Dev Worktree

SkillAI & models

This skill gives your AI guidance for setting up and resuming worktrees, which are separate copies of your code used for isolated feature work. Once added, your AI can start a new feature in its own worktree, pick up where you left off, switch between features, and check that a worktree is in good shape. It works for everyday tasks like implementation, debugging, review, and workflows where several agents work on different features at the same time.

Available today. Use it from your connected AI after setup.

After adding the skill, tell your AI which feature you are starting or returning to. It will handle the worktree setup or resume the one you already have.

Then ask your AI: use the Dev Worktree skill

What your AI can do with it

  • Set up an isolated worktree when starting a new feature
  • Resume work in an existing worktree
  • Switch between feature branches and worktrees
  • Verify that a worktree or branch is ready to work on
  • Keep debugging, implementation, and review work separate
  • Support multi-agent workflows with isolated feature work

What this skill tells your AI

The instructions your AI receives, as published by codeaholicguy/ai-devkit in skills/dev-worktree/SKILL.md and read by ahel’s review.

Set up or resume the correct workspace before feature work. Keep this skill focused on repository context, worktree isolation, and dependency bootstrap. Do not perform requirements, design, planning, implementation, testing, or review work here.

Phase Contract

  1. Propose the exact workspace plan before changing branch or worktree state.
  2. Confirm the target branch/worktree with the user before switching contexts.
  3. Use feature-<name> for branch and worktree names, where <name> is normalized kebab-case without the prefix.
  4. Prefer a project-local worktree at <project-root>/.worktrees/feature-<name>.
  5. Use no-worktree mode only when the user explicitly requests it.
  6. Run all follow-up commands in the verified target context.

Start Feature Workspace

Use for a new feature start.

  1. Normalize feature name to kebab-case <name>.
  2. Determine the project root, the directory containing .git.
  3. If the user explicitly requests no worktree:
    • Continue in the current repository and branch.
    • Call out that branch/workspace isolation is reduced.
    • Skip to dependency bootstrap.
  4. Otherwise use branch/worktree name feature-<name>.
  5. Ensure .worktrees is listed in the project .gitignore; if not, add it.
  6. If branch does not exist, run git worktree add -b feature-<name> .worktrees/feature-<name>.
  7. If branch exists and the target worktree does not, run git worktree add .worktrees/feature-<name> feature-<name>.
  8. If the target worktree already exists, reuse it after verifying it is clean enough for the requested work.
  9. Verify worktree context with git -C .worktrees/feature-<name> branch --show-current; it must equal feature-<name>.
  10. Return the active workdir path for the next phase.

Resume Feature Workspace

Use when continuing an existing feature.

  1. Check current branch with git branch --show-current.
  2. Check available worktrees with git worktree list.
  3. Prefer <project-root>/.worktrees/feature-<name> when it exists.
  4. Otherwise use branch feature-<name> in the current repository.
  5. Include the selected target in the plan and wait for approval before switching.
  6. After approval, run future phase commands in the selected context.

Dependency Bootstrap

After selecting the target context:

  1. Detect ecosystem from lockfiles, manifests, and tooling configs.
  2. Prefer deterministic lockfile-based installs.
  3. Use the repository-native command:
    • JavaScript/TypeScript: npm ci, pnpm install --frozen-lockfile, yarn install --frozen-lockfile, or bun install --frozen-lockfile.
    • Python: uv sync, poetry install --no-interaction, pipenv sync, or pip install -r requirements.txt.
    • Ruby: bundle install.
    • Rust: cargo fetch, or cargo build when fetch-only is insufficient.
    • Go: go mod download.
    • Java/Kotlin: ./gradlew dependencies, ./gradlew build, or Maven equivalent.
  4. For workspaces whose packages resolve against built artifacts (for example dist/ output consumed via workspace aliases), run the repository build (for example npm run build) after install. Full-suite validation and commit hooks fail on stale or missing artifacts with errors that look like code regressions. State when the build was skipped and why.
  5. If no dependency manager is clearly detectable, continue and state what was checked.

Output

End with:

  • Active workdir.
  • Branch name.
  • Whether worktree or no-worktree mode is active.
  • Dependency bootstrap command run, or why it was skipped.
  • Workspace build command run (when applicable), or why it was skipped.
  • Any workspace risks or blockers.

Signals

GitHub stars
2k
Forks
250
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
dev-worktree
Source
github.com/codeaholicguy/ai-devkit