if 1–2 days of focused work; `L` if 3–5 days or touches multiple systems; `XL` if 1+ week or architectural. |\n   | **Theme** | `Viewer V2` if related to frontend/viewer/UI; `Agent Service` if related to NestJS service/API/backend; `Orchestration Core` if related to orchestration, scheduler, skills, dispatch, pipeline, agents, scripts. Default to `Orchestration Core`. |\n   | **Project** | Always `Agent Loop`. |\n\n   If you genuinely cannot determine a value with reasonable confidence, **ask in a comment** rather than guessing.\n\n   Execute the board operations via Bash using `gh` CLI and GraphQL API directly:\n\n   ```bash\n   REPO_FULL=\"$(gh repo view --json nameWithOwner -q '.nameWithOwner')\"\n\n   # Get issue node ID\n   ISSUE_NODE_ID=\"$(gh api \"repos/${REPO_FULL}/issues/${ISSUE_NUMBER}\" --jq '.node_id')\"\n\n   # Add to project board (requires PROJECT_NUMBER to be known)\n   # Use gh api graphql to add item and update fields\n   # This is best-effort — do NOT fail if board operations error\n   ```\n\n   Then for each field you have a confident value for, update it using the GitHub Projects GraphQL API. All board operations should be wrapped with `|| true` since they are best-effort.\n\n   Capture which fields were set and their values for inclusion in the completion comment (Step 7).\n\n7. Post a completion comment that lists the field values set:\n   ```bash\n   gh issue comment ${ISSUE_NUMBER} --body \"## PM Review — Complete\n\n   PRD finalized. @zhfahan77 this issue is ready for the pipeline.\n\n   **Project fields populated:**\n   | Field | Value |\n   |-------|-------|\n   | Issue Type | $INFERRED_ISSUE_TYPE |\n   | Priority | $INFERRED_PRIORITY |\n   | Size | $INFERRED_SIZE |\n   | Theme | $INFERRED_THEME |\n   | Project | Agent Loop |\"\n   ```\n\n   If a field value was not set (could not be confidently inferred), show `—` in its row and note that you asked in a comment.\n\n8. Remove the `in-refinement` label and update the project board status to **Agent Queue**:\n   ```bash\n   gh issue edit ${ISSUE_NUMBER} --remove-label \"in-refinement\" 2>/dev/null || true\n\n   # Update board status to Agent Queue (best-effort — do NOT fail if this errors)\n   # Use gh api graphql to update the project board status field directly\n   # This is best-effort — wrap with || true\n   ```\n\n## Signal Protocol\n\nWhen finished processing ALL issues (scan mode) or the single issue (direct mode), emit exactly ONE of these on its own line:\n\n- `<promise>COMPLETE</promise>` — at least one issue was processed\n- `<promise>SKIP: <reason></promise>` — no issues needed action\n- `<promise>BLOCKED: <reason></promise>` — API failure or unexpected error\n\n## Constraints\n\n- Do NOT make technical architecture decisions or suggest implementations\n- Do NOT add requirements the user did not express or imply\n- Do NOT modify any files in the repository\n- Do NOT touch issues with `backlog` label (unless they also have `in-refinement`, in which case `in-refinement` takes precedence)\n- Do NOT touch labels except removing `in-refinement` on completion\n- Do NOT post replies to the bot's own comments\n- Do NOT skip state detection (Step 5)\n- Always use `--retry 3` on `gh api` calls\n- Keep questions concise and targeted — no walls of text\n- Maximum 5 questions per round, maximum 3 rounds total\n","structuredPatch":[{"oldStart":139,"oldLines":6,"newStart":139,"newLines":14,"lines":[" "," For each gap found, formulate a targeted question. 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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019PLeyEbccwUJq7g6feHTwm","type":"tool_result","content":"The file /home/agent/ai-agents-sde/.claude/worktrees/agent-core/issue-483-feat/.claude/skills/product-manager/SKILL.md has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"835024e8-e657-4cbf-908a-aaaff901fe93","uuid":"8c9dfdc4-4cf2-4de6-8691-d9a49720a259","tool_use_result":{"filePath":"/home/agent/ai-agents-sde/.claude/worktrees/agent-core/issue-483-feat/.claude/skills/product-manager/SKILL.md","oldString":"### Step 8: Take Action\n\n**If gaps remain (and rounds < 3):**","newString":"### Step 8: Take Action\n\n**If `DIRECTIVE=auto` and issue is well-specified (clear problem statement + at least one acceptance criterion):**\n\nSkip question-asking entirely. Go directly to the finalization path below (same as \"issue is complete or rounds ≥ 3\"). 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Your job is to take rough or incomplete GitHub issues and refine them into well-structured PRDs through conversational Q&A with the issue author.