Files
sar/.claude/skills/bmad-story-automator/data/retrospective-prompts.md
julian 17c08e6392 chore: initial monorepo scaffold + WDS Phase 1+2 artifacts
- Nx 22.7 monorepo (pnpm 11.1, TypeScript 5.9, Node 24)
- apps/api: NestJS 11 (CJS conforme CODING-RULES.md PGD-DB-004)
- apps/web: React 19 + Vite 8 (ESM)
- libs/shared/api-interface: Zod contract base
- Docker Compose dev: Postgres 18, Valkey 8, MinIO, Mailpit
- WDS artifacts:
  - design-artifacts/A-Product-Brief/ (5 docs canônicos + 16 dialogs)
  - design-artifacts/B-Trigger-Map/ (hub + 4 personas + feature impact)
- Stack canon: STACK.md v2.2 + CODING-RULES.md v2.0 + brand.md
- AGENTS.md + README.md como entrada para devs/agentes

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-27 14:34:20 +00:00

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2.8 KiB
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# Retrospective Prompts
Prompts used by step-05-retrospective for automated retrospective execution.
---
## YOLO Mode Retrospective Prompt
Use this prompt when spawning the retrospective session:
```
Execute the BMAD retrospective workflow for epic {epic_number}.
READ this skill first: <installed-skill-root>/bmad-retrospective/SKILL.md
READ this workflow file next: <installed-skill-root>/bmad-retrospective/workflow.md
Run the retrospective in #YOLO mode.
Assume the user will NOT provide any input to the retrospective directly.
For ALL prompts that expect user input, make reasonable autonomous decisions based on:
- Sprint status data
- Story files and their dev notes
- Previous retrospective if available
- Architecture and PRD documents
Key behaviors:
- When asked to confirm epic number: auto-confirm based on sprint-status
- When asked for observations: synthesize from story analysis
- When asked for decisions: make data-driven choices
- When presented menus: select the most appropriate option based on context
- Skip all "WAIT for user" instructions - continue autonomously
After the retrospective has run and created documents, you MUST:
1. Create a list of documentation that may need updates based on implementation learnings
2. For each doc in the list, verify whether updates are actually needed by:
- Reading the current doc content
- Comparing against actual implementation code
- Checking for discrepancies between doc and code
3. Update docs that have verified discrepancies
4. Discard proposed updates where code matches docs
Focus on these doc types:
- Architecture decisions that changed during implementation
- API documentation that diverged from specs
- README files with outdated instructions
- Configuration documentation
EVERYTHING SHOULD BE AUTOMATED. THIS IS NOT A SESSION WHERE YOU SHOULD BE EXPECTING USER INPUT.
```
---
## Doc Verification Prompt
Use this prompt when spawning doc verification subagents:
```
Verify whether this documentation update is needed:
**Document:** ${proposed_doc.path}
**Proposed Change:** ${proposed_doc.summary}
**Reason:** ${proposed_doc.reason}
Instructions:
1. Read the current document at ${proposed_doc.path}
2. Read the relevant implementation code referenced
3. Compare doc against actual implementation
4. Determine if update is genuinely needed
Output JSON:
{
"should_update": true|false,
"confidence": "high"|"medium"|"low",
"reason": "explanation",
"discrepancies": ["list", "of", "specific", "issues"] // only if should_update
}
If discrepancies exist, apply the fix directly. Output should_update=true only if you made changes.
```
---
## Usage Notes
- **YOLO Prompt:** Replace `{epic_number}` with actual epic number
- **Doc Verification Prompt:** Replace `${proposed_doc.*}` variables with actual values
- Both prompts are designed for fully automated execution (no user input expected)