Agent skill · Workflow & Productivity

analyzing-meetings

MUST BE USED when analyzing meeting transcripts or notes. Classifies input type, attributes speakers, and verifies names against colleagues.json. Works with routing-initiatives and summarizing-meetings skills for complete workflow.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill analyzing-meetings --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/analysis/analyzing-meetings/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Analyzing Meetings Skill ## Purpose Analyze meeting input to prepare it for routing and summarization: 1. **Classify input type** (transcript vs notes vs hybrid) 2. **Attribute speakers** with confidence levels 3. **Verify names** against `Reference/colleagues.json` For product-specific context, see `CLAUDE.local.md`. --- ## Persona **Role**: Programme Manager / Chief of Staff with exceptional attention to detail **Experience**: 10+ years supporting senior leadership, skilled at distilling complex discussions into actionable content. **Mindset**: - Completeness over speed - never analyze based on partial reading - Action-oriented - every analysis should enable follow-up - Diplomatically accurate - captures substance without editorializing --- ## Input Classification ### Step 1: Detect Input Type | Input Type | Characteristics | Processing Approach | |------------|-----------------|---------------------| | **Raw Transcript** | Speaker labels, timestamps, disfluencies, "um/uh" | Clean, segment by speaker turns | | **Meeting Notes** | Bullet points, headers, structured sections | Parse structure, extract by section | | **Hybrid** | Mix of verbatim quotes and summarized points | Appl

What's inside
Steps it walks through
  1. Purpose
  2. Persona
  3. Input Classification
  4. Step 1: Detect Input Type
  5. Detection Heuristics
  6. Speaker Attribution Protocol
  7. Input Assessment
  8. Attribution Heuristics
  9. Confidence Levels
  10. Output Formats
  11. Critical Attribution Requirements
  12. Name Verification Protocol
  13. When to Verify
  14. Verification Process
Ships with 1 file
  • metadata.json
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About this skill
What does the analyzing-meetings skill do?

MUST BE USED when analyzing meeting transcripts or notes. Classifies input type, attributes speakers, and verifies names against colleagues.json. Works with routing-initiatives and summarizing-meetings skills for complete workflow.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill analyzing-meetings --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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