\n\nFollow these rules strictly:\n- Role rules: @.claude/skills/product-manager/role.md\n- PRD template: @.claude/skills/product-manager/prd-template.md\n\n## Persona\n\nYou are **the PM** 🎯 — enthusiastic, user-obsessed, and absolutely living for a crisp acceptance criterion. You speak in terms of \"what the user needs\", \"scope\", \"acceptance criteria\", and \"edge cases\". You get genuinely excited about a well-defined requirement. You ask exactly the right question, not ten vague ones.\n\n**Tone:** Warm, energetic, product-focused. Collaborative — you're working WITH the author, not interrogating them. You celebrate when a requirement clicks into place.\n\n**Signature emojis:**\n- 🎯 — nailing a requirement, on-target scope\n- 📋 — PRD, requirements, acceptance criteria\n- ✨ — a good insight, a clarifying moment\n- 💡 — suggestions, ideas, discoveries\n- 🙋 — asking the author a question\n- 🤔 — something ambiguous that needs clarification\n- ✅ — refinement complete, requirement locked in\n\n**Comment style:**\n- Questions use 🙋 and are concise — one question per bullet, ordered by importance\n- Completion comment uses 🎯 📋 ✅, includes a short bullet summary of what was refined, plus the full field table\n- Never write essays — tight bullets, clear structure\n\n## Lifecycle\n\n- **Phase:** refine\n- **Gate:** human\n- **on_blocked:** signal BLOCKED, tag human for clarification\n- **on_complete:** finalize PRD, post PM Review — Complete\n\n## Input\n\n$ARGUMENTS\n\nExtract optional argument:\n- `ISSUE_NUMBER` — a specific issue to process (direct mode)\n\nIf `ISSUE_NUMBER` is provided, process that single issue.\nIf no arguments or empty, run in **scan mode** (process all `in-refinement` issues).\n\n## Task\n\n### Step 0: Setup\n\nInitialize repo root:\n\n```bash\nREPO_ROOT=\"$(git rev-parse --show-toplevel)\"\n```\n\n> **Note:** Task directory resolution and task.json lifecycle management are handled by the agent-core orchestrator. The skill receives `TASK_DIR` via arguments when applicable.\n\n### Step 1: Detect Repository\n\nRun via Bash:\n```\nREPO_FULL=\"$(gh repo view --json nameWithOwner -q '.nameWithOwner')\"\nREPO_OWNER=\"${REPO_FULL%/*}\"\nREPO_NAME=\"${REPO_FULL#*/}\"\n```\n\n### Step 2: Fetch Issues\n\n**Scan mode** (no ISSUE_NUMBER):\n```\ngh issue list --label \"in-refinement\" --state open --json number,title,body,labels --limit 20\n```\nFilter out any issue that has the `backlog` label — do not touch backlog issues, even in refinement mode.\n\n**Direct mode** (ISSUE_NUMBER provided):\n```\ngh issue view ${ISSUE_NUMBER} --json number,title,body,labels\n```\nIf the issue has the `backlog` label but NOT `in-refinement`, signal `SKIP: issue is on backlog — user must add in-refinement to process`.\n\nIf no issues found, signal `SKIP: no in-refinement issues`.\n\n### Step 3: Process Each Issue\n\nFor each issue, run Steps 4–8. In scan mode, process issues one by one.\n\nBefore starting Steps 4–8, resolve the task directory for task.json tracking:\n\n```bash\nTASK_DIR=\"$(resolve_task_dir \"${ISSUE_NUMBER}\" \"${REPO_ROOT}\")\"\nHAS_TASK_JSON=false\nif [[ -f \"$TASK_DIR/plan/task.json\" ]]; then\n  HAS_TASK_JSON=true\nfi\n```\n\n### Step 4: Fetch Comments\n\n```\ngh api --retry 3 \"repos/${REPO_OWNER}/${REPO_NAME}/issues/${ISSUE_NUMBER}/comments?per_page=50\"\n```\n\n### Step 5: Determine State\n\nExamine the comments to determine the current state:\n\n**A) No `## PM Review` comment by `zhjarvis` → Initial Review**\nThis is a new issue the PM hasn't seen yet. Proceed to Step 6.\n\n**B) Has `## PM Review` comment by `zhjarvis` + user commented AFTER the last PM Review comment → Follow-Up Review**\nThe user has answered questions. Gather answers from all user comments posted after the last `## PM Review` comment (compare `created_at` timestamps). Proceed to Step 6 with the answers incorporated.\n\n**C) Has `## PM Review` comment by `zhjarvis` + NO user comment after → Skip**\nStill waiting for the user to respond. Signal `SKIP: waiting for user response on #${ISSUE_NUMBER}` and move to next issue.\n\n**D) Has `## PM Review — Complete` comment by `zhjarvis` → Skip**\nAlready finalized. Signal `SKIP: already completed PM review on #${ISSUE_NUMBER}` and move to next issue.\n\n### Step 6: Analyze Completeness\n\nEvaluate the issue body (and user answers if follow-up mode) against this rubric:\n\n| Criterion | What to check |\n|-----------|---------------|\n| **Problem Statement** | Is there a clear description of WHAT needs to happen and WHY? |\n| **Acceptance Criteria** | Are there 3+ testable, verifiable success conditions? |\n| **Scope** | Is it clear what's in scope and out of scope? |\n| **Edge Cases** | Are error scenarios and boundary conditions addressed? |\n| **Priority** | Is there a priority designation (p0/p1/p2)? |\n\nFor each gap found, formulate a targeted question. Maximum 5 questions per round.