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    Meeting Summary

    Meeting Summary

    by JustHandled Labs

    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.

    Updated Jun 2026
    Security scanned

    $5

    · or 25 credits

    30-day refund guarantee

    Secure checkout via Stripe

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    Included in download

    • Extract a clean action item table with owners and due dates from raw VTT files
    • Identify hard decisions and committed outcomes from sales call recordings
    • file_read, file_write automation included
    • Includes example output and usage patterns
    • Instant install

    Sample input

    Summarize the notes from our sync. Extract the action items into a table and list any decisions made. Use the file at ./meeting-transcripts/dev-sync.txt

    Sample output

    Action Items

    | What | Who | Due Date | |---|---|---| | Send revised API docs | Sarah | Friday | | Provision staging DB | Not specified | Before the demo |

    Decisions

    • Switched to PostgreSQL for the analytics service.
    • Approved the UI mockups for the dashboard.

    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.

    Use Cases

    • Extract a clean action item table with owners and due dates from raw VTT files
    • Identify hard decisions and committed outcomes from sales call recordings
    • Catalog open questions and blockers that require follow-up after a standup
    • Generate professional meeting minutes from speaker-labeled transcriptions

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    Security Scanned

    Passed automated security review

    Permissions

    Read Files
    Write Files

    File Scopes

    *.txt
    *.md
    *.vtt
    *.json

    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.

    Tags

    productivity
    meeting-notes
    markdown
    project-management
    transcription

    Works with Claude Code and Codex. No API keys required. No external dependencies.

    Creator

    JustHandled Labs

    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.

    Frequently Asked Questions

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