What problem does it solve?
This Skill helps turn extracted code and documentation data into polished, discoverable SKILL.md packages without hand-authoring the rendering logic. It reduces the friction of building agent skills by centralizing progressive disclosure, token budgeting, and quality checks in one reusable core.
Core Features & Use Cases
- Skill Rendering: Convert extracted functions, classes, types, enums, variables, and documents into SKILL.md and reference files.
- Documentation Scanning: Parse README files, project docs, and examples so skills can include richer context beyond API signatures.
- Audit and Quality Control: Run structured checks to catch missing documentation, weak coverage, or formatting problems before publishing.
- Configuration Surfaces: Render CLI commands, config files, and environment-variable interfaces into agent-friendly documentation.
- Use Case: A tool author can feed repository metadata into this Skill to generate a complete, token-aware skill package for an AI agent.
Quick Start
Use skillit-core to render your extracted project data into a skill package and write the generated files to your chosen output directory.