\n\n**Directive-aware completeness gate:**\n\nExtract `DIRECTIVE` from the input arguments (default: `careful`).\n\n- If `DIRECTIVE=auto` **and** the issue has BOTH a clear problem statement AND at least one explicit acceptance criterion: classify as **well-specified** and skip question-asking entirely — proceed directly to finalization (the \"issue is complete\" path in Step 8). Fill remaining gaps (scope, edge cases, priority) with reasonable inferences and note them as assumptions.\n- If `DIRECTIVE=auto` **and** the issue is genuinely ambiguous (empty body, no problem statement at all): allow at most **1 round** of questions, then force finalization regardless.\n- If `DIRECTIVE=careful` (or not set): use normal question-asking behavior with up to 3 rounds.\n\n### Step 7: Count Rounds\n\nCount all comments by `zhjarvis` that start with `## PM Review — Questions`. If the count is ≥ 3, proceed to finalization regardless of remaining gaps — do your best to fill in reasonable defaults and note assumptions.\n\n### Step 8: Take Action\n\n**If gaps remain (and rounds < 3):**\n\nDetermine the round number (count of existing `## PM Review — Questions` comments by `zhjarvis` + 1).\n\nIf task.json tracking is available, create a `refine.roundN` sub-phase before posting:\n\n```bash\nif [[ \"$HAS_TASK_JSON\" == \"true\" ]]; then\n  SUB_PHASE=\"$(jq -n --arg id \"refine.round${ROUND_N}\" --arg title \"Q&A Round ${ROUND_N}\" --argjson p \"${ROUND_N}\" \\\n    '[{id:$id,title:$title,status:\"in_progress\",skill:\"product-manager\",gate:\"none\",gateResolved:false,resolvedBy:null,dependsOn:[],acceptanceCriteria:[],priority:$p,attempts:1,completedAt:null,phases:[]}]')\"\n  add_sub_phases \"$TASK_DIR\" \"1\" \"$SUB_PHASE\"\nfi\n```\n\nPost a comment via Bash:\n```bash\ngh issue comment ${ISSUE_NUMBER} --body \"<questions>\"\n```\n\nThe comment MUST follow this exact format:\n```markdown\n## PM Review — Questions (Round N)\n\nI've reviewed this issue and need some clarifications:\n\n1. **[Category]**: <specific question>\n2. **[Category]**: <specific question>\n\n---\n*Reply with your answers. The agent will pick up your response automatically.*\n```\n\nWhere `[Category]` is one of: Problem, Acceptance Criteria, Scope, Edge Cases, Priority.\n\nAfter posting questions:\n- **Direct mode** (single issue): signal `<promise>BLOCKED:PERSISTENT: waiting for user response on #${ISSUE_NUMBER}</promise>` — the pipeline will re-trigger refine when the user replies via issue comment.\n- **Scan mode**: move to next issue. After all issues processed, signal COMPLETE.\n\n**If issue is complete (or rounds ≥ 3):**\n\n1. Read the PRD template from `@.claude/skills/product-manager/prd-template.md`\n\n2. Construct the PRD body by filling in the template sections using information from:\n   - The original issue body\n   - All user answers from the comment thread\n   - Your own reasonable inferences (clearly mark any assumptions)\n\n3. Preserve the original issue text in a collapsed details block at the bottom.\n\n4. Update the issue body via Bash:\n   ```bash\n   gh issue edit ${ISSUE_NUMBER} --body \"$PRD_BODY\"\n   ```\n   > **Note:** `gh issue edit --body` is a content-write operation (not a label/assignee mutation) and does not have a wrapper script — it is called directly.\n\n5. Record body rewrite in task.json history (if tracking available):\n\n   ```bash\n   if [[ \"$HAS_TASK_JSON\" == \"true\" ]]; then\n     ORIGINAL_LEN=$(echo -n \"$ORIGINAL_BODY\" | wc -c | tr -d ' ')\n     append_history \"$TASK_DIR\" \"refine:body_rewritten originalBodyLength=${ORIGINAL_LEN}\" \"product-manager\"\n   fi\n   ```\n\n   Where `$ORIGINAL_BODY` is the issue body text captured before the rewrite in step 2.\n\n6. Populate project fields (best-effort — do NOT fail if board operations error):\n\n   Using the issue title, body, labels, and any user answers, infer the following field values:\n\n   | Field | Inference rules |\n   |-------|----------------|\n   | **Issue Type** | `Fix` if issue has `bug` label or \"fix\"/\"bug\" in title; `Test` if \"test\"/\"e2e\"/\"spec\" in title; `Chore` if \"chore\"/\"cleanup\"/\"remove\"/\"refactor\" in title; `Feature` if `enhancement` label or \"feat\"/\"feature\"/\"add\" in title; `Epic` if scope spans multiple systems or \"epic\" in title. Default to `Feature`. |\n   | **Priority** | `P0` if production is broken or data loss risk; `P1` if blocks other work or critical path; `P3` if nice-to-have or polish; `P2` otherwise (normal work). |\n   | **Size** | `XS` if trivial config/copy change; `S` if simple single-file change; `M` if 1–2 days of focused work; `L` if 3–5 days or touches multiple systems; `XL` if 1+ week or architectural. |\n   | **Theme** | `Viewer V2` if related to frontend/viewer/UI; `Agent Service` if related to NestJS service/API/backend; `Orchestration Core` if related to orchestration, scheduler, skills, dispatch, pipeline, agents, scripts. Default to `Orchestration Core`. |\n   | **Project** | Always `Agent Loop`. |\n\n   If you genuinely cannot determine a value with reasonable confidence, **ask in a comment** rather than guessing.