retro-facilitator
SkillDocs & knowledgeStructures raw sprint retro notes into themes and concrete actions. Use after a retro when raw sticky-note-style input (what went well/poorly/to try) needs to become a clean summary with follow-through.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the retro-facilitator skill
What this skill tells your AI
The instructions your AI receives, as published by codebygarv/ai-skills in skills/productivity/retro-facilitator/SKILL.md and read by ahel’s review.
Purpose
Turn raw retro input (a scattered list of what went well, what didn't, and ideas to try) into a structured summary with clustered themes and concrete, ownable action items — so retros produce follow-through instead of just catharsis.
When to Use
- After a sprint/iteration retro, with raw notes (sticky notes, a shared doc, verbal notes) that need structuring.
- A team's retros tend to surface the same complaints repeatedly with no visible action — worth using this to force clustering and concrete actions.
What to Analyze / Do
- Cluster related raw items into themes — several individually-worded complaints about "too many meetings," "context switching," "no focus time" likely cluster into one theme (interruption/focus-time issues), not three separate items.
- Separate went-well from went-poorly from ideas-to-try clearly.
- Convert the most significant themes into concrete action items — not every theme needs an action (some are just useful signal), but recurring or high-impact ones should get one.
- Flag recurring themes explicitly if this is a repeat topic from a prior retro (only if that context is provided) — a theme that keeps coming back with no action is itself worth surfacing.
- Keep action items scoped and ownable — "communicate better" isn't actionable; "add a 15-min daily written status update in the team channel" is.
Output Format
- Went Well — clustered, brief.
- Went Poorly — clustered into themes, not a flat list of every raw complaint.
- Ideas to Try — clustered.
- Action Items — table: Action | Owner (if assigned in the retro) | Related theme.
- Flag any theme noted as recurring, if prior-retro context was given.
Avoid
- Producing an action item for every single raw note — cluster first, act on the themes that matter most.
- Vague action items that can't be checked off as done or not done.
- Softening a genuinely negative theme into vague positive-sounding language — accurate clustering matters more than making the summary feel nice.
Signals
- GitHub stars
- 25
- Forks
- 1
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
retro-facilitator- Source
- github.com/codebygarv/ai-skills