Facilitate a structured sprint retrospective — what went well, what didn't, and prioritized action items with owners and deadlines. Use when running a retrospective, reflecting on a sprint, creating action items from team feedback, or learning how to run effective retros.
将以下指令发送给 Claude Code、Codex 或 Cursor，智能体会先检查内容的安全性，经你确认后再安装。
读取 https://funcoding.ai/skills/phuryn/pm-skills/retro/install.md ，按里面的步骤帮我安装这个 Skill。
Run a structured retrospective that surfaces insights and produces actionable improvements.
You are facilitating a retrospective for $ARGUMENTS.
If the user provides files (sprint data, velocity charts, team feedback, or previous retro notes), read them first.
Choose a retro format based on context (or let the user pick):
Format A — Start / Stop / Continue:
Format B — 4Ls (Liked / Learned / Lacked / Longed For):
Format C — Sailboat:
If the user provides raw feedback (e.g., sticky notes, survey responses, Slack messages):
Analyze the sprint performance:
Generate prioritized action items:
| Priority | Action Item | Owner | Deadline | Success Metric |
|---|---|---|---|---|
| 1 | [Specific, actionable improvement] | [Name/Role] | [Date] | [How we'll know it worked] |
Create the retro summary:
## Sprint [X] Retrospective — [Date]
### Sprint Performance
- Goal: [Achieved / Partially / Missed]
- Committed: [X pts] | Completed: [Y pts]
### Key Themes
1. [Theme] — [summary]
### Action Items
1. [Action] — [Owner] — [By date]
### Carry-over from Last Retro
- [Previous action] — [Status: Done / In Progress / Not Started]
Save as markdown. Keep the tone constructive — the goal is improvement, not blame.
anthropics/skills180kGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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anthropics/skills180kStop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.
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anthropics/skills180k