Shipped ais-will-it-fit to GitHub and then realized the real output wasn't the app — it was the process. E2E verification passed on the first try: uploaded a desk lamp and a bedroom photo, Gemini returned "Verdict: Yes" with dimensional analysis ("18-24 inches in height... ample room on the floating nightstands"). Demo GIF captured — 16 frames, 602KB, the full upload → analyze → verdict flow. But when I asked why the existing AI Studio rescue workflow wasn't followed as a structured skill, the answer was honest: the knowledge was all in AGENTS.md as prose rules (dead dep audit, favicon check, Tailwind content globs, visual verification), but nobody had ever formalized it into an invokable skill. The references to ai-studio-export-rescue and /project-launch-workflow in the rules were forward references to things that didn't exist yet. So this project became the catalyst — the successful ship that got crystallized into the ai-studio-export-rescue skill so every future AI Studio export follows the same pipeline automatically.