yolo

# Yolo Skill Full-auto AI-DLC pipeline. User provides a prompt; agent drives the entire lifecycle: Idea -> Elaboration -> Proposal -> Review -> Execute -> Verify -> Done. > **Tool namespace:** Chorus tools are exposed by the connected MCP server under a `chorus__` prefix on OpenClaw (e.g. `chorus__chorus_pm_create_proposal`). Bare names are used below for readability — prepend `chorus__` when invoking. See `/chorus` for the full rule. > **OpenClaw adaptations summarized (details inline below):** (1) elaboration is **self-answered as plain text** — no `AskUserQuestion`, no user interaction; (2) reviewers run **inline** after each submit — spawn a sub-agent with the OpenClaw `sessions_spawn` tool and tell it to run the `/proposal-reviewer` or `/task-reviewer` skill, with a read-only self-review fallback when `sessions_spawn` is unavailable; (3) sessions are **manual** if you dispatch sub-agents (no SubagentStart hook); (4) task execution is **sequential main-agent waves** — OpenClaw has no Agent Teams / `TeamCreate` primitive. --- ## Overview `/yolo` automates the complete AI-DLC workflow. You provide a natural language description of what you want built, and the agent handles everything: 1. **Planning** -- create project, idea, self-elaboration, proposal with docs & tasks 2. **Proposal Review** -- proposal-reviewer adversarial loop 3. **Execution** -- sequential, dependency-ordered task execution by the main agent 4. **Verification** -- task-reviewer adversarial loop + ...