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Cog Meeting Processing

OrganizationPopular
a5c-ai
cog-meeting-processing

Process meeting recordings and transcripts into decisions, action items, and team dynamics

Overview

Publishera5c-ai
Repositorybabysitter
Skill namecog-meeting-processing
Stars
1.8K
Forks
106
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 a5c-ai on GitHub. Read the source before you install it.

Installation

Install the Cog Meeting Processing 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/a5c-ai/babysitter.git /tmp/babysitter
mkdir -p .claude/skills
cp -r /tmp/babysitter/library/methodologies/cog-second-brain/skills/meeting-processing .claude/skills/cog-meeting-processing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cog Meeting Processing 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 Cog Meeting Processing 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 Cog Meeting Processing 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.

  • Extract decisions with context, rationale, and stakeholders
  • Identify action items with owners, priorities, and deadlines
  • Analyze team dynamics: engagement, alignment, collaboration quality
  • Generate executive meeting summaries
  • Segment transcripts into topics and discussion threads
  • Route meeting artifacts to vault with project cross-references

Tool Use Instructions

  1. Use file-read to load the meeting transcript or recording
  2. Parse transcript and identify speakers against participant list
  3. Segment into topics and discussion threads
  4. Extract decisions with context and rationale
  5. Extract action items with owners and deadlines
  6. Analyze team dynamics (engagement, alignment, disagreements)
  7. Use file-write to create meeting notes in 03-professional
  8. Use file-search to find related projects for cross-referencing
  9. Use git-commit to commit meeting artifacts

Examples

json
{
  "vaultPath": "./cog-vault",
  "captureType": "meeting-transcript",
  "transcriptPath": "./meeting-2026-03-02.txt",
  "meetingTitle": "Sprint Planning Q1 W9",
  "participants": ["Alex", "Jordan", "Sam"]
}

Frequently asked questions

What does the Cog Meeting Processing AI skill do?

Process meeting recordings and transcripts into decisions, action items, and team dynamics

Why use Cog Meeting Processing on TypingMind?

Because you install it once and use it with any model. Cog Meeting Processing 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 Cog Meeting Processing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/cog-second-brain/skills/meeting-processing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cog Meeting Processing?

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 Cog Meeting Processing?

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

Is the Cog Meeting Processing AI skill free?

Yes. It is published on GitHub by a5c-ai 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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