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Meeting Insights Analyzer

Checked
zpankz·vlatest·productivity

Analyzes meeting transcripts to extract key decisions, action items, and sentiment, boosting productivity & clarity.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add zpankz/mcp-skillset --skill meeting-insights-analyzer -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

zpankz

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned zpankz/mcp-skillset at d9355d58c0.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
d9355d58c0
Manifest
meeting-insights-analyzer/SKILL.md
Scanned
1 file, 314 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The zpankz-meeting-insights-analyzer skill analyzes meeting transcripts to extract key insights. It can identify action items, summarize discussions, and highlight important decisions made during the meeting. This helps users quickly understand what was discussed and agreed upon without having to rewatch or reread lengthy recordings.

When to use it

  • Catching up on missed meetings: Quickly get a summary of a meeting you couldn't attend.
  • Reviewing long discussions: Condense hours of meeting content into actionable takeaways.
  • Identifying action items: Ensure all tasks assigned during the meeting are tracked and followed up on.
  • Improving meeting efficiency: Analyze past meetings to identify areas for improvement in future sessions.

Key capabilities

  • Action item extraction
  • Meeting summarization
  • Decision highlighting

Example prompts

  • "Analyze this meeting transcript and list all action items."
  • "Summarize the key discussion points from this meeting recording."
  • "What decisions were made during this meeting?"

Tips & gotchas

The skill requires a meeting transcript or recording as input. The accuracy of the analysis depends on the quality of the audio/text transcription.