From claude-commands
Guides usage of Agent Orchestrator (ao) CLI for durable coding workflows: bootstrap repos, dispatch work, inspect sessions, send follow-ups, and recover sessions.
How this skill is triggered — by the user, by Claude, or both
Slash command
/claude-commands:agent-orchestratorThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use AO for durable coding work instead of manually creating worktrees or running agent CLIs directly.
Use AO for durable coding work instead of manually creating worktrees or running agent CLIs directly.
ao start.ao spawn.ao status or ao session ls.ao send.ao session restore and ao session cleanup.# Start AO in the current repo
ao start
# Start AO for another local repo or clone from GitHub
ao start ~/path/to/repo
ao start https://github.com/owner/repo
# Dispatch work
ao spawn "fix the flaky GitHub SCM retry path"
ao spawn -p agent-orchestrator bd-1234
ao spawn --project agent-orchestrator --claim-pr 456
# Inspect and steer work
ao status
ao session ls
ao send <session-id> "Also update the failing test coverage."
# Recovery and cleanup
ao session restore <session-id>
ao session cleanup --dry-run
ao spawn for coding, debugging, CI fixes, review follow-up, and multi-step work.-p, --project.references/config.md.git status, gh pr view, rg, simple file inspection.references/config.mdao --help, ao spawn --help, ao start --helpAGENTS.md, CLAUDE.mdscripts/setup.sh for repo maintainers, npm install -g @jleechanorg/ao-cli for others; ao doctor must pass after any install or updatenpx claudepluginhub jleechanorg/claude-commands --plugin claude-commandsDelegates and coordinates work across multiple AI agents and runtimes. Useful for launching sub-agents, choosing runtimes or models, inspecting and resuming background work.
Orchestrates parallel AI coding agents in isolated Git worktrees using Agency CLI. Create, list, merge tasks; attach files; manage tmux sessions for simultaneous coding.
Manages multi-agent orchestrator for Claude Code enabling parallel AI workers, work tracking, and agent lifecycle management. Useful for running multiple agents on projects simultaneously.