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Capture

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sharpdeveye
capture

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

Overview

Publishersharpdeveye
Repositorymaestro
Skill namecapture
Stars
591
Forks
73
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by sharpdeveye on GitHub. Read the source before you install it.

Installation

Install the Capture AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/sharpdeveye/maestro/tree/main/source/skills/capture
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/sharpdeveye/maestro.git /tmp/maestro
mkdir -p .claude/skills
cp -r /tmp/maestro/source/skills/capture .claude/skills/capture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Capture in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Capture on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Capture is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

markdown
# 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

Frequently asked questions

What does the Capture AI skill do?

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

Why use Capture on TypingMind?

Because you install it once and use it with any model. Capture is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Capture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sharpdeveye/maestro/tree/main/source/skills/capture. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Capture?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Capture?

As many as you like. As long as a model supports skills, you can use Capture with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Capture AI skill free?

Yes. It is published on GitHub by sharpdeveye under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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