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Meeting Briefing

Official
anthropics·vlatest·productivity·Apache-2.0

This skill generates a concise meeting briefing summarizing key discussion points and action items, boosting productivity and alignment.

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 anthropics/knowledge-work-plugins --skill meeting-briefing -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

anthropics

Matched to the vendor's own GitHub organisation.

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 anthropics/knowledge-work-plugins at da38ec1ee8.

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

Commit
da38ec1ee8
Manifest
legal/skills/meeting-briefing/SKILL.md
Scanned
1 file, 217 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

meeting-briefing

What it does

This skill enables AI agents to automatically generate concise summaries of meeting transcripts or recordings. It extracts key decisions, action items, and discussion points to save time on post-meeting administrative work.

When to use it

  • You need a quick recap after attending a long strategy session with multiple speakers.
  • Your team requires a standardized format for tracking action items from weekly stand-ups.
  • You want to ensure critical decisions made in client calls are accurately documented without manual transcription review.

Key capabilities

  • Summarizes raw meeting transcripts into structured briefs.
  • Identifies and lists specific action items assigned to individuals.
  • Highlights major decisions reached during the conversation.
  • Filters out filler words and redundant dialogue for clarity.

Example prompts

  • "Summarize this 45-minute product review meeting transcript, focusing on the three main decisions made."
  • "Extract all action items from the Q3 planning call and list them by assignee."
  • "Create a brief overview of the client feedback session, highlighting any concerns raised about the new feature."

Tips & gotchas

Ensure the input transcript is clean and free of excessive noise before processing for best results. This skill works best when paired with accurate speech-to-text tools that capture speaker names correctly.