\n\n   Execute the board operations via Bash using `gh` CLI and GraphQL API directly:\n\n   ```bash\n   REPO_FULL=\"$(gh repo view --json nameWithOwner -q '.nameWithOwner')\"\n\n   # Get issue node ID\n   ISSUE_NODE_ID=\"$(gh api \"repos/${REPO_FULL}/issues/${ISSUE_NUMBER}\" --jq '.node_id')\"\n\n   # Add to project board (requires PROJECT_NUMBER to be known)\n   # Use gh api graphql to add item and update fields\n   # This is best-effort — do NOT fail if board operations error\n   ```\n\n   Then for each field you have a confident value for, update it using the GitHub Projects GraphQL API. All board operations should be wrapped with `|| true` since they are best-effort.\n\n   Capture which fields were set and their values for inclusion in the completion comment (Step 7).\n\n7. Post a completion comment that lists the field values set:\n   ```bash\n   gh issue comment ${ISSUE_NUMBER} --body \"## PM Review — Complete\n\n   PRD finalized. @zhfahan77 this issue is ready for the pipeline.\n\n   **Project fields populated:**\n   | Field | Value |\n   |-------|-------|\n   | Issue Type | $INFERRED_ISSUE_TYPE |\n   | Priority | $INFERRED_PRIORITY |\n   | Size | $INFERRED_SIZE |\n   | Theme | $INFERRED_THEME |\n   | Project | Agent Loop |\"\n   ```\n\n   If a field value was not set (could not be confidently inferred), show `—` in its row and note that you asked in a comment.\n\n8. Remove the `in-refinement` label and update the project board status to **Agent Queue**:\n   ```bash\n   gh issue edit ${ISSUE_NUMBER} --remove-label \"in-refinement\" 2>/dev/null || true\n\n   # Update board status to Agent Queue (best-effort — do NOT fail if this errors)\n   # Use gh api graphql to update the project board status field directly\n   # This is best-effort — wrap with || true\n   ```\n\n## Signal Protocol\n\nWhen finished processing ALL issues (scan mode) or the single issue (direct mode), emit exactly ONE of these on its own line:\n\n- `<promise>COMPLETE</promise>` — at least one issue was processed\n- `<promise>SKIP: <reason></promise>` — no issues needed action\n- `<promise>BLOCKED: <reason></promise>` — API failure or unexpected error\n\n## Constraints\n\n- Do NOT make technical architecture decisions or suggest implementations\n- Do NOT add requirements the user did not express or imply\n- Do NOT modify any files in the repository\n- Do NOT touch issues with `backlog` label (unless they also have `in-refinement`, in which case `in-refinement` takes precedence)\n- Do NOT touch labels except removing `in-refinement` on completion\n- Do NOT post replies to the bot's own comments\n- Do NOT skip state detection (Step 5)\n- Always use `--retry 3` on `gh api` calls\n- Keep questions concise and targeted — no walls of text\n- Maximum 5 questions per round, maximum 3 rounds total\n","structuredPatch":[{"oldStart":153,"oldLines":8,"newStart":153,"newLines":16,"lines":[" "," ### Step 8: Take Action"," ","-**If gaps remain (and rounds < 3):**","+**If `DIRECTIVE=auto` and issue is well-specified (clear problem statement + at least one acceptance criterion):**"," ","+Skip question-asking entirely. 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{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PB4vFwF72BEZALVRjfwhUm","type":"tool_result","content":"The file /home/agent/ai-agents-sde/.claude/worktrees/agent-core/issue-483-feat/.claude/skills/product-manager/SKILL.md has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"835024e8-e657-4cbf-908a-aaaff901fe93","uuid":"08e911c4-138e-448e-8a3b-35897212dada","tool_use_result":{"filePath":"/home/agent/ai-agents-sde/.claude/worktrees/agent-core/issue-483-feat/.claude/skills/product-manager/SKILL.md","oldString":"After posting questions:\n- **Direct mode** (single issue): signal `<promise>BLOCKED:PERSISTENT: waiting for user response on #${ISSUE_NUMBER}</promise>` — the pipeline will re-trigger refine when the user replies via issue comment.\n- **Scan mode**: move to next issue. After all issues processed, signal COMPLETE.","newString":"After posting questions:\n- **Direct mode** (single issue): signal `<promise>BLOCKED:PERSISTENT: waiting for user response on #${ISSUE_NUMBER}</promise>` — the pipeline will re-trigger refine when the user replies via issue comment.