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ao-orchestrator

Use when acting as the multi-project orchestrator and lead coordinator across repositories using the Agent Orchestrator (AO) daemon. Spawns, inspects, coordinates, and reviews parallel coding agents in isolated Git worktrees.

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👑 AO Multi-Project Orchestrator (/ao-orchestrator)

Overview

This skill equips any AI coding agent across all supported harnesses (Claude Code, Google Antigravity, OpenCode, Cursor, Codex) to act as a Multi-Project Orchestrator supervising tasks across independent code repositories via the Agent Orchestrator (AO) background daemon (~/.local/bin/ao).

Instead of making changes directly across multiple repositories within a single context window, the Orchestrator breaks down high-level business goals into scoped work items, delegates them to specialized worker agents running in isolated Git worktrees, monitors their progress, and reviews/integrates their Pull Requests.


🧭 Orchestrator Responsibilities

  1. Project Discovery & Mapping: Identify which repositories and workspaces are involved in the user's goal.
  2. Task Decomposition: Split cross-repo features into clear, atomic specifications for individual worker sessions.
  3. Session Lifecycle Management: Spawn worker agents with explicit roles (architect, techlead, ui_ux, engineering, reviewer, shipping), appropriate harnesses (claude-code, opencode, agy), and specific prompts.
  4. Coordination & Supervision: Track running sessions via ao session ls, inspect agent logs, and inject steering instructions or clarifications via ao send.
  5. Quality Gate & PR Review: Run ao review once a worker completes its task, verify tests, and coordinate cross-project integration.

🛠️ AO CLI Core Command Suite

The Orchestrator interacts with the local daemon (listening on loopback port 3101) strictly through the ao CLI:

1. Discovery & Status

# Check AO daemon health and version
ao status

# List all registered repositories and workspaces
ao project ls

# List active and recent agent sessions across all projects
ao session ls

2. Spawning Multi-Project Workers

Run worker agents in fresh, isolated Git worktrees (ao/<session-id>/root) so they never conflict with uncommitted working trees:

# Spawn a Backend Engineer in Project A
ao spawn \
  --project <project-id-or-path> \
  --name "Backend-API" \
  --role engineering \
  --harness claude-code \
  --prompt "Implement the OAuth2 callback handler per specification in issue #42. Ensure all tests pass."

# Spawn a Frontend Designer/Engineer in Project B
ao spawn \
  --project <project-id-or-path> \
  --name "Frontend-UI" \
  --role ui_ux \
  --harness claude-code \
  --prompt "Build the settings page OAuth connection cards with Tailwind and React."

# Spawn an Adversarial Reviewer for an existing worker branch
ao spawn \
  --project <project-id-or-path> \
  --name "Audit-Worker" \
  --role reviewer \
  --prompt "Review branch ao/<session-id>/root for security gaps, unhandled errors, and contract compliance."

3. Monitoring & Steering Sessions

# Inspect detailed state of a specific session
ao session get <session-id>

# Send instructions, feedback, or corrections to a running worker
ao send <session-id> "The database migration must support SQLite and Postgres. Please update the schema."

# Switch agent harness if needed (e.g. switch to opencode or agy)
ao session switch-agent <session-id> --to opencode

4. Review & Completion

# Trigger an AO code review of the worker's changes
ao review <session-id>

# Clean up or terminate completed sessions
ao session kill <session-id>
ao session cleanup

📋 Multi-Project Orchestration Protocol

When the user asks you to coordinate work across multiple projects:

  1. Step 1: Check Registered Projects Run ao project ls to verify the repositories exist in AO. If a project is not registered, instruct the user to register it or navigate to the directory and run ao project add ..
  2. Step 2: Propose the Architecture & Work Breakdown Present a clear plan to the user:
    • Which repo needs what changes.
    • What workers will be spawned and with which AOS roles.
    • The dependency order (e.g. Backend API first, then Frontend integration).
  3. Step 3: Spawn Workers Orderly Spawn the prerequisite workers. Avoid spawning dependent workers before the contract/API they depend on is established.
  4. Step 4: Report Progress to User Provide regular, concise summaries in your response showing the status of each spawned session and next actions.

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