meeting-summarizer

Solid

Transforms raw meeting notes, transcripts, or recordings text into a concise, scannable summary with clear sections for decisions made and owned action items (owner + due date). Use this skill when the user asks to "summarize this meeting", "turn these notes into a summary", "extract action items", "who agreed to what", "write meeting minutes", "TLDR this transcript", "pull decisions and next steps", or pastes a Zoom/Teams/Google Meet transcript and wants it condensed. Also applies to standups, 1:1s, planning sessions, retros, and client calls.

AI & Automation 3 stars 2 forks Updated today MIT

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Quality Score: 79/100

Stars 20%
20
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Meeting Summarizer ## Overview This skill converts messy meeting input (chat transcripts, dictated notes, bullet dumps, recording transcripts) into a structured, decision-oriented summary that a busy reader can absorb in under a minute. The output prioritizes the two things people actually need after a meeting: **what was decided** and **who owes what by when**. Keywords: meeting minutes, summary, recap, action items, decisions, owners, due dates, TLDR, standup, retro, 1:1, transcript, notes. The non-negotiable rule: **every action item must have an owner**. If the source does not name one, the action item is flagged as `OWNER: UNASSIGNED` rather than silently dropped or guessed. ## When To Use Use this skill whenever the user wants raw meeting content distilled. Triggers include pasting a transcript, asking for "minutes", "a recap", "key takeaways", "next steps", or "the TLDR". Do not use it for live note-taking guidance or scheduling — only for processing content that already exists. ## Process Follow these steps in order. 1. **Detect input type & length.** Identify whether the input is a verbatim transcript (timestamps, speaker labels), shorthand notes, or a mixed dump. Note the approximate length so you can size the summary. 2. **Identify metadata.** Pull (or infer where stated) the meeting title/topic, date, and attendees. Never invent a date — if absent, omit it or write `Date: not stated`. 3. **Extract the four content streams** by scanning the whole input...

Details

Author
JayRHa
Repository
JayRHa/AgentSkills
Created
1 months ago
Last Updated
today
Language
Python
License
MIT

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