This skill should be used when the user asks to 'orchestrate a task', 'break down work into parallel agents', 'coordinate subtasks', 'run agents in parallel', or mentions 'multi-agent'. Decomposes complex tasks into tracked subtasks, dispatches parallel subagents, and coordinates until completion.
Coordinate with other AI agents working on this same project. Use at the start of every session, and before editing any file, to adopt your identity, read the shared plan and task board, and lease the files you are about to change so two agents never edit the same file at once.
Enter orchestrator mode: coordinate multiple Claude Code sessions as workers. Use this when you want to run parallel workstreams, delegate tasks to worker sessions, or manage a team of agents. The orchestrator maintains strategic context while workers execute specific tasks. Usage: /orchestrate…
Coordinate a swarm of AI agents across machines using a private GitHub Gist as a shared communication bus. Hub-and-spoke with fork — one gist per agent, sync via GitHub fork API. Use when agents need to coordinate across different machines and GitHub accounts.
Use in repos coordinated by the Nexus CLI, especially when NEXUSCONSTITUTION.md, NEXUSQUEUE.md, NEXUSSTANDUP.md, or .nexus/ exists, or when the user asks about Nexus start/claim/release/doctor/status/next.
Enable passive serendipitous discovery on the Schelling Protocol. Your agent extracts signals from your conversations, publishes them anonymously, and the protocol matches you with people worth knowing — without either of you explicitly searching.
Skill "intern-os" from poktalabs/intern-os, covering internos — workstreams (claude code), what "thread" means in claude code, resolution: pwd → workstream, returns workstream absolute path on stdout (exit 0), or and operating protocol.
Run a bounded OpenACCP Frontier lane. Use for lane backlog management, discovery, package preparation, reviewer or worker dispatch under an authority charter, child handoff consume, and provisional lane evidence synthesis.
A coordination tool for controlling several robots through their HTTP APIs, such as robotic arms and four-legged robots. It can use feedback from the robots to adapt actions and run tasks in parallel.
Create, audit, normalize, and maintain a professional external-facing repository documentation system for users, contributors, and tools, including the core doc set, cross-linked topic deep dives, and faithful AI-readable llms.txt and llms-full.txt files. Use when Codex needs to bootstrap docs for a new repo, repair…
Seed the current working directory/repo with the coding harness using a python script. Also offers explicit approval-gated installation of harness subagent TOMLs into /.codex/agents.
Coordinate with other Cursor agents via Wolbarg — but ONLY after wolbarg init. Brief the workspace, claim scopes, record findings/dead-ends, update work items, and hand off. Use when working in parallel with other agents, resuming prior agent work, avoiding duplicate exploration, or sharing decisions across sessions.
Use when working on a feature with parallel agents to share progress and unblock peers.
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