Meeting Synthesizer

🌐Community
by rysweet · vlatest · Repository

This tool automatically summarizes meeting discussions into concise notes, saving you time and ensuring key takeaways are captured effectively.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add meeting-synthesizer npx -- -y @trustedskills/meeting-synthesizer
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "meeting-synthesizer": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/meeting-synthesizer"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The meeting-synthesizer skill processes raw meeting transcripts to generate structured summaries, extract key action items, and identify specific participants involved in discussions. It transforms unstructured audio or text logs into concise, readable reports that highlight decisions and next steps.

When to use it

  • You need a quick recap of a long conference call without re-listening to the entire recording.
  • You want to automatically track who is assigned which tasks after a project kickoff meeting.
  • You require a formal record of client discussions for internal documentation or billing purposes.
  • You are managing multiple team meetings and need consistent, standardized notes across different sessions.

Key capabilities

  • Generates high-level summaries of meeting content.
  • Extracts and lists specific action items with owners.
  • Identifies and names all participants in the conversation.
  • Converts raw transcript data into organized text formats.

Example prompts

  • "Summarize this 2-hour engineering standup transcript and list all unresolved blockers."
  • "Extract every decision made during today's client review and who approved them."
  • "Create a bulleted summary of the product roadmap discussion, highlighting new feature requests."

Tips & gotchas

Ensure your input transcripts are clear and free of excessive background noise or overlapping speech for best accuracy. The skill relies on the quality of the source text; if the original transcription is poor, the synthesized output may miss nuances or misidentify speakers.

Tags

🛡️

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Details

Version
vlatest
License
Author
rysweet
Installs
60

🌐 Community

Passed automated security scans.