What problem does it solve?
Engineers often hold invaluable tacit knowledge that's rarely documented, leading to inconsistent practices, slow onboarding, and AI agents struggling to understand project nuances. This Skill automates the extraction and structuring of that implicit knowledge, ensuring your AI coding agents always have the most up-to-date and relevant guidelines.
Core Features & Use Cases
- Guided Knowledge Extraction: Conducts context-aware interviews with engineers to surface implicit conventions, architecture decisions, and team practices.
- AI-Ready Steerings Generation: Automatically transforms interview responses into structured, agent-readable
Intent → Rules → Practices → Meta steering documents.
- Codebase-Grounded Questions: Analyzes your repository to ask highly relevant questions, ensuring generated steerings are practical and aligned with your existing codebase.
- Standardize Existing Docs: Review and transform your current steering files into a consistent, AI-optimized format.
- Use Case: Onboard new team members or AI agents faster by documenting critical engineering conventions, architectural invariants, and security practices that were previously only "known" by a few.
Quick Start
Start a guided interview to extract tacit engineering knowledge and generate structured steerings.
