
Wt
- 36 installs
- 835 repo stars
- Updated June 10, 2026
- llama-farm/llamafarm
Helps with ai & agent building tasks.
About
wt is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- wt
- AI & Agent Building
- AI-coding skill
Wt by the numbers
- 36 all-time installs (skills.sh)
- +1 installs in the week ending Aug 2, 2026 (Skillselion tracking)
- Ranked #8,629 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 2, 2026 (Skillselion catalog sync)
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| Installs | 36 |
|---|---|
| repo stars | ★ 835 |
| Last updated | June 10, 2026 |
| Repository | llama-farm/llamafarm ↗ |
What it does
Helps with ai & agent building tasks.
Files
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\ |
| 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
# 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 serverChecking 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 11234Cleaning 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 pruneTroubleshooting
# 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:11150If 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