Skip to content
cccskills
FreePublished on GitHub

capture

Capture a session summary — what was done, what decisions were made, and what to do next.

The English summary is being prepared. Showing the original description.

sharpdeveye/maestro591 stars(GitHub 591 + cccskills 0)

Run score Not tested

See how to install

Files included (1)

  • SKILL.md2.6 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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:

  1. Commands run — which Maestro commands were invoked and in what order
  2. Decisions made — architectural choices, trade-offs accepted, patterns adopted
  3. Files changed — what was created, modified, or deleted
  4. Issues found — bugs, gaps, or risks identified
  5. 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

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.

The English summary is being prepared. Showing the original description.

sharpdeveye/maestro591Updated Apr 29, 2026

Use when porting a workflow to a different AI provider, deployment environment, model tier, or organizational context.

The English summary is being prepared. Showing the original description.

sharpdeveye/maestro591Updated Apr 29, 2026

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.

The English summary is being prepared. Showing the original description.

sharpdeveye/maestro591Updated Apr 29, 2026

Use when the workflow works but needs to handle more complex cases or produce higher-quality output through better tools, context, prompts, or models.

The English summary is being prepared. Showing the original description.

sharpdeveye/maestro591Updated Apr 29, 2026

Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.

The English summary is being prepared. Showing the original description.

sharpdeveye/maestro591Updated Apr 29, 2026

chain

Free

Use when the workflow needs multi-step processing with sequential, parallel, or conditional tool compositions and proper data flow.

The English summary is being prepared. Showing the original description.

sharpdeveye/maestro591Updated Apr 29, 2026

See all skills by sharpdeveye

Report a problem with this skill