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Cs Checkpoint Version

Community
ChenShuo2004
cs-checkpoint-version

Use when the user asks to save the current repository version, create a rollback point, checkpoint dirty worktree changes, preserve staged/unstaged/untracked files before risky edits, or restore a prior checkpoint. Trigger for "$cs-checkpoint-version", "保存当前版本", "方便回退", "回退点", "checkpoint", "rollback", "restore checkpoint", or similar wording.

Overview

PublisherChenShuo2004
Repositorycs-skills
Skill namecs-checkpoint-version
Stars
204
Forks
21
Bundled files
4
LicenseMIT
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ChenShuo2004 on GitHub. Read the source before you install it.

Installation

Install the Cs Checkpoint Version 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.
    https://github.com/ChenShuo2004/cs-skills/tree/main/cs-checkpoint-version
  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/ChenShuo2004/cs-skills.git /tmp/cs-skills
mkdir -p .claude/skills
cp -r /tmp/cs-skills/cs-checkpoint-version .claude/skills/cs-checkpoint-version
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cs Checkpoint Version 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 Cs Checkpoint Version 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 Cs Checkpoint Version 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.

Checkpoint Version

Purpose

Use this skill to create a local, file-based rollback point for one Git repository.

The default goal is safety: preserve the current branch, HEAD, staged diff, unstaged diff, and untracked files without creating a commit or changing the branch.

Rules

  • Work in one Git repository root. Confirm with git rev-parse --show-toplevel.
  • Create a checkpoint when requested or when this change needs a rollback artifact; do not snapshot every routine edit. Reuse a verified checkpoint only if HEAD, staged/unstaged diffs and untracked inputs have not changed.
  • Default to a safe snapshot under .codex-checkpoints/; do not commit unless the user explicitly asks for a Git checkpoint commit.
  • Include staged, unstaged, and untracked non-ignored files. Do not include ignored files such as dependencies, builds, caches, or secrets.
  • Never restore a checkpoint unless the user explicitly asks to roll back or restore.
  • Before restore, preserve the current worktree with a pre-restore checkpoint.

Save Workflow

  1. Inspect the repository:
powershell
git rev-parse --show-toplevel
git status --short --branch
  1. Pick a short slug from the task, such as before-refactor, before-release, or current-version.

  2. Run the bundled script from this skill:

powershell
powershell -NoProfile -ExecutionPolicy Bypass -File "<skill-root>\scripts\create-checkpoint.ps1" -Repo "<repo-root>" -Slug "current-version"
  1. Report:
  • checkpoint directory
  • branch and HEAD
  • whether staged, unstaged, and untracked files were captured
  • restore command

Restore Workflow

Use this only after the user explicitly asks to restore a checkpoint.

  1. Inspect available checkpoints:
powershell
Get-ChildItem -Directory "<repo-root>\.codex-checkpoints" | Sort-Object Name -Descending
  1. Read the checkpoint metadata:
powershell
Get-Content "<checkpoint-path>\metadata.json" -Raw
  1. Restore with the bundled script. The restore request supplies authorization; do not ask again for the same checkpoint. Still preserve pre-restore state and respect the separate CleanUntracked boundary:
powershell
powershell -NoProfile -ExecutionPolicy Bypass -File "<skill-root>\scripts\restore-checkpoint.ps1" -Repo "<repo-root>" -Checkpoint "<checkpoint-path>" -Force

Add -CleanUntracked only when the user wants an exact rollback that removes untracked files created after the checkpoint. The restore script excludes .codex-checkpoints/ from git clean.

  1. Verify after restore:
powershell
git status --short --branch
git diff --cached --stat
git diff --stat

Script Outputs

scripts/create-checkpoint.ps1 writes:

  • metadata.json: branch, HEAD, timestamp, counts, and restore hint
  • status.txt: branch-aware short status
  • status-porcelain.txt: exact status entries with untracked files expanded
  • staged.patch: binary-safe staged diff
  • unstaged.patch: binary-safe unstaged diff
  • untracked-files.txt: untracked non-ignored file list
  • untracked.zip: untracked file archive when untracked files exist

scripts/restore-checkpoint.ps1 resets to the checkpoint HEAD, reapplies staged and unstaged patches, restores untracked files, and creates a pre-restore checkpoint when the current worktree is not clean.

Common Mistakes

MistakeCorrect behavior
Treating checkpoint as a commitUse file snapshots by default; commit only when requested.
Saving only git diffAlso capture staged diff and untracked files.
Restoring without preserving current stateLet the restore script create pre-restore first.
Including ignored outputsKeep dependencies, build folders, caches, logs, and secrets out.
Running restore for a vague requestAsk which checkpoint to restore before changing files.

Verification

Run the bundled tests after editing the scripts:

powershell
powershell -NoProfile -ExecutionPolicy Bypass -File "<skill-root>\tests\cs-checkpoint-version.tests.ps1"

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cs Checkpoint Version AI skill do?

Use when the user asks to save the current repository version, create a rollback point, checkpoint dirty worktree changes, preserve staged/unstaged/untracked files before risky edits, or restore a prior checkpoint. Trigger for "$cs-checkpoint-version", "保存当前版本", "方便回退", "回退点", "checkpoint", "rollback", "restore checkpoint", or similar wording.

Why use Cs Checkpoint Version on TypingMind?

Because you install it once and use it with any model. Cs Checkpoint Version 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 Cs Checkpoint Version in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ChenShuo2004/cs-skills/tree/main/cs-checkpoint-version. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cs Checkpoint Version?

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 Cs Checkpoint Version?

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

Is the Cs Checkpoint Version AI skill free?

Yes. It is published on GitHub by ChenShuo2004 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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