搜索

PythonReactSEOPDF
OpenClaw

Afrexai Sprint Retro

Sprint Retrospective Facilitator

1kalin0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install 1kalin/afrexai-sprint-retro

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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

# 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 — AI context packs for business teams. Browse all 10 industry packs...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-sprint-retro
Version
—
Commit
ec69507d7202ea7641b50859db5d64aed6b423f8
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

README

Sprint Retrospective Facilitator

Run structured sprint retrospectives that produce real action items — not vague commitments nobody follows up on.

Supports 5 frameworks (Start/Stop/Continue, 4Ls, Mad/Sad/Glad, Sailboat, DAKI), tracks patterns across sprints, and generates reports with owned action items.

Quick Start

Install via ClawHub, then tell your agent:

  • Run a retrospective for Sprint 24
  • Quick retro: [paste feedback]
  • Compare last 3 retros

Why This Exists

Most retros produce a wall of sticky notes and zero follow-through. This skill forces structured output: every action item gets an owner, a deadline, and success criteria. It also compares across sprints so recurring problems can't hide.

Who It's For

Engineering leads, scrum masters, product managers, agency teams — anyone running sprints who's tired of retros that don't change anything.


More tools for business teams: AfrexAI Context Packs — 10 industry-specific AI agent configurations ($47 each). Calculate what AI automation saves your team: AI Revenue Calculator.

来源内容

SKILL.md
# 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...
README
# Sprint Retrospective Facilitator

Run structured sprint retrospectives that produce real action items — not vague commitments nobody follows up on.

Supports 5 frameworks (Start/Stop/Continue, 4Ls, Mad/Sad/Glad, Sailboat, DAKI), tracks patterns across sprints, and generates reports with owned action items.

## Quick Start

Install via ClawHub, then tell your agent:
- `Run a retrospective for Sprint 24`
- `Quick retro: [paste feedback]`
- `Compare last 3 retros`

## Why This Exists

Most retros produce a wall of sticky notes and zero follow-through. This skill forces structured output: every action item gets an owner, a deadline, and success criteria. It also compares across sprints so recurring problems can't hide.

## Who It's For

Engineering leads, scrum masters, product managers, agency teams — anyone running sprints who's tired of retros that don't change anything.

---

**More tools for business teams:** [AfrexAI Context Packs](https://afrexai-cto.github.io/context-packs/) — 10 industry-specific AI agent configurations ($47 each). Calculate what AI automation saves your team: [AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/).

相关技能

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...

OpenClaw

geo-optimization

capt-marbles

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...

OpenClaw

0protocol

0isone

Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.

OpenClaw

0x0-messenger

eijiac24

Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.