Manages structured project context artifacts to ensure consistent AI-assisted development and team alignment.
This skill implements the Conductor methodology by treating project documentation—such as product vision, technical stacks, and team workflows—as version-controlled artifacts managed alongside code. It bridges the gap between high-level requirements and AI execution by providing a 'single source of truth' that informs every AI interaction. By establishing a persistent foundation of context, it reduces prompt drift, ensures architectural consistency across long sessions, and simplifies onboarding for both human developers and AI agents.
주요 기능
01Maintains a standardized 'tracks' registry for monitoring work unit status.
02Implements the 'Context -> Spec -> Evaluate-Loop' development workflow.
03Synchronizes AI behavior with documented style guides and architecture decisions.
042 GitHub stars
05Automates context setup for greenfield and existing brownfield projects.
06Orchestrates a living directory of product, technical, and workflow context files.
사용 사례
01Maintaining technical consistency across multi-session AI development tasks.
02Onboarding new team members to complex projects using AI-ready documentation.
03Transitioning legacy codebases into structured, context-aware environments.
