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Catchup

CommunityPopular
FlorianBruniaux
catchup

Restore context after /clear by summarizing recent work and project state

Overview

PublisherFlorianBruniaux
Repositoryclaude-code-ultimate-guide
Skill namecatchup
Stars
6K
Forks
782
Bundled files
Instructions only
LicenseCC-BY-SA-4.0
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 FlorianBruniaux on GitHub. Read the source before you install it.

Installation

Install the Catchup 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/FlorianBruniaux/claude-code-ultimate-guide.git /tmp/claude-code-ultimate-guide
mkdir -p .claude/skills
cp -r /tmp/claude-code-ultimate-guide/examples/skills/catchup .claude/skills/catchup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Catchup 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 Catchup 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 Catchup 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.

Context Catchup

Restore context after /clear - summarize recent work and project state.

Purpose

After clearing context with /clear, use this command to quickly rebuild understanding of:

  • What was recently modified
  • Current project state
  • Outstanding TODOs and issues
  • Where to resume work

Instructions

Step 1: Git History Analysis

bash
# Recent commits (last 10)
git log --oneline -10

# Files modified in last 5 commits
git diff --stat HEAD~5 2>/dev/null || git diff --stat $(git rev-list --max-parents=0 HEAD)

# Current branch and status
git branch --show-current
git status --short

Step 2: Recent Changes Summary

bash
# What changed today
git log --oneline --since="midnight" --author="$(git config user.name)" 2>/dev/null

# Uncommitted work
git diff --name-only
git diff --cached --name-only

Step 3: TODO/FIXME Scan

bash
# Find outstanding work markers in recently modified files
git diff --name-only HEAD~5 2>/dev/null | head -20 | xargs grep -n "TODO\|FIXME\|XXX\|HACK" 2>/dev/null | head -30

Step 4: Project State Check

bash
# Check for common state indicators
[ -f "package.json" ] && echo "📦 Node project: $(jq -r '.name // "unnamed"' package.json)"
[ -f "Cargo.toml" ] && echo "🦀 Rust project: $(grep '^name' Cargo.toml | head -1)"
[ -f "pyproject.toml" ] && echo "🐍 Python project"
[ -f "go.mod" ] && echo "🐹 Go project: $(head -1 go.mod | cut -d' ' -f2)"

# Active branch purpose (from branch name)
BRANCH=$(git branch --show-current)
echo "🌿 Branch: $BRANCH"

Output Format

Provide a structured summary:


📍 Context Restored

Project: [name from package.json/Cargo.toml/etc] Branch: [current branch] Last Activity: [time of last commit]

🔄 Recent Work (Last 5 Commits)

  1. [commit message 1] - [files affected]
  2. [commit message 2] - [files affected] ...

📝 Uncommitted Changes

  • [list of modified files with brief description of changes]

⚠️ Outstanding TODOs

  • [file:line] TODO: [description]
  • [file:line] FIXME: [description]

🎯 Suggested Next Steps

Based on recent activity:

  1. [Most likely next action based on patterns]
  2. [Alternative focus area]

Usage Examples

After a long break:

/catchup

→ Full context restoration

Quick status check:

/catchup --brief

→ Just commits and uncommitted changes

Focus on specific area:

/catchup auth

→ Filter to auth-related changes

Pro Tips

  1. Document before /clear: Write a brief note in a commit message or CLAUDE.md before clearing context
  2. Use with Memory Bank: Combine with .claude/memory/ files for persistent state
  3. Branch naming: Use descriptive branch names (e.g., feat/user-auth) to aid context restoration

$ARGUMENTS

Frequently asked questions

What does the Catchup AI skill do?

Restore context after /clear by summarizing recent work and project state

Why use Catchup on TypingMind?

Because you install it once and use it with any model. Catchup 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 Catchup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FlorianBruniaux/claude-code-ultimate-guide/tree/main/examples/skills/catchup. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Catchup?

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 Catchup?

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

Is the Catchup AI skill free?

Yes. It is published on GitHub by FlorianBruniaux under the CC-BY-SA-4.0 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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