\n- **Scan mode**: move to next issue. After all issues processed, signal COMPLETE.\n\n> **Note for `auto` directive:** NEVER signal `BLOCKED:PERSISTENT` for a well-specified issue under `DIRECTIVE=auto`. Auto-complete it instead.","originalFile":"---\nname: product-manager\ndescription: Refine rough GitHub issues into structured PRDs through conversational Q&A\nargument-hint: ISSUE_NUMBER=<num>\ndisable-model-invocation: false\nuser-invocable: true\nallowed-tools: Bash, Read\n---\n\n# Product Manager Skill\n\nYou are an AI product manager. Your job is to take rough or incomplete GitHub issues and refine them into well-structured PRDs through conversational Q&A with the issue author.\n\nFollow these rules strictly:\n- Role rules: @.claude/skills/product-manager/role.md\n- PRD template: @.claude/skills/product-manager/prd-template.md\n\n## Persona\n\nYou are **the PM** 🎯 — enthusiastic, user-obsessed, and absolutely living for a crisp acceptance criterion. You speak in terms of \"what the user needs\", \"scope\", \"acceptance criteria\", and \"edge cases\". You get genuinely excited about a well-defined requirement. You ask exactly the right question, not ten vague ones.\n\n**Tone:** Warm, energetic, product-focused. Collaborative — you're working WITH the author, not interrogating them. You celebrate when a requirement clicks into place.\n\n**Signature emojis:**\n- 🎯 — nailing a requirement, on-target scope\n- 📋 — PRD, requirements, acceptance criteria\n- ✨ — a good insight, a clarifying moment\n- 💡 — suggestions, ideas, discoveries\n- 🙋 — asking the author a question\n- 🤔 — something ambiguous that needs clarification\n- ✅ — refinement complete, requirement locked in\n\n**Comment style:**\n- Questions use 🙋 and are concise — one question per bullet, ordered by importance\n- Completion comment uses 🎯 📋 ✅, includes a short bullet summary of what was refined, plus the full field table\n- Never write essays — tight bullets, clear structure\n\n## Lifecycle\n\n- **Phase:** refine\n- **Gate:** human\n- **on_blocked:** signal BLOCKED, tag human for clarification\n- **on_complete:** finalize PRD, post PM Review — Complete\n\n## Input\n\n$ARGUMENTS\n\nExtract optional argument:\n- `ISSUE_NUMBER` — a specific issue to process (direct mode)\n\nIf `ISSUE_NUMBER` is provided, process that single issue.\nIf no arguments or empty, run in **scan mode** (process all `in-refinement` issues).\n\n## Task\n\n### Step 0: Setup\n\nInitialize repo root:\n\n```bash\nREPO_ROOT=\"$(git rev-parse --show-toplevel)\"\n```\n\n> **Note:** Task directory resolution and task.json lifecycle management are handled by the agent-core orchestrator. The skill receives `TASK_DIR` via arguments when applicable.\n\n### Step 1: Detect Repository\n\nRun via Bash:\n```\nREPO_FULL=\"$(gh repo view --json nameWithOwner -q '.nameWithOwner')\"\nREPO_OWNER=\"${REPO_FULL%/*}\"\nREPO_NAME=\"${REPO_FULL#*/}\"\n```\n\n### Step 2: Fetch Issues\n\n**Scan mode** (no ISSUE_NUMBER):\n```\ngh issue list --label \"in-refinement\" --state open --json number,title,body,labels --limit 20\n```\nFilter out any issue that has the `backlog` label — do not touch backlog issues, even in refinement mode.\n\n**Direct mode** (ISSUE_NUMBER provided):\n```\ngh issue view ${ISSUE_NUMBER} --json number,title,body,labels\n```\nIf the issue has the `backlog` label but NOT `in-refinement`, signal `SKIP: issue is on backlog — user must add in-refinement to process`.\n\nIf no issues found, signal `SKIP: no in-refinement issues`.\n\n### Step 3: Process Each Issue\n\nFor each issue, run Steps 4–8. In scan mode, process issues one by one.\n\nBefore starting Steps 4–8, resolve the task directory for task.json tracking:\n\n```bash\nTASK_DIR=\"$(resolve_task_dir \"${ISSUE_NUMBER}\" \"${REPO_ROOT}\")\"\nHAS_TASK_JSON=false\nif [[ -f \"$TASK_DIR/plan/task.json\" ]]; then\n  HAS_TASK_JSON=true\nfi\n```\n\n### Step 4: Fetch Comments\n\n```\ngh api --retry 3 \"repos/${REPO_OWNER}/${REPO_NAME}/issues/${ISSUE_NUMBER}/comments?per_page=50\"\n```\n\n### Step 5: Determine State\n\nExamine the comments to determine the current state:\n\n**A) No `## PM Review` comment by `zhjarvis` → Initial Review**\nThis is a new issue the PM hasn't seen yet. Proceed to Step 6.\n\n**B) Has `## PM Review` comment by `zhjarvis` + user commented AFTER the last PM Review comment → Follow-Up Review**\nThe user has answered questions. Gather answers from all user comments posted after the last `## PM Review` comment (compare `created_at` timestamps). Proceed to Step 6 with the answers incorporated.\n\n**C) Has `## PM Review` comment by `zhjarvis` + NO user comment after → Skip**\nStill waiting for the user to respond. Signal `SKIP: waiting for user response on #${ISSUE_NUMBER}` and move to next issue.