What problem does it solve? Developers joining a project or touching an unfamiliar feature lack deep, function-level documentation; wikis stay at contract level and go stale. This Skill generates local, per-feature onboarding docs that teach one feature well enough to safely extend it. ## Core Features & Use Cases - INIT mode: Picks one feature (wiki topics first, or a user-pointed directory), then dispatches a pinned writer agent to produce learning-docs/<feature>/ with learning.md (mental model, guided walkthrough, change recipes, FAQ) and knowledge.md (file:line-anchored functions, call flow, contracts, fingerprints). - REFRESH mode: Computes per-feature freshness (FRESH/AGING/STALE) from git distance and drift against stored source_commit and file hashes, then regenerates only the features the user selects. - Use Case: A developer runs /orc-learn, picks the "orders" feature from the wiki list, and receives a pedagogical walkthrough tracing a real request from route to persistence, plus a reference doc with anchored invariants and verify commands. ## Quick Start Ask the assistant to run /orc-learn and pick a feature of this repository to generate local onboarding docs for it.