Recap logo

Recap

Community
sharpdeveye
recap

Quick summary of the last session — commands run, files changed, and what to do next.

Overview

Publishersharpdeveye
Repositorymaestro
Skill namerecap
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 Recap 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/recap
  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/recap .claude/skills/recap
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Recap 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 Recap 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 Recap 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.


Get back up to speed fast. Recap reads the most recent session file and recent decisions to tell you where you left off and what to do next.

Data Sources

  1. .maestro/sessions/ — read the most recent session file (by filename date)
  2. .maestro/decisions.jsonl — read the last 5 decisions

If no session files exist, read the last 10 decisions and summarize those instead.

If no data exists at all, respond: "No session history found. Run /capture at the end of your next session to start tracking."

Output Format

text
┌─────────────────────────────────────┐
│         LAST SESSION RECAP          │
├─────────────────────────────────────┤
│ Date: YYYY-MM-DD                    │
│ Commands: /diagnose → /fortify (2)  │
│ Files: 3 changed, 1 created        │
│ Outcome: Completed                  │
├─────────────────────────────────────┤
│ PICK UP HERE:                       │
│ 1. Run /guard — rate limiting       │
│ 2. Run /evaluate — adversarial tests│
└─────────────────────────────────────┘

Recap Rules

  • Be concise — this is a 30-second read, not a report
  • Lead with the "PICK UP HERE" section — that's what the user needs
  • If the session ended with open issues, highlight them
  • Reference specific files and commands, not vague summaries

Recap Checklist

  • Most recent session identified
  • Commands and outcomes summarized in one line each
  • "Pick up here" section has specific, actionable next steps
  • Open issues from last session surfaced

Recommended Next Step

After recapping, run the first command listed in "Pick Up Here" to continue where you left off.

NEVER:

  • Dump the entire session file — summarize it
  • Recap without checking decisions.jsonl for recent activity
  • Give vague next steps ("continue working") — be specific
  • Assume context from the current conversation — only use persisted data

Frequently asked questions

What does the Recap AI skill do?

Quick summary of the last session — commands run, files changed, and what to do next.

Why use Recap on TypingMind?

Because you install it once and use it with any model. Recap 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 Recap in TypingMind?

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

Which AI models can use Recap?

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 Recap?

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

Is the Recap 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