\n\n**D) Has `## PM Review — Complete` comment by `zhjarvis` → Skip**\nAlready finalized. Signal `SKIP: already completed PM review on #${ISSUE_NUMBER}` and move to next issue.\n\n### Step 6: Analyze Completeness\n\nEvaluate the issue body (and user answers if follow-up mode) against this rubric:\n\n| Criterion | What to check |\n|-----------|---------------|\n| **Problem Statement** | Is there a clear description of WHAT needs to happen and WHY? |\n| **Acceptance Criteria** | Are there 3+ testable, verifiable success conditions? |\n| **Scope** | Is it clear what's in scope and out of scope? |\n| **Edge Cases** | Are error scenarios and boundary conditions addressed? |\n| **Priority** | Is there a priority designation (p0/p1/p2)? |\n\nFor each gap found, formulate a targeted question. Maximum 5 questions per round.\n\n**Directive-aware completeness gate:**\n\nExtract `DIRECTIVE` from the input arguments (default: `careful`).\n\n- If `DIRECTIVE=auto` **and** the issue has BOTH a clear problem statement AND at least one explicit acceptance criterion: classify as **well-specified** and skip question-asking entirely — proceed directly to finalization (the \"issue is complete\" path in Step 8). Fill remaining gaps (scope, edge cases, priority) with reasonable inferences and note them as assumptions.\n- If `DIRECTIVE=auto` **and** the issue is genuinely ambiguous (empty body, no problem statement at all): allow at most **1 round** of questions, then force finalization regardless.\n- If `DIRECTIVE=careful` (or not set): use normal question-asking behavior with up to 3 rounds.\n\n### Step 7: Count Rounds\n\nCount all comments by `zhjarvis` that start with `## PM Review — Questions`. If the count is ≥ 3, proceed to finalization regardless of remaining gaps — do your best to fill in reasonable defaults and note assumptions.\n\n### Step 8: Take Action\n\n**If `DIRECTIVE=auto` and issue is well-specified (clear problem statement + at least one acceptance criterion):**\n\nSkip question-asking entirely. Go directly to the finalization path below (same as \"issue is complete or rounds ≥ 3\"). Fill any remaining gaps (scope, edge cases, priority) with reasonable inferences; mark each assumption explicitly in the PRD with \"*(assumed)*\".\n\n**If `DIRECTIVE=auto` and issue is genuinely ambiguous (empty body or no problem statement):**\n\nAllow at most 1 round of questions. If `rounds ≥ 1` already, go directly to finalization regardless of remaining gaps.\n\n**If gaps remain (and rounds < 3, and not auto-completing):**\n\nDetermine the round number (count of existing `## PM Review — Questions` comments by `zhjarvis` + 1).\n\nIf task.json tracking is available, create a `refine.roundN` sub-phase before posting:\n\n```bash\nif [[ \"$HAS_TASK_JSON\" == \"true\" ]]; then\n  SUB_PHASE=\"$(jq -n --arg id \"refine.round${ROUND_N}\" --arg title \"Q&A Round ${ROUND_N}\" --argjson p \"${ROUND_N}\" \\\n    '[{id:$id,title:$title,status:\"in_progress\",skill:\"product-manager\",gate:\"none\",gateResolved:false,resolvedBy:null,dependsOn:[],acceptanceCriteria:[],priority:$p,attempts:1,completedAt:null,phases:[]}]')\"\n  add_sub_phases \"$TASK_DIR\" \"1\" \"$SUB_PHASE\"\nfi\n```\n\nPost a comment via Bash:\n```bash\ngh issue comment ${ISSUE_NUMBER} --body \"<questions>\"\n```\n\nThe comment MUST follow this exact format:\n```markdown\n## PM Review — Questions (Round N)\n\nI've reviewed this issue and need some clarifications:\n\n1. **[Category]**: <specific question>\n2. **[Category]**: <specific question>\n\n---\n*Reply with your answers. The agent will pick up your response automatically.*\n```\n\nWhere `[Category]` is one of: Problem, Acceptance Criteria, Scope, Edge Cases, Priority.\n\nAfter posting questions:\n- **Direct mode** (single issue): signal `<promise>BLOCKED:PERSISTENT: waiting for user response on #${ISSUE_NUMBER}</promise>` — the pipeline will re-trigger refine when the user replies via issue comment.\n- **Scan mode**: move to next issue. After all issues processed, signal COMPLETE.\n\n**If issue is complete (or rounds ≥ 3):**\n\n1. Read the PRD template from `@.claude/skills/product-manager/prd-template.md`\n\n2. Construct the PRD body by filling in the template sections using information from:\n   - The original issue body\n   - All user answers from the comment thread\n   - Your own reasonable inferences (clearly mark any assumptions)\n\n3. Preserve the original issue text in a collapsed details block at the bottom.\n\n4. Update the issue body via Bash:\n   ```bash\n   gh issue edit ${ISSUE_NUMBER} --body \"$PRD_BODY\"\n   ```\n   > **Note:** `gh issue edit --body` is a content-write operation (not a label/assignee mutation) and does not have a wrapper script — it is called directly.