What problem does it solve? Projects often lack a scripted way to prove that real user-facing behavior works. This Skill interviews a repository and generates a tailored verification skill (.claude/skills/verify-<app>/) that launches the app, drives it the way a user would, and captures evidence. ## Core Features & Use Cases - Repo Interview: Identifies the app's surface (web UI, CLI/TUI, API, desktop), run command, driving harness (Playwright, CDP, tmux/PTY, HTTP), observable evidence, and isolation constraints directly from the codebase. - Skill Generation: Writes a complete SKILL.md with Launch, Doctor, Drive, Evidence, Cleanup, and Helpers sections grounded in real selectors and commands from the repo. - Feature Map Seeding: Creates a features directory with one file per user-facing feature, following a strict four-section contract (Sub-features, user POV entry points, harness driving steps, Gotchas). - Self-Proof: Runs the generated skill end to end once — launch, doctor, drive one feature, capture evidence, clean up — before handing it over. - Use Case: Point it at a repo with no scripted UI testing, and it produces a working verification skill plus a feature map that later agents can execute cold. ## Quick Start Ask the AI to create a verification skill for this repository so its user-facing behavior can be driven and proven automatically.