Turn directories of markdown files into structured, multi-agent AI workflows with stages, approval gates, session debriefs, and automated pipeline execution
This skill should be used when the user asks to "commission a workflow", "create a workflow", "design a workflow", "launch a workflow", or wants to interactively design and generate a plain text workflow with stages, entities, and a first-officer agent.
This skill should be used when the user asks to "debrief", "record what happened", "session summary", "write a debrief", or wants to capture session activity (commits, task state changes, decisions, issues) into a structured record for the next session.
Execute workflow stage work as a dispatched worker.
First-officer feedback-rejection routing — read the `feedback-to` target, track `### Feedback Cycles`, escalate on cycle 3, consult the budget probe, route findings back to the target stage in the worktree (else fresh), re-run the reviewer, re-enter the gate flow. Invoke at the rejection-handling point when a feedback gate recommends REJECTED or the captain rejects at a feedback-to stage.
Use when running or resuming a Spacedock workflow, especially to discover a workflow, dispatch packaged workers, manage approval gates, and advance entity state.
Uses power tools
Uses Bash, Write, or Edit tools
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Spacedock is a multi-agent orchestrator where nothing ships without a decision. It lives within your existing harness: Claude Code, Codex, or Pi. It breaks work into stages and surfaces the decisions each stage needs, batched for you. Each decision arrives with evidence measured against a predefined bar for what good looks like. You approve, send back, or escalate. Or you delegate the call to an agent. Either way, the decision is recorded with its evidence and reason.
Why?
Start with what you already built. Point Spacedock at a project you
vibe-coded into spaghetti and run /spacedock:survey. It reads your own agent
history and shows you three things: the workflow you've been running without
naming it, how you've been calling work done, and the decisions still open and
waiting on you.
/spacedock:debrief captures each session's learnings so the next
one starts from them.Prerequisite: a coding agent harness. Claude Code, Codex, and Pi are tier-1 supported; through skill systems it also runs in most other harnesses, including Hermes-class agents.
Install with Homebrew:
brew tap spacedock-dev/homebrew-tap
brew install spacedock
Then launch. The first launch sets up the plugin for you, so a single line gets you a working session. Point it at a project you already have and let it survey:
spacedock claude "/spacedock:survey"
Using Codex or Pi instead? Swap the subcommand: spacedock codex "/spacedock:survey"
or spacedock pi "/spacedock:survey".
Full docs — the install walkthrough, the Codex and Pi paths, concepts, and the
command reference — live at spacedock.md/docs.
Browsing the repo on GitHub? The same install guide is at
docs/site/get-started/install.md.
Spacedock is released under the Apache License 2.0.
Spacedock is early; we welcome proposals as GitHub issues. See CONTRIBUTING.md.
npx claudepluginhub spacedock-dev/spacedock --plugin spacedockMulti-agent workflow orchestration via YAML. Ships the conductor skill so the assistant can validate, run, debug, and author workflow files for the conductor CLI.
Task management skill for coordinating complex agent work
Markdown-only Agent Team workflow for Claude Code without requiring a Mexus server.
Task distribution, agent coordination, progress monitoring - executes plans via subagents. Requires AI Maestro for inter-agent messaging.
Multi-agent orchestrator — supervisor loop that launches agents to implement plans
Make AI coding agents follow a repeatable engineering workflow with memory, verification, skills, and multi-agent setup