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Retrospective Facilitation

Checked
aj-geddes·vlatest·productivity·MIT

This skill guides productive retrospectives by prompting reflection and identifying actionable improvements for teams to optimize their processes.

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 aj-geddes/useful-ai-prompts --skill retrospective-facilitation -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Scanned
6 files, 474 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

This skill enables AI agents to lead structured team retrospectives by guiding discussions on what went well, what needs improvement, and how to act on feedback. It helps facilitate productive meetings that focus on continuous process improvement rather than just listing problems.

When to use it

  • Running a post-project review to analyze team performance and identify bottlenecks.
  • Facilitating a sprint retrospective in an Agile environment to adjust workflows.
  • Organizing a monthly team check-in to discuss collaboration dynamics and morale.
  • Guiding a remote meeting where visual aids or structured templates are needed to keep focus.

Key capabilities

  • Guides teams through standard retrospective formats like Start/Stop/Continue.
  • Encourages balanced participation by prompting quieter members to share insights.
  • Synthesizes discussion points into actionable improvement items.
  • Maintains a neutral, facilitative tone to ensure objective analysis.

Example prompts

  • "Act as a facilitator and guide us through a retrospective using the Start/Stop/Continue method."
  • "Help me summarize our team's feedback from this week's stand-up into a structured retrospective report."
  • "Lead a discussion on how we can improve our code review process based on recent friction points."

Tips & gotchas

Ensure you have access to a real-time chat interface or meeting tool where all participants can contribute. This skill works best when the AI has context about the team's recent work; providing specific project details beforehand will yield more relevant insights.