wt - Worktree Manager Skill

SkillDev tools

Manage LlamaFarm worktrees for isolated parallel development. Create, start, stop, and clean up worktrees.

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

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the wt - Worktree Manager Skill skill

What this skill tells your AI

The instructions your AI receives, as published by llama-farm/llamafarm in .claude/skills/wt/SKILL.md and read by ahel’s review.

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

TaskCommand
Create worktree and start serviceswt create feat/my-feature
Create and cd into worktreewt create --go feat/my-feature
List all worktrees with statuswt list
Check service healthwt status or wt health
Start/stop serviceswt start / wt stop
View service logswt logs [server|rag|runtime|designer|all]
Delete worktreewt delete <name>
Switch to worktreewt switch <name>
Open Designer in browserwt open
Diagnose issueswt doctor
Clean orphaned datawt 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

# 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

# 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

# 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

# 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:

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

Signals

GitHub stars
838
Forks
56
Last commit
Jun 2026
Advanced
Catalog kind
skill
Gateway key
wt-llama-farm
Source
github.com/llama-farm/llamafarm