What problem does it solve?
Setting up consistent AI-agent governance documentation (AGENTS.md, harness specs, coding standards, dev maps) for a project is manual and error-prone; this Skill automates context-aware generation and correction of those documents.
Core Features & Use Cases
- Project Context Sensing: Detects project type, tech stack, existing Harness components, and environment tool gaps before generating anything.
- Spec Document Generation: Produces AGENTS.md, glossary, five harness component docs (context engineering, architectural constraints, entropy management, tooling, execution & verification), and stack-matched standards presets.
- Dev Map & IDE Integration: Generates docs/dev-map via graphify, syncs standards rules to Cursor/CodeBuddy/Claude, and runs harness-verify as a delivery gate.
- Use Case: Point it at a monorepo with a Vue3 frontend and Gin backend; it detects both stacks, deploys frontend-vue3 and backend-gin standards, writes AGENTS.md with work-unit indexes, and outputs a summary report listing environment tool gaps.
Quick Start
Ask the agent to generate the Harness specification documents and standards for this repository.