capture
MANDATORY PREPARATION
Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first.
Capture the current session's work into a persistent summary. This creates a record that survives session boundaries — future commands can reference what happened here.
What to Capture
Read the conversation history and identify:
- Commands run — which Maestro commands were invoked and in what order
- Decisions made — architectural choices, trade-offs accepted, patterns adopted
- Files changed — what was created, modified, or deleted
- Issues found — bugs, gaps, or risks identified
- Next steps — what should happen next (be specific)
Output Format
Generate a session summary file at .maestro/sessions/{date}_{topic}.md:
# Session: {topic}
Date: {YYYY-MM-DD}
## Commands Run
- /diagnose → Score: 18/25
- /fortify → Added retry logic to API handlers
- /evaluate → Verified with 3 test scenarios
## Decisions
- Chose retry-with-backoff over circuit breaker (simpler, sufficient for current load)
- Kept synchronous error handling (async not justified yet)
## Files Changed
- `src/api/handler.ts` — added retry wrapper
- `src/middleware/auth.ts` — added input validation
- `tests/api.test.ts` — new test file
## Open Issues
- Rate limiting not yet implemented (deferred to next session)
## Next Steps
1. Run `/guard` to add rate limiting
2. Run `/evaluate` with adversarial test cases
Also append a decision entry to .maestro/decisions.jsonl recording this capture.
Session Capture Checklist
- All commands from this session listed
- Key decisions documented with rationale
- Files changed listed with brief descriptions
- Open issues captured (nothing lost)
- Next steps are specific and actionable
- Summary saved to
.maestro/sessions/
Recommended Next Step
After capturing, your next session should start with /recap to restore context, then proceed with the next steps listed above.
NEVER:
- Store raw prompts or full LLM outputs in the session file
- Overwrite an existing session file — create a new one
- Skip the "Next Steps" section — this is what makes capture valuable
- Capture without reading the conversation history first
- Auto-capture without the user invoking this command
More from sharpdeveye/maestro
agent-workflow
Use when any Maestro command is invoked — provides foundational workflow design principles across prompt engineering, context management, tool orchestration, agent architecture, feedback loops, knowledge systems, and guardrails.
134diagnose
Use when the user wants to find problems, audit workflow quality, or get a comprehensive health check on their AI workflow.
132evaluate
Use when the user wants a quality review, interaction audit, or to test the workflow against realistic scenarios.
131calibrate
Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.
126fortify
Use when the workflow lacks error handling, has been failing in production, or needs retry logic, fallback strategies, and circuit breakers.
126streamline
Use when the workflow feels too complex, has accumulated cruft, or has redundant steps and overlapping tools that need consolidation.
126