What problem does it solve? Coordinating parallel AI coding agents is error-prone: workers start on the wrong model, prompts get lost, and results are hard to verify. This Skill turns one worker turn into one JSON envelope inside a live Herdr session, handling spawn, brief, settle confirmation, and result reading so you can review outcomes instead of babysitting panes. ## Core Features & Use Cases - One-call worker lifecycle: Spawn a fresh worker, verify its runtime (provider/model/thinking) against the request, send a brief with the reporting contract, and receive a structured envelope with classification, last_message, and terminal_text. - Warm worker steering: Send follow-up prompts or resume after timeouts with herdr-delegate prompt and herdr-delegate wait, with transcript-based settle confirmation that outranks flaky status signals. - Model selection guidance: A maintained models reference maps task types (implementation, review, scouting) to concrete --kind and provider/model arguments. - Use Case: You need a refactor implemented while you keep planning. Run herdr-delegate fix-auth 'BRIEF' --kind pi --timeout 120000 --new-tab workers -- --provider openai-codex --model gpt-6-astra --thinking low, then review the returned report and corroborate it with jj st. ## Quick Start Ask the agent to delegate one well-scoped coding outcome to a fresh herdr worker using herdr-delegate with a model from the models reference, then review the returned envelope's classification and last_message.