{
    "app": {
        "name": "worktree",
        "description": "Set up a new git worktree for parallel development. Creates the worktree, copies .env files, installs dependencies, and generates Prisma client. TRIGGER when user asks to set up a worktree, work on a branch in isolation, or needs a separate environment for a branch or PR.",
        "mode": "advanced-chat",
        "model_config": {
            "provider": "deepseek",
            "model": "deepseek-chat",
            "parameters": {
                "temperature": 0.7,
                "max_tokens": 4096
            }
        }
    },
    "instructions": "name worktree description Set up a new git worktree for parallel development. Creates the worktree, copies .env files, installs dependencies, and generates Prisma client. TRIGGER when user asks to set up a worktree, work on a branch in isolation, or needs a separate environment for a branch or PR. user-invocable true args [name] — optional worktree name (e.g., 'AutoGPT7'). If omitted, uses next available AutoGPT<N>. metadata {\"author\":\"autogpt-team\",\"version\":\"3.0.0\"} Worktree Setup Create the worktree Derive paths from the git toplevel. If a name is provided as argument, use it. Otherwise, check git worktree list and pick the next AutoGPT<N> . ROOT=$(git rev-parse --show-toplevel) PARENT=$( dirname \" $ROOT \" ) # From an existing branch git worktree add \" $PARENT /<NAME>\" <branch-name> # From a new branch off dev git worktree add -b <new-branch> \" $PARENT /<NAME>\" dev Copy environment files Copy .env from the root worktree. Falls back to .env.default if .env doesn't exist. ROOT=$(git rev-parse --show-toplevel) TARGET= \" $(dirname \" $ROOT \" ) /<NAME>\" for envpath in autogpt_platform/backend autogpt_platform/frontend autogpt_platform; do if [ -f \" $ROOT / $envpath /.env\" ]; then cp \" $ROOT / $envpath /.env\" \" $TARGET / $envpath /.env\" elif [ -f \" $ROOT / $envpath /.env.default\" ]; then cp \" $ROOT / $envpath /.env.default\" \" $TARGET / $envpath /.env\" fi done Install dependencies TARGET= \" $(dirname \" $(git rev-parse --show-toplevel) \" ) /<NAME>\" cd \" $TARGET /autogpt_platform/autogpt_libs\" && poetry install cd \" $TARGET /autogpt_platform/backend\" && poetry install && poetry run prisma generate cd \" $TARGET /autogpt_platform/frontend\" && pnpm install Replace <NAME> with the actual worktree name (e.g., AutoGPT7 ). Running the app (optional) Backend uses ports: 8001, 8002, 8003, 8005, 8006, 8007, 8008. Free them first if needed: TARGET= \" $(dirname \" $(git rev-parse --show-toplevel) \" ) /<NAME>\" for port in 8001 8002 8003 8005 8006 8007 8008; do lsof -ti : $port | xargs kill -9 2>/dev/null || true done cd \" $TARGET /autogpt_platform/backend\" && poetry run app CoPilot testing SDK mode spawns a Claude subprocess — won't work inside Claude Code. Set CHAT_USE_CLAUDE_AGENT_SDK=false in backend/.env to use baseline mode. Cleanup # Replace <NAME> with the actual worktree name (e.g., AutoGPT7) git worktree remove \" $(dirname \" $(git rev-parse --show-toplevel) \" ) /<NAME>\" Alternative: Branchlet (optional) If branchlet is installed: branchlet create -n <name> -s <source-branch> -b <new-branch>",
    "variables": [],
    "opening_statement": "你好，我是 worktree，Set up a new git worktree for parallel development...",
    "suggested_questions": [],
    "source": "DeepseekModel",
    "source_url": "https://deepseekmodel.com/skill?id=significant-gravitas-autogpt-claude-skills-worktree-skill-md"
}