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📋 Meeting Summary
Turn a raw meeting transcript (.vtt, .srt, .txt, or pasted) into clean markdown meeting minutes: a task table with owners and due dates, the decisions actually made, open questions, and a skim-friendly summary. Separates real commitments from the 'we should probably' suggestions.
$5
· or 25 creditsSecure checkout via Stripe
About this skill
What it does
This skill transforms messy meeting transcripts—whether pasted directly or as file paths (.vtt, .srt, .txt)—into high-fidelity, structured markdown documentation. It goes beyond simple summarization by applying specific extraction logic to identify commitments, ownership, and project blocking questions.
Why use this skill
Prompting an AI yourself often leads to "hallucinated" action items or missed deadlines. This skill uses a specialized workflow to resolve speaker identities, extract relative due dates (e.g., "before the demo"), and differentiate between "suggestions" and factual "decisions." It saves developers and PMs from manual cleanup by formatting everything into specific, professional markdown sections including a structured task table.
Supported tools
- Direct text input from pasted transcripts.
- Local file parsing for .txt, .md, .vtt, and .srt formats.
- Compatible with Claude Code, Codex, and other terminal-based AI agents.
Output format
The output is a clean, standardized Markdown report featuring a "Decisions" list, a detailed "Action Items" table with assigned owners and dates, "Open Questions" for blockers, "Key Topics" for context, and "Next Meeting" logistics.
Details
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Security Scanned
Passed automated security review
Permissions
File Scopes
Meeting Summary reads pasted text directly in the conversation. File read access is optional — if user provides a file path to a transcript, the skill will read it. File write access is optional — user can ask to save the summary to a file. No terminal, network, or environment access required.
Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
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