Sprint Retrospective Facilitator

Run structured sprint retrospectives that produce real action items — not vague "we should communicate better" fluff.

3,891 stars

Best use case

Sprint Retrospective Facilitator is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Run structured sprint retrospectives that produce real action items — not vague "we should communicate better" fluff.

Run structured sprint retrospectives that produce real action items — not vague "we should communicate better" fluff.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "Sprint Retrospective Facilitator" skill to help with this workflow task. Context: Run structured sprint retrospectives that produce real action items — not vague "we should communicate better" fluff.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/afrexai-sprint-retro/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/1kalin/afrexai-sprint-retro/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/afrexai-sprint-retro/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Sprint Retrospective Facilitator Compares

Feature / AgentSprint Retrospective FacilitatorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Run structured sprint retrospectives that produce real action items — not vague "we should communicate better" fluff.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Sprint Retrospective Facilitator

Run structured sprint retrospectives that produce real action items — not vague "we should communicate better" fluff.

## What It Does

1. **Collects input** from the team across 4 categories: What went well, What didn't, What confused us, What should we try next
2. **Groups and prioritizes** themes by frequency and impact
3. **Generates action items** with owners, deadlines, and success criteria
4. **Produces a retro report** ready to share with stakeholders
5. **Tracks patterns** across sprints to surface recurring issues

## How to Use

Tell the agent:
- `Run a retrospective for Sprint 24` — starts the full facilitation flow
- `Quick retro: [paste team feedback]` — processes raw feedback into structured output
- `Compare last 3 retros` — finds recurring themes and stalled action items

## Frameworks Supported

- **Start/Stop/Continue** — classic, works for any team size
- **4Ls** — Liked, Learned, Lacked, Longed For
- **Mad/Sad/Glad** — emotional temperature check
- **Sailboat** — Wind (helps), Anchors (blockers), Rocks (risks), Island (goals)
- **DAKI** — Drop, Add, Keep, Improve

## Output Format

```markdown
# Sprint [N] Retrospective — [Date]

## Top Themes
1. [Theme] — mentioned by X people, impact: HIGH/MED/LOW

## Action Items
| # | Action | Owner | Due | Success Criteria |
|---|--------|-------|-----|------------------|
| 1 | ...    | ...   | ... | ...              |

## Patterns (vs. previous sprints)
- [Recurring issue] — appeared in 3/5 last retros
- [Improvement] — resolved since Sprint N-2
```

## Tips

- Run retros within 24 hours of sprint end while memory is fresh
- Limit to 3-5 action items per sprint — more than that and nothing gets done
- Assign every action item to ONE person (shared ownership = no ownership)
- Review previous retro actions at the start of each new retro

---

Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) — AI context packs for business teams. Browse all 10 industry packs at $47 each, or grab the full bundle for $197.

Related Skills

project-retrospective

3891
from openclaw/skills

自动项目复盘机制。当完成复杂项目后,自动提取最优路径生成skill,并记录踩坑经验到memory。

sprint-os

3891
from openclaw/skills

5-minute sprint operating system for AI agents. Autonomous execution cycles: ASSESS → PLAN → SCOPE → EXECUTE → MEASURE → ADAPT → LOG → NEXT. Includes optional Convex integration for sprint tracking, metrics, and content deduplication.

algernon-sprint

3891
from openclaw/skills

Timed interleaved study sprint for OpenAlgernon. Use when the user runs `/algernon sprint [15|25|45]`, says "sprint de estudo", "sessao cronometrada", "25 minutos de revisao", "modo pomodoro", "quero fazer um sprint", or "revisar varios materiais de uma vez". Cards from all installed materials are shuffled and interleaved. Ends with a post-sprint retrieval test to measure retention gain.

Sprint Planner

3891
from openclaw/skills

Plan, scope, and run agile sprints that actually ship. No ceremony bloat.

---

3891
from openclaw/skills

name: article-factory-wechat

Content & Documentation

humanizer

3891
from openclaw/skills

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Content & Documentation

find-skills

3891
from openclaw/skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

General Utilities

tavily-search

3891
from openclaw/skills

Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.

Data & Research

baidu-search

3891
from openclaw/skills

Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.

Data & Research

agent-autonomy-kit

3891
from openclaw/skills

Stop waiting for prompts. Keep working.

Workflow & Productivity

Meeting Prep

3891
from openclaw/skills

Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.

Workflow & Productivity

self-improvement

3891
from openclaw/skills

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Agent Intelligence & Learning