agentleFS
Sign inStart free
hamzafarooqhamzafarooq/claude-code-starter/.claude/skills/meeting-analyzer/SKILL.md

meeting-analyzer

Skill145 starsChanged 6 months agoMITView on GitHub

Extract action items, decisions, risks, and open questions from raw meeting notes or transcripts. Use when the user pastes meeting notes or asks what came out of a meeting.

We split this skill into the rules it gives an agent

2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 6 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Ask the user to paste their meeting notes or transcript.

    line 6
  2. Distinctive:

    Keep the action items actionable: verb + object + owner.

    line 37

“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Ask the user to paste their meeting notes or transcript.

Then return:

Meeting Analysis

Meeting type: [standup / planning / design review / 1:1 / exec review / other] Date: [if mentioned] Attendees: [if mentioned]

Decisions Made

Bullet list of things that were agreed or resolved. Flag HIGH CONFIDENCE vs TENTATIVE.

Action Items

OwnerTaskDue date
[name or "unassigned"][specific action][date or "not set"]

Open Questions

Things raised but not resolved. These need a follow-up owner.

Risks & Blockers

Anything that could slow progress. One sentence each.

What Was Left Unsaid

One observation about what the notes suggest but no one said directly — a tension, an assumption, or a decision that needs to be made but wasn't.

Keep the action items actionable: verb + object + owner. If the notes are vague, flag it rather than fabricate specificity.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free