The entire AI Loop Library as a compact digest (~2k tokens): every loop's id, category, one-line use_when, and verifier strength. This is the highest-signal single call here — you know the operator's repo, data, and recurring pain, so scan the digest against that context and make the pick yourself. Follow with get_loop for depth or render_run_protocol to run one.

Search AI Loop Library's bounded, verifiable work loops by job-to-be-done, keyword, or category. Each loop ships with a trigger, one-change-per-round discipline, a verification check, a stop condition, a budget, and a human approval boundary — so an agent can run it without thrashing. Returns ranked matches with a one-line why-matched.

Fetch one loop's full spec by id or slug: objective, trigger, allowed actions, verification (+ verifier strength), stop condition, budget, approval boundary, copyable prompt, and canonical URL. Use after browse_catalog or search_loops.

Shortlist the best-matching loops for a stated goal (lexical ranking with an honest confidence signal) — you make the final call. Returns 5 candidates with use_when, verification, and why-matched so you can judge against operator context the server can't see. When confidence is low, trust your own read of browse_catalog over this ranking. Follow with render_run_protocol for the executable version.

Render a loop as an executable markdown run protocol an agent can follow directly: objective/done contract, allowed actions, one-change-per-round rule, the same verification every round, a durable state-file skeleton, stop conditions, budget, risk-colored approval boundary, proof format, and a paste-ready Claude Code prompt. Session loops get bounded rounds; scheduled-tick business loops (SEO, ads, product metrics) get experiment logs, undo-losers discipline, and notify-the-human ticks.

Lint any loop design — the operator's own, or one you drafted — against the AI Loop Library anti-pattern rubric: verifier present and objective, stop condition, budget, one-change-per-round, durable state, same-check-every-round, micro-metric objective (MVL), human gates on risky surfaces, defined trigger. Returns a 0–10 score, per-check fixes, and related catalog loops. Deterministic text lint, not a model — 'missing' means 'not stated'.

Scaffold a NEW loop spec from a stated bottleneck when no catalog loop fits: returns a draft with every required field (trigger, scope, one-round action, suggested verifier for the domain, state files, stop conditions, budget, risk colors), an MVL sanity check on the objective, and the nearest existing loops to steal structure from. Follow with critique_loop on the completed draft.

List loop categories with live counts and library filter URLs.

Catalog overview: loop count, categories, featured loops, last_updated, and where the catalog was loaded from.