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worktree
// [Git] Use when you need to create isolated git worktree for parallel development.
// [Git] Use when you need to create isolated git worktree for parallel development.
[HINT] Download the complete skill directory including SKILL.md and all related files
| name | worktree |
| version | 1.0.0 |
| description | [Git] Use when you need to create isolated git worktree for parallel development. |
| disable-model-invocation | false |
Goal: Create isolated git worktrees for parallel feature development with automatic branch naming and env file setup.
Workflow:
worktree.cjs info to detect repo type, base branch, env filesworktree.cjs create with project, slug, prefix, and env filesKey Rules:
Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).
Create an isolated git worktree for parallel feature development.
node .claude/scripts/worktree.cjs info --json
Response fields:
repoType: "monorepo" or "standalone"baseBranch: detected base branchprojects: array of {name, path} for monorepoenvFiles: array of .env* files founddirtyState: booleanDetect branch prefix from user's description:
fixrefactordocstestchoreperffeatFor MONOREPO: Use AskUserQuestion if project not specified:
// If user said "/worktree add auth" but multiple projects exist
AskUserQuestion({
questions: [
{
header: 'Project',
question: 'Which project should the worktree be created for?',
options: projects.map(p => ({ label: p.name, description: p.path })),
multiSelect: false
}
]
});
For env files: Always ask which to copy:
AskUserQuestion({
questions: [
{
header: 'Env files',
question: 'Which environment files should be copied to the worktree?',
options: envFiles.map(f => ({ label: f, description: 'Copy to worktree' })),
multiSelect: true
}
]
});
add-authlogin-bugMonorepo:
node .claude/scripts/worktree.cjs create "<PROJECT>" "<SLUG>" --prefix <TYPE> --env "<FILES>"
Standalone:
node .claude/scripts/worktree.cjs create "<SLUG>" --prefix <TYPE> --env "<FILES>"
Options:
--prefix - Branch type: feat|fix|refactor|docs|test|chore|perf--env - Comma-separated .env files to copy--json - Output JSON for parsing--dry-run - Preview without executing| Command | Usage | Description |
|---|---|---|
create | create [project] <feature> | Create new worktree |
remove | remove <name-or-path> | Remove worktree and branch |
info | info | Get repo info |
list | list | List existing worktrees |
| Code | Meaning | Action |
|---|---|---|
MISSING_ARGS | Missing project/feature for monorepo | Ask for both |
MISSING_FEATURE | No feature name (standalone) | Ask for feature |
PROJECT_NOT_FOUND | Project not in .gitmodules | Show available projects |
MULTIPLE_PROJECTS_MATCH | Ambiguous project name | Use AskUserQuestion |
MULTIPLE_WORKTREES_MATCH | Ambiguous worktree for remove | Use AskUserQuestion |
BRANCH_CHECKED_OUT | Branch in use elsewhere | Suggest different name |
WORKTREE_EXISTS | Path already exists | Suggest use or remove |
WORKTREE_CREATE_FAILED | Git command failed | Show git error |
WORKTREE_REMOVE_FAILED | Cannot remove worktree | Check uncommitted changes |
User: /worktree fix the login validation bug
Claude: [Runs: node .claude/scripts/worktree.cjs info --json]
[Detects: standalone repo, envFiles: [".env.example"]]
[Detects prefix from "fix" keyword: fix]
[Converts slug: "login-validation-bug"]
Claude: [Uses AskUserQuestion for env files]
"Which environment files should be copied?"
Options: .env.example
User: .env.example
Claude: [Runs: node .claude/scripts/worktree.cjs create "login-validation-bug" --prefix fix --env ".env.example"]
Output: Worktree created at ../worktrees/myrepo-login-validation-bug
Branch: fix/login-validation-bug
[IMPORTANT] Use
TaskCreateto break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.
AI Mistake Prevention — Failure modes to avoid on every task:
Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal. Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing. Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain. Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path. When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site. Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code. Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks. Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis. Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly. Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.
Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.
MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.
IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting
IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)
IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.