auto-research
Deep strategic research engine — decomposes questions into parallel research threads, spawns…
Process meeting recordings and notes into structured decisions, action items, and team dynamics with intelligent noise filtering
$ npx -y skills add huytieu/COG-second-brain --skill meeting-transcript --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/meeting-transcriptContext preview
The summary Claude sees to decide when to auto-load this skill.
Process meeting recordings and notes into structured decisions, action items, and team dynamics with intelligent noise filtering
name: meeting-transcript description: Process meeting recordings and notes into structured decisions, action items, and team dynamics with intelligent noise filtering roles: [product-manager, engineering-lead, founder, designer] integrations: []
**Check `agent_mode` in `00-inbox/MY-PROFILE.md` frontmatter:**
Extract strategic insights from meeting recordings and notes with intelligent content filtering to focus on substantive, actionable content while removing noise and irrelevant information.
**Use parallel agents to process different aspects of the transcript simultaneously.**
1. Receive transcript content from user 2. Detect content type (meeting vs braindump) and classify domain 3. Split transcript into logical sections for parallel processing
**Launch ALL agents in a single message using Task tool with `run_in_background: true`:**
Extract structured content from the meeting transcript. 1. Filter out side chats, technical difficulties, and irrelevant banter 2. Identify and extract: decisions made (with rationale), action items (with owners/deadlines), strategic themes 3. Capture key quotes and insights from participants 4. Note unresolved issues and follow-up needs Return: Decisions list, action items list, strategic themes, key quotes, unresolved issues.
Analyze team dynamics and meeting effectiveness. 1. Assess communication patterns and participation levels 2. Identify leadership moments and collaboration quality 3. Evaluate decision-making process effectiveness 4. Assess meeting efficiency (time well spent vs wasted) 5. Note any tensions, disagreements, or alignment issues Return: Team dynamics assessment, participation analysis, meeting effectiveness score.
Enrich meeting content with project/product context. 1. If project-related: read recent braindumps and notes for context 2. Check if discussed topics relate to known issues/PRs on GitHub 3. Connect decisions to existing strategic priorities 4. Identify competitive intelligence if competitors mentioned Return: Contextual connections, related documents, strategic alignment notes.
1. Collect results from all processing agents 2. Assemble structured meeting summary following Content Structure template 3. Add proper metadata (participants, duration, type, action item count) 4. Save to appropriate domain meeting folder 5. Flag urgent action items for immediate attention
--- type: meeting-transcript domain: [personal|professional|project-specific] project: [project-name] # Only for project-specific meetings date: YYYY-MM-DD created: YYYY-MM-DD HH:MM meeting_type: [1-on-1|team-meeting|strategic-planning|project-review|other] participants: [participant1, participant2, participant3] duration: [minutes] content_filtered: true accuracy_verified: [true|false|pending] action_items_count: [number] decisions_count: [number] tags: - meeting - transcript - domain-tag - project-tag status: [processed|needs-follow-up|action-required] ---
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