Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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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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See how to installReview the instructions the agent will receive before you install.
/ao-orchestrator)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.
architect, techlead, ui_ux, engineering, reviewer, shipping), appropriate harnesses (claude-code, opencode, agy), and specific prompts.ao session ls, inspect agent logs, and inject steering instructions or clarifications via ao send.ao review once a worker completes its task, verify tests, and coordinate cross-project integration.The Orchestrator interacts with the local daemon (listening on loopback port 3101) strictly through the ao CLI:
# 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
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."
# 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
# 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
When the user asks you to coordinate work across multiple projects:
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 ..No reviews yet. Tell others what you thought.
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Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
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Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
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