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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    Git Worktree Manager

    1

    Stash, switch, lose your build cache, forget what you stashed — the branch-juggling tax that worktrees were built to eliminate.

    $8.99

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    Git Worktree Manager

    Git Worktree Manager

    Example session with this skill installed

    I want to run three Claude Code agents in parallel on our pnpm monorepo (Next.js web app plus a Node API, Postgres in Docker). Right now they all share one checkout and keep overwriting each other's changes and ports.

    • Read your context and instructions
    • Compiled the git worktree manager

    Worktree setup for three parallel agents: one checkout per agent, isolated ports and databases, fixed branch names and a cleanup routine.

    Directory layout

    ~/code/shop/            main checkout, you only
~/code/shop-wt/agent-1/ worktree, branch agent/1-<task>
~/code/shop-wt/agent-2/
~/code/shop-wt/agent-3/

    Create a worktree

    git worktree add ../shop-wt/agent-1 -b agent/1-checkout-refactor origin/main
cd ../shop-wt/agent-1 && pnpm install --frozen-lockfile

    Per-worktree environment

    Each worktree gets its own .env.local (git-ignored):

    WEB_PORT=3101      # agent-2: 3201, agent-3: 3301
API_PORT=4101
DATABASE_URL=postgres://dev:dev@localhost:5432/shop_agent1
COMPOSE_PROJECT_NAME=shop_agent1

    Keep one Postgres container and give each agent its own database, created by a seed script.

    Branch conventions

    • agent/<n>-<short-task>, always branched from fresh origin/main.
    • Agents commit only in their own worktree; you merge through PRs.
    • Never check out the same branch in two worktrees.

    Cleanup

    git worktree remove ../shop-wt/agent-1
git branch -d agent/1-checkout-refactor
dropdb shop_agent1
git worktree prune

    Next steps

    • Add a scripts/wt-new.sh that creates the worktree, env file and database in one step.
    • Add shop-wt/ paths to your agents' allowed working directories.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Stash, switch, lose your build cache, forget what you stashed — the branch-juggling tax that worktrees were built to eliminate. Most developers know worktrees exist; almost none use them well because the workflow isn't obvious. This skill manages your worktree setup end-to-end: creating and naming worktrees for concurrent branches, setting up the right directory structure so each worktree has its own node_modules and build cache, handling shared vs. isolated config, and cleaning up safely when you're done. It also helps you design a multi-worktree workflow for your specific project — hotfix alongside feature work, review alongside active development, without context-switching cost. Give it your repo structure and your current branch situation; it returns a worktree setup you can run immediately.

    • Does not manage cloud-based environments. - Requires local Git installation. - Command execution requires user approval for safety.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed4 months ago
    Updated12 days ago

    What's inside

    Frequently Asked Questions

    This skill eliminates 'context-switching tax' by automating the setup of Git worktrees, allowing you to work on hotfixes and feature branches simultaneously in separate directories without stashing or losing your build cache.

    The skill provides an optimized directory structure strategy, manages isolated dependency folders (like node_modules) for each branch, handles configuration sharing, and generates safe cleanup commands.

    This skill is designed for any AI agent that supports file system operations and terminal command execution, making it compatible with most modern LLM-based coding assistants and autonomous agents.

    Upon purchase, you receive the full skill logic geared for your AI agent, a guide on multi-worktree best practices, and a set of templates for different project types (e.g., Mono-repos or standard JS/Python projects).

    Unlike a basic script, this skill analyzes your specific repository structure and current branch state to propose a custom-tailored worktree layout rather than a one-size-fits-all setup.