Git Worktree Manager
CheckedAutomates Git worktree creation, switching, and cleanup for streamlined development workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add d-o-hub/rust-self-learning-memory --skill git-worktree-manager -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
d-o-hub
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned d-o-hub/rust-self-learning-memory at da7210f59b.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- da7210f59b
- Scanned
- 2 files, 119 lines
About this skill
What it does
This skill allows an AI agent to manage Git worktrees, enabling parallel development on different branches or repositories within the same parent repository. It facilitates switching between worktrees, creating new ones, and deleting existing ones, all through natural language commands. This is particularly useful for complex projects requiring multiple active feature branches or experimentation with different configurations.
When to use it
- Feature Branch Isolation: Create a separate worktree for each feature branch to avoid conflicts when working on multiple features concurrently.
- Experimentation: Spin up a new worktree to test out experimental changes without affecting the main development environment.
- Multiple Repositories: Manage different repositories that share a common parent repository, allowing seamless switching between them.
- Clean Development Environments: Quickly create and discard temporary environments for specific tasks or debugging scenarios.
Key capabilities
- Creating new worktrees.
- Switching between existing worktrees.
- Deleting worktrees.
- Listing available worktrees.
Example prompts
- "Create a worktree named 'feature/new-login'"
- "Switch to the worktree called 'experimental-branch'"
- "List all my git worktrees."
- “Delete the worktree ‘old-experiment’."
Tips & gotchas
The agent needs access to a Git repository to use this skill. Ensure the environment has Git installed and is properly configured for authentication before attempting to manage worktrees.