pdca-scaffoldlisted

# PDCA Scaffold A tool for generating domain-specific PDCA skills. You describe a complex repeatable task; this skill guides you through structured discovery, then generates a valid installable Claude skill tailored to your domain — with a built-in learning loop that sharpens the skill after each cycle. ## How This Works **Phase 1: Discovery** — Socratic questioning across 5 layers to understand your task, how human and AI responsibilities divide, what quality looks like, where intervention is needed, and what you want to learn from each cycle. **Phase 2: Generation** — A domain-specific PDCA skill is generated in your project directory. The skill includes phase prompts, working agreements, quality gates, and intervention triggers derived directly from your discovery answers. **Phase 3: Refinement (per cycle)** — After each ACT retrospective in the generated skill, the refinement protocol proposes specific diffs back to the skill's reference files. You approve each change. The skill gets sharper without growing longer. ## Start Here Read `references/discovery-guide.md` and begin Layer 1 questions. Do not skip layers or combine them — each layer builds on the previous. The confirmation gate after Layer 5 is mandatory before generating anything. ## After Generation The generated skill goes in `[domain]-pdca/` in the user's current project directory. It is committed to the project repo and version-controlled alongside the work it governs. Before using the skill in prod