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What Did I Get Done

OrganizationPopular
cursor
what-did-i-get-done

Summarize authored commits over a user-specified time period into a concise update

Overview

Publishercursor
Repositoryplugins
Skill namewhat-did-i-get-done
Stars
8K
Forks
728
Bundled files
Instructions only
Links
  • 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 cursor on GitHub. Read the source before you install it.

Installation

Install the What Did I Get Done AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/cursor/plugins.git /tmp/plugins
mkdir -p .claude/skills
cp -r /tmp/plugins/cursor-team-kit/skills/what-did-i-get-done .claude/skills/what-did-i-get-done
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable What Did I Get Done 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 What Did I Get Done 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 What Did I Get Done 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.

What did I get done

Trigger

Need a short, high-signal summary of work completed in a specific time range (for example: yesterday, last 3 days, or last week).

Workflow

  1. Resolve the requested time window into concrete dates.
  2. Read commits authored by the current git user email within that range.
  3. Exclude merge commits and uncommitted changes.
  4. Synthesize the most important shipped changes into a concise status update.
  5. Include the actual date range used in the final summary.

Guardrails

  • Be extremely concise and information-dense.
  • Prioritize substantial behavior or architecture changes.
  • Omit cosmetic-only changes (formatting, imports, minor renames).
  • Do not infer intent or motivation. Describe changes functionally.

Output

  • One short summary suitable for a status update
  • Real date range
  • Optional 2-5 bullets for major changes only

Frequently asked questions

What does the What Did I Get Done AI skill do?

Summarize authored commits over a user-specified time period into a concise update

Why use What Did I Get Done on TypingMind?

Because you install it once and use it with any model. What Did I Get Done 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 What Did I Get Done in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cursor/plugins/tree/main/cursor-team-kit/skills/what-did-i-get-done. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use What Did I Get Done?

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 What Did I Get Done?

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

Is the What Did I Get Done AI skill free?

It is published on GitHub by cursor. Check the repository for licensing terms. 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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