wt
llama-farm/llamafarm/.claude/skills/wt/SKILL.md
Manage LlamaFarm worktrees for isolated parallel development. Create, start, stop, and clean up worktrees.
Skill837 starsChanged 13 months ago
What's in it
- wt - Worktree Manager Skill
- Full Documentation
- Quick Reference
- When to Use wt
- Common Workflows
- Starting a New Task
- Checking What's Running
- Cleaning Up
- Troubleshooting
- Service URLs
- Key Environment Details
- Notes for the Agent
Tools it asks for
- Bash
- Read
--- name: wt description: Manage LlamaFarm worktrees for isolated parallel development. Create, start, stop, and clean up worktrees. allowed-tools: Bash, Read user-invocable: true --- # wt - Worktree Manager Skill Manages isolated LlamaFarm development environments using git worktrees. Each worktree has its own services, ports, and data directories - enabling parallel agent sessions without conflicts. ## Full Documentation For complete documentation, architecture details, and advanced usage: @scripts/wt/README.md --- ## Quick Reference | Task | Command | |------|---------| | Create worktree and start services | `wt create feat/my-feature` | | Create and cd into worktree | `wt create --go feat/my-feature` | | List all worktrees with status | `wt list` | | Check service health | `wt status` or `wt health` | | Start/stop services | `wt start` / `wt stop` | | View service logs | `wt logs [server\|rag\|runtime\|designer\|all]` | | Delete worktree | `wt delete <name>` | | Switch to worktree | `wt switch <name>` | | Open Designer in browser | `wt open` | | Diagnose issues | `wt doctor` | | Clean orphaned data | `wt gc` | --- ## When to Use wt Use `wt` when: - Starting isolated work on a feature/task that needs running services - Running parallel coding sessions (multiple agents or terminals) - Testing changes without affecting the main development environment - Avoiding port conflicts between concurrent LlamaFarm instances --- ## Common Workflows ### Starting a New Task ```bash # Create isolated environment with services running wt create --go feat/my-task # Work in the worktree... # Services are already running on auto-assigned ports # Check status anytime wt status # View logs if needed wt logs server ``` ### Checking What's Running ```bash # List all worktrees with their port assignments wt list # Example output: # NAME STATUS SERVER DESIGNER RUNTIME # feat-my-task running 8150 5150 11150 # fix-bug stopped 8234 5234 11234 ``` ### Cleaning Up ```bash # Stop services and remove a worktree wt delete feat-my-task # Remove data for worktrees that no longer exist wt gc # Remove worktrees for branches merged to main wt prune ``` ### Troubleshooting ```bash # Diagnose common issues (ports, stale PIDs, missing tools) wt doctor # Restart stuck services wt stop && wt start # Force delete if normal delete fails wt delete my-worktree --force ``` --- ## Service URLs Each worktree gets unique ports. Check URLs with: ```bash wt url # Outputs: # Server: http://localhost:8150 # Designer: http://localhost:5150 # Runtime: http://localhost:11150 ``` If the Caddy proxy is running, use port-free URLs: ``` http://server.feat-my-task.localhost http://designer.feat-my-task.localhost ``` --- ## Key Environment Details - **Worktrees location**: `~/worktrees/llamafarm/` - **Data directories**: `~/.llamafarm/worktrees/<name>/` - **Port allocation**: Deterministic hash of worktree name (14345+offset, 5000+offset, 11000+offset) - **Logs**: `~/.llamafarm/worktrees/<name>/logs/` --- ## Notes for the Agent 1. **Always use `wt create --go`** when setting up a new task environment - it handles everything (branch, deps, build, services) 2. **Check `wt list` first** before creating a new worktree to see what already exists 3. **Use `wt status`** to verify services are healthy before running tests or making API calls 4. **Run `wt doctor`** when encountering unexplained service issues 5. **Clean up with `wt delete`** when a task is complete to free resources
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