Retro

CommunityPopular

phuryn

retro

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.

Overview

Publisher	phuryn
Repository	`pm-skills`
Skill name	`retro`
Stars	26.4K
Forks	2.8K
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by phuryn on GitHub. Read the source before you install it.

Installation

Install the Retro AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/phuryn/pm-skills.git /tmp/pm-skills
mkdir -p .claude/skills
cp -r /tmp/pm-skills/pm-execution/skills/retro .claude/skills/retro

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Retro in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Retro on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Retro is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Sprint Retrospective Facilitator

Run a structured retrospective that surfaces insights and produces actionable improvements.

Context

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.

Instructions

Choose a retro format based on context (or let the user pick):

Format A — Start / Stop / Continue:
- Start: What should we begin doing?
- Stop: What should we stop doing?
- Continue: What's working well that we should keep?
Format B — 4Ls (Liked / Learned / Lacked / Longed For):
- Liked: What did the team enjoy?
- Learned: What new knowledge was gained?
- Lacked: What was missing?
- Longed For: What do we wish we had?
Format C — Sailboat:
- Wind (propels us): What's driving us forward?
- Anchor (holds us back): What's slowing us down?
- Rocks (risks): What dangers lie ahead?
- Island (goal): Where are we trying to get to?
If the user provides raw feedback (e.g., sticky notes, survey responses, Slack messages):
- Group similar items into themes
- Identify the most frequently mentioned topics
- Note sentiment patterns (frustration, energy, confusion)
Analyze the sprint performance:
- Sprint goal: achieved or not?
- Velocity vs. commitment (over-committed? under-committed?)
- Blockers encountered and how they were resolved
- Collaboration patterns (what worked, what didn't)
Generate prioritized action items:

Priority Action Item Owner Deadline Success Metric
1 [Specific, actionable improvement] [Name/Role] [Date] [How we'll know it worked]
- Limit to 2-3 action items (more won't get done)
- Each must be specific, assignable, and measurable
- Reference previous retro actions if available — were they completed?

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.

Frequently asked questions

What does the Retro AI skill do?

Why use Retro on TypingMind?

Because you install it once and use it with any model. Retro is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Retro in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/phuryn/pm-skills/tree/main/pm-execution/skills/retro. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Retro?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Retro?

As many as you like. As long as a model supports skills, you can use Retro with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Retro AI skill free?

Yes. It is published on GitHub by phuryn under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Sprint Retrospective Facilitator

Context

Instructions

Frequently asked questions

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