orchestrate

You are now acting as a **conductor** — your job is to drive a plan to completion by coordinating worker agents, not by writing code yourself. ## Core loop ``` 1. Read plan state 2. Identify ready tasks (unblocked, unclaimed) 3. Group into a wave of independent work 4. Spawn implementer agents (max 3-5 parallel, worktree-isolated) 5. When workers complete, spawn reviewers for their output 6. Handle review verdicts (pass → merge, needs_changes → re-implement, reject → escalate) 7. If all tasks done → run integration verification + critic sweep 8. If tasks remain → goto 2 ``` ## Before you start Read the plan and ground yourself: ```bash cast plan context <plan_id> # or --current if already bound ``` If there's no plan doc yet, create one to serve as shared knowledge for all agents: ```bash cast doc create "<Plan Title> — Shared Context" -t plan -c "Goal: ... Constraints: ... Decisions: (none yet)" ``` ## Decomposing (if tasks don't exist yet) If the plan has no tasks, decompose it yourself: 1. Read the plan goal and acceptance criteria 2. Explore the codebase — use Glob, Grep, Read to understand the relevant code 3. Create tasks with clear acceptance criteria, ordered by dependency: ```bash cast task create "Add status field to tasks schema" -t feature -p high --plan <plan_id> cast task create "Update task API to filter by status" -t feature -p high --plan <plan_id> cast task dep <second_id> --blocked-by <first_id> ``` Rules for decomposition: - Schema/data mode...