meeting

Summarize queued meeting transcripts into structured narratives with decisions and action items.

5|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/dcurlewis/ai-context-system --skill meeting-dcurlewis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: meeting
Source: https://github.com/dcurlewis/ai-context-system/tree/main/.claude/skills/meeting
Command: npx skills add https://github.com/dcurlewis/ai-context-system --skill meeting-dcurlewis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Capturing meeting knowledge from raw transcripts takes time and often misses substance, especially when minutes are written manually without context. This Skill automates queue processing, meeting type assessment, template selection, and storage so today's decisions become tomorrow's organized context.

Core Features & Use Cases

  • Queue-driven summaries: Always process the oldest transcript in Raw-Materials/Meeting-Transcripts/, count participants, and assess duration before writing the summary.
  • Template and context intelligence: Choose Minimal, Standard, or Full templates according to the substance level, scan recent Curated-Context/Meeting-Insights/ files for relevant cross-references, and keep reporting balanced and non-redundant.
  • Knowledge upkeep: Archive processed transcripts, update entity stubs with confirmed facts, and store the resulting summary in Curated-Context/Meeting-Insights/YYYYMM/ so it feeds morning journals and memory updates when decisions emerge. Use Case: Drop a weekly leadership sync transcript into Raw-Materials and let the Skill capture the decisions, action items, and refreshed entity facts without manual editing.

Quick Start

Use the meeting skill to process the oldest transcript in Raw-Materials/Meeting-Transcripts/ so it outputs a context-rich summary.

Frequently Asked Questions about meeting

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I summarize meeting transcripts automatically?

To summarize meeting transcripts automatically, place the raw transcript files into Raw-Materials/Meeting-Transcripts/. The system processes the oldest queued file, assesses duration and participant count, and outputs a structured narrative capturing decisions and action items to Curated-Context/Meeting-Insights/.

What is the best way to extract action items and decisions from raw meeting minutes?

Extracting action items and decisions from meeting minutes is handled by selecting minimal, standard, or full templates based on substance. The process scans recent context files for cross-references, archives the original transcript, and writes a balanced summary to prevent redundancy.

Can I process multiple meeting transcripts at the same time?

Processing multiple meeting transcripts simultaneously is not supported. The system strictly targets the oldest file in the queue directory to ensure sequential processing, assesses its metadata, writes the structured summary, and archives the original before moving to the next.

Does this meeting summarization tool support cross-referencing previous context?

Meeting summarization supports cross-referencing by scanning recent files in Curated-Context/Meeting-Insights/ before writing. This ensures new summaries incorporate confirmed facts, update entity stubs, and connect current decisions to existing knowledge without redundancy.

When do I need a full template versus a minimal template for meeting summaries?

A full template for meeting summaries is needed when the transcript contains high substance requiring detailed context. The system automatically selects minimal, standard, or full templates by assessing duration, participant count, and content depth before generating the structured narrative.

How are processed meeting transcripts archived and stored?

Processed meeting transcripts are archived after summarization to prevent reprocessing. The resulting structured summary is stored in Curated-Context/Meeting-Insights/YYYYMM/ organized by year and month, feeding into morning journals and memory updates when decisions emerge.