yolo-chorus

# 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 `mcp__chorus__` prefix on dsh (e.g. `mcp__chorus__chorus_pm_create_proposal`). Bare names are used below for readability — prepend `mcp__chorus__` when invoking. See `chorus` for the full rule. > **dsh adaptations summarized (details inline below):** (1) elaboration is self-answered with no user interaction; (2) reviewers run inline after each submit by loading the exact reviewer through the `skill` tool in a foreground `subagent` (`run_in_background: false`, wait for the verdict), with a read-only self-review fallback; (3) sessions are manual if you dispatch sub-agents; (4) task execution uses sequential main-agent waves. --- ## Overview `yolo-chorus` 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 + admin verify 5. **Report** -- completion summary ``` /yolo <prompt> | v Project + Idea + Elaboration (self-answered) + Proposal ...