Analyze a session transcript with AI and generate structured insights (prompt quality, strategy critique, key decisions, takeaways) for the rewind viewer.

Write or update documentation with code-verified accuracy. Use when creating, reviewing, or updating docs, READMEs, guides, or API references.

Create a real-world whip case-study or lessons-learned markdown file under .whip/lesson-learn/<file-name>.md. Use when the user wants to capture an actual whip run, prompts, decisions, IRC coordination, outcomes, or lessons learned.

Turn a multi-agent request into a concrete 6-phase whip plan, get user approval, save it under ~/.whip/plans, then hand off to $whip-start for execution.

Triage unresolved PR review threads via webform and dispatch fixes through whip-start. Use after receiving review feedback on your own PR.

Run multi-agent simulations to measure output consistency. Use when you want to A/B test, validate behavioral equivalence, or stress-test non-deterministic behavior at scale.

Spawn whip agent sessions to handle tasks. Dispatch a single agent or assemble a small team with explicit backend, scope, and ownership.