cog-meeting-processing
npx machina-cli add skill a5c-ai/babysitter/meeting-processing --openclawCOG Meeting Processing Skill
Process meeting recordings and transcripts into structured outputs: decisions, action items, team dynamics analysis, and executive summaries.
Capabilities
- Parse meeting transcripts and identify speakers
- 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
- Use
file-readto load the meeting transcript or recording - Parse transcript and identify speakers against participant list
- Segment into topics and discussion threads
- Extract decisions with context and rationale
- Extract action items with owners and deadlines
- Analyze team dynamics (engagement, alignment, disagreements)
- Use
file-writeto create meeting notes in 03-professional - Use
file-searchto find related projects for cross-referencing - Use
git-committo 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"]
}
Source
git clone https://github.com/a5c-ai/babysitter/blob/main/plugins/babysitter/skills/babysit/process/methodologies/cog-second-brain/skills/meeting-processing/SKILL.mdView on GitHub Overview
Cog Meeting Processing converts meeting transcripts and recordings into structured outputs: decisions with context, actionable items with owners and deadlines, and analysis of team dynamics. It also generates executive summaries, topics segmentation, and cross-reference-ready vault artifacts to enable auditability and scalable collaboration.
How This Skill Works
The skill loads transcripts with file-read, identifies speakers, and segments content into topics. It then extracts decisions with rationale and actions with owners and deadlines, analyzes engagement and alignment, and produces an executive summary. Outputs are written to the 03-professional vault and can be located via file-search, then committed via git-commit for traceability.
When to Use It
- During sprint planning or stand-up meetings to capture decisions, owners, and deadlines.
- In cross-functional review sessions to ensure alignment and identify action items.
- For stakeholder product reviews requiring a concise executive summary and decisions log.
- At project kickoffs or roadmapping sessions to create cross-referenceable artifacts.
- After any meeting to perform a quick dynamics analysis (engagement, disagreements, collaboration).
Quick Start
- Step 1: Load the transcript with file-read and confirm the participant list.
- Step 2: Segment into topics and extract decisions with rationale and actions with owners.
- Step 3: Write notes to the 03-professional vault and git-commit the artifacts.
Best Practices
- Maintain an accurate participant list and clearly attribute speakers.
- Capture decisions with explicit rationale and notified stakeholders.
- Assign action items with owners, priorities, and realistic deadlines.
- Segment transcripts by topic to preserve discussion threads and decisions.
- Route outputs to the vault with cross-references to related projects and versions.
Example Use Cases
- Decision: Release v2.3 on 2026-03-20; Rationale: customer demand; Stakeholders: Product, Eng, QA.
- Action Item: Create onboarding doc; Owner: Sam; Deadline: 2026-03-15; Priority: High.
- Executive Summary: Key decisions, risks, and next steps highlighted for leadership.
- Topic Segment: [Sprint Planning], [Risk Assessment], [Next Steps] with threaded discussions.
- Dynamics Analysis: Engagement high in design; alignment gaps noted with backend team.