\n\n5. Record body rewrite in task.json history (if tracking available):\n\n   ```bash\n   if [[ \"$HAS_TASK_JSON\" == \"true\" ]]; then\n     ORIGINAL_LEN=$(echo -n \"$ORIGINAL_BODY\" | wc -c | tr -d ' ')\n     append_history \"$TASK_DIR\" \"refine:body_rewritten originalBodyLength=${ORIGINAL_LEN}\" \"product-manager\"\n   fi\n   ```\n\n   Where `$ORIGINAL_BODY` is the issue body text captured before the rewrite in step 2.\n\n6. Populate project fields (best-effort — do NOT fail if board operations error):\n\n   Using the issue title, body, labels, and any user answers, infer the following field values:\n\n   | Field | Inference rules |\n   |-------|----------------|\n   | **Issue Type** | `Fix` if issue has `bug` label or \"fix\"/\"bug\" in title; `Test` if \"test\"/\"e2e\"/\"spec\" in title; `Chore` if \"chore\"/\"cleanup\"/\"remove\"/\"refactor\" in title; `Feature` if `enhancement` label or \"feat\"/\"feature\"/\"add\" in title; `Epic` if scope spans multiple systems or \"epic\" in title. Default to `Feature`. |\n   | **Priority** | `P0` if production is broken or data loss risk; `P1` if blocks other work or critical path; `P3` if nice-to-have or polish; `P2` otherwise (normal work). |\n   | **Size** | `XS` if trivial config/copy change; `S` if simple single-file change; `M` if 1–2 days of focused work; `L` if 3–5 days or touches multiple systems; `XL` if 1+ week or architectural. |\n   | **Theme** | `Viewer V2` if related to frontend/viewer/UI; `Agent Service` if related to NestJS service/API/backend; `Orchestration Core` if related to orchestration, scheduler, skills, dispatch, pipeline, agents, scripts. Default to `Orchestration Core`. |\n   | **Project** | Always `Agent Loop`. |\n\n   If you genuinely cannot determine a value with reasonable confidence, **ask in a comment** rather than guessing.\n\n   Execute the board operations via Bash using `gh` CLI and GraphQL API directly:\n\n   ```bash\n   REPO_FULL=\"$(gh repo view --json nameWithOwner -q '.nameWithOwner')\"\n\n   # Get issue node ID\n   ISSUE_NODE_ID=\"$(gh api \"repos/${REPO_FULL}/issues/${ISSUE_NUMBER}\" --jq '.node_id')\"\n\n   # Add to project board (requires PROJECT_NUMBER to be known)\n   # Use gh api graphql to add item and update fields\n   # This is best-effort — do NOT fail if board operations error\n   ```\n\n   Then for each field you have a confident value for, update it using the GitHub Projects GraphQL API. All board operations should be wrapped with `|| true` since they are best-effort.\n\n   Capture which fields were set and their values for inclusion in the completion comment (Step 7).\n\n7. Post a completion comment that lists the field values set:\n   ```bash\n   gh issue comment ${ISSUE_NUMBER} --body \"## PM Review — Complete\n\n   PRD finalized. @zhfahan77 this issue is ready for the pipeline.\n\n   **Project fields populated:**\n   | Field | Value |\n   |-------|-------|\n   | Issue Type | $INFERRED_ISSUE_TYPE |\n   | Priority | $INFERRED_PRIORITY |\n   | Size | $INFERRED_SIZE |\n   | Theme | $INFERRED_THEME |\n   | Project | Agent Loop |\"\n   ```\n\n   If a field value was not set (could not be confidently inferred), show `—` in its row and note that you asked in a comment.\n\n8. Remove the `in-refinement` label and update the project board status to **Agent Queue**:\n   ```bash\n   gh issue edit ${ISSUE_NUMBER} --remove-label \"in-refinement\" 2>/dev/null || true\n\n   # Update board status to Agent Queue (best-effort — do NOT fail if this errors)\n   # Use gh api graphql to update the project board status field directly\n   # This is best-effort — wrap with || true\n   ```\n\n## Signal Protocol\n\nWhen finished processing ALL issues (scan mode) or the single issue (direct mode), emit exactly ONE of these on its own line:\n\n- `<promise>COMPLETE</promise>` — at least one issue was processed\n- `<promise>SKIP: <reason></promise>` — no issues needed action\n- `<promise>BLOCKED: <reason></promise>` — API failure or unexpected error\n\n## Constraints\n\n- Do NOT make technical architecture decisions or suggest implementations\n- Do NOT add requirements the user did not express or imply\n- Do NOT modify any files in the repository\n- Do NOT touch issues with `backlog` label (unless they also have `in-refinement`, in which case `in-refinement` takes precedence)\n- Do NOT touch labels except removing `in-refinement` on completion\n- Do NOT post replies to the bot's own comments\n- Do NOT skip state detection (Step 5)\n- Always use `--retry 3` on `gh api` calls\n- Keep questions concise and targeted — no walls of text\n- Maximum 5 questions per round, maximum 3 rounds total\n","structuredPatch":[{"oldStart":199,"oldLines":6,"newStart":199,"newLines":8,"lines":[" - **Direct mode** (single issue): signal `<promise>BLOCKED:PERSISTENT: waiting for user response on #${ISSUE_NUMBER}</promise>` — the pipeline will re-trigger refine when the user replies via issue comment."," - **Scan mode**: move to next issue. 