What problem does it solve? AI-assisted development sessions lose consistency when project context lives in scattered docs or ad-hoc prompts. This Skill establishes a persistent, structured set of context artifacts (product.md, tech-stack.md, workflow.md, tracks.md) so every session and team member works from the same source of truth. ## Core Features & Use Cases - Project Scaffolding: Generate a complete conductor/ directory with product, tech stack, workflow, and track registry artifacts for greenfield projects. - Brownfield Extraction: Analyze an existing codebase to pre-populate context artifacts from discovered patterns, dependencies, and documentation. - Context Validation & Sync: Run a validation checklist before implementation and keep artifacts synchronized as features complete and dependencies change. - Use Case: Onboarding to an unfamiliar repository—run the setup flow to extract the tech stack, workflow conventions, and active work tracks into readable Markdown documents. ## Quick Start Ask the AI to set up Conductor context artifacts for this project and generate product.md, tech-stack.md, workflow.md, and tracks.md in a conductor directory.