retrospective-facilitator
Generate retrospective formats and analyze improvement actions
npx skills add a5c-ai/babysitter --skill retrospective-facilitator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Retrospective Facilitator ## Overview The Retrospective Facilitator skill supports Agile teams in conducting effective sprint retrospectives. It provides diverse retrospective formats, facilitates feedback collection, tracks improvement actions, and analyzes patterns across retrospectives to drive continuous team improvement. ## Capabilities ### Retrospective Formats - Generate retrospective agenda templates (Starfish, 4Ls, Sailboat, Mad/Sad/Glad) - Provide format variations for team freshness - Support remote and in-person formats - Create icebreaker activities - Suggest formats based on team context ### Feedback Collection - Create anonymous feedback collection mechanisms - Structure feedback by category - Enable dot voting and prioritization - Facilitate discussion prompts - Capture verbatim team input ### Action Management - Categorize and prioritize improvement items - Track action item completion across sprints - Assign owners and due dates - Follow up on outstanding actions - Calculate action completion rates ### Analysis and Insights - Generate retrospective summary reports - Analyze patterns across multiple retrospectives - Calculate team improvement velocity - Identify
- Overview
- Capabilities
- Retrospective Formats
- Feedback Collection
- Action Management
- Analysis and Insights
- Usage
- Input Requirements
- Output Deliverables
- Example Use Cases
- Process Integration
- Dependencies
- Related Skills
What does the retrospective-facilitator skill do?
Generate retrospective formats and analyze improvement actions
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill retrospective-facilitator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.