What problem does it solve? AI-assisted development sessions often produce inconsistent results because project context lives in scattered prompts and tribal knowledge. This Skill establishes persistent, structured context artifacts (product.md, tech-stack.md, workflow.md, tracks.md) that keep AI behavior and team decisions aligned across sessions. ## Core Features & Use Cases - Context Artifact Management: Defines the purpose, contents, and update triggers for product.md, product-guidelines.md, tech-stack.md, workflow.md, and tracks.md. - Greenfield and Brownfield Setup: Guides creation of context from scratch for new projects or extraction of implicit context from existing codebases. - Validation and Anti-Pattern Detection: Provides checklists to detect stale context, context sprawl, and over-specification before starting implementation work. - Use Case: A team onboarding a new developer or AI assistant to an existing project uses this Skill to generate and validate conductor/ artifacts, ensuring every session starts from the same documented product vision, tech stack, and workflow rules. ## Quick Start Ask the AI to set up Conductor context artifacts for this project and validate that product.md, tech-stack.md, and workflow.md are current before starting the next track.