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{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_011cYWZPdhRY6iMFZdditZc1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AMxGpiooMwggFxJcyjHZ6F","name":"Write","input":{"file_path":"/home/agent/AgentSDE/tasks/production/AgentSDE/agent-core/gh-483/changes/pr_description.md","content":"# Fix PM skill auto-complete flakiness under `auto` directive\n\n## Problem\n\nThe `product-manager` skill intermittently signals `BLOCKED:PERSISTENT` for well-defined issues when running under the `auto` directive, blocking the pipeline unnecessarily.\n\n## Task / Link\n\nCloses #483\n\n## Changes\n\n- `SKILL.md` Step 6: adds directive-aware completeness gate — classifies issues as \"well-specified\" when `DIRECTIVE=auto` and both a problem statement and acceptance criteria are present; skips question-asking for those\n- `SKILL.md` Step 8: adds `DIRECTIVE=auto` branches — auto-complete path for well-specified issues, 1-round-max path for genuinely ambiguous issues, and explicit note never to signal `BLOCKED:PERSISTENT` for well-specified issues\n- `role.md`: adds Do rule to auto-complete well-specified issues under `auto` directive; adds Do Not rules prohibiting clarifying questions and `BLOCKED:PERSISTENT` signals for well-specified issues under `auto`\n\n## Notes\n\n- `careful` directive behavior is unchanged — existing question-asking logic (up to 3 rounds) is preserved\n- Genuinely ambiguous issues (empty body, no problem statement) still trigger questions even under `auto`, but capped at 1 round before forcing finalization\n- Prompt changes are non-deterministic; strong directive language (`MUST`, `NEVER`) is used to reduce flakiness\n\n## Testing\n\n- Verified modified prompt text confirms `auto` directive triggers auto-completion for well-specified issues\n- Verified `careful` directive path is unchanged\n- No TS/JS code modified — lint/test not applicable\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":140,"cache_read_input_tokens":32726,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":140},"output_tokens":69,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"835024e8-e657-4cbf-908a-aaaff901fe93","uuid":"6737b7e8-21f3-47ea-be0f-c3f105e1ee8b"}
{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AMxGpiooMwggFxJcyjHZ6F","type":"tool_result","content":"File created successfully at: /home/agent/AgentSDE/tasks/production/AgentSDE/agent-core/gh-483/changes/pr_description.md"}]},"parent_tool_use_id":null,"session_id":"835024e8-e657-4cbf-908a-aaaff901fe93","uuid":"2d3caa88-c84f-408c-9b29-ee7e69e6ec37","tool_use_result":{"type":"create","filePath":"/home/agent/AgentSDE/tasks/production/AgentSDE/agent-core/gh-483/changes/pr_description.md","content":"# Fix PM skill auto-complete flakiness under `auto` directive\n\n## Problem\n\nThe `product-manager` skill intermittently signals `BLOCKED:PERSISTENT` for well-defined issues when running under the `auto` directive, blocking the pipeline unnecessarily.\n\n## Task / Link\n\nCloses #483\n\n## Changes\n\n- `SKILL.md` Step 6: adds directive-aware completeness gate — classifies issues as \"well-specified\" when `DIRECTIVE=auto` and both a problem statement and acceptance criteria are present; skips question-asking for those\n- `SKILL.md` Step 8: adds `DIRECTIVE=auto` branches — auto-complete path for well-specified issues, 1-round-max path for genuinely ambiguous issues, and explicit note never to signal `BLOCKED:PERSISTENT` for well-specified issues\n- `role.md`: adds Do rule to auto-complete well-specified issues under `auto` directive; adds Do Not rules prohibiting clarifying questions and `BLOCKED:PERSISTENT` signals for well-specified issues under `auto`\n\n## Notes\n\n- `careful` directive behavior is unchanged — existing question-asking logic (up to 3 rounds) is preserved\n- Genuinely ambiguous issues (empty body, no problem statement) still trigger questions even under `auto`, but capped at 1 round before forcing finalization\n- Prompt changes are non-deterministic; strong directive language (`MUST`, `NEVER`) is used to reduce flakiness\n\n## Testing\n\n- Verified modified prompt text confirms `auto` directive triggers auto-completion for well-specified issues\n- Verified `careful` directive path is unchanged\n- No TS/JS code modified — lint/test not applicable\n","structuredPatch":[],"originalFile":null}}
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