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cog-meeting-processing skill

by a5c-ai·a5c-ai/babysitter·1.8k stars·MIT

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

A100/100content scan

Is the cog-meeting-processing skill safe?

Clean: nothing in its files matched our rules. We read 2 files in the folder on 2026-09-28.

No findings.

Install the cog-meeting-processing skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.

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
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

  • 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

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

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