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Minutes Recap

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silverstein
minutes-recap

Generate a daily digest of today's policy-authorized meetings and voice memos — key decisions, action items, and themes across available recordings. Use when the user asks "recap my day", "what happened in my meetings today", "daily summary", "what did I discuss today", "any action items from today", or wants a consolidated view of the day's conversations.

Overview

Publishersilverstein
Repositoryminutes
Skill nameminutes-recap
Stars
1.5K
Forks
163
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 silverstein on GitHub. Read the source before you install it.

Installation

Install the Minutes 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.
  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/silverstein/minutes.git /tmp/minutes
mkdir -p .claude/skills
cp -r /tmp/minutes/tooling/skills/goldens/claude/minutes-recap .claude/skills/minutes-recap
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Minutes 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 Minutes 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 Minutes 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.

/minutes-recap

Synthesize today's policy-authorized normal meetings and voice memos into a single daily brief. Restricted history is excluded from this agent workflow by default and must never be treated as absent evidence.

How to generate the recap

  1. Find today's recordings from the bounded live list:

    bash
    minutes list --limit 50

    Require exit status 0, parse the JSON written to stdout, and select entries whose date is today. A date string is not a search query.

  2. Read each selected recording with minutes get "<exact path>" --json. Require exit status 0 and use only the returned content. Never reopen list paths through the host filesystem.

  3. Synthesize into a daily brief — use the template in templates/daily-recap.md as a starting point, adapting sections based on what actually exists in the day's recordings.

  4. Present the recap directly in the conversation — don't save it to a file unless asked.

What makes a good recap

  • Cross-reference across meetings: if pricing came up in two different calls, note that
  • Surface conflicts: if Meeting A decided X but Meeting B discussed doing Y, flag it
  • Prioritize action items: these are the things the user needs to act on
  • Include voice memos: ideas captured on the go are easy to forget — surface them
  • If there are no meetings or memos today, say so clearly rather than making something up

Interactive conflict detection

When you find conflicts between meetings (e.g., different decisions on the same topic, contradictory action items, or shifted priorities), don't just note them — ask the user about them.

Use AskUserQuestion: "I found a conflict between your meetings today: [Meeting A] decided [X], but [Meeting B] discussed doing [Y]. Which one is current?"

Options should include:

  • The decision from Meeting A
  • The decision from Meeting B
  • "Neither — it's still unresolved"
  • "Both are valid in different contexts"

This turns the recap from a passive report into an active reconciliation tool. Surface at most 2-3 conflicts per recap to avoid fatigue.

Gotchas

  • No recordings today ≠ an error — If there are no meetings or memos for today, say "No recordings found for today" and offer to search a different date range. Don't hallucinate a recap.
  • Voice memos are easy to miss — They live in ~/meetings/memos/, not the main ~/meetings/ directory. The search command includes both, but double-check if the user says "I recorded a voice memo today" and you don't see it.
  • Meetings without LLM summarization have less structure — If a meeting file only has a raw transcript (no Summary, Decisions, or Action Items sections), you'll need to extract insights yourself from the transcript text. Check the YAML frontmatter for action_items: and decisions: fields.
  • Cross-day meetings — A meeting that started at 11 PM and ended at 1 AM will be dated by its start time. If the user asks "what happened today" and is missing a late-night meeting, check yesterday's date too.

Frequently asked questions

What does the Minutes Recap AI skill do?

Generate a daily digest of today's policy-authorized meetings and voice memos — key decisions, action items, and themes across available recordings. Use when the user asks "recap my day", "what happened in my meetings today", "daily summary", "what did I discuss today", "any action items from today", or wants a consolidated view of the day's conversations.

Why use Minutes Recap on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/silverstein/minutes/tree/main/tooling/skills/goldens/claude/minutes-recap. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Minutes 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 Minutes Recap?

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

Is the Minutes Recap AI skill free?

Yes. It is published on GitHub by silverstein 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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