skill-tree-generator

To generate a skill tree, map your library's domain to create a skill_tree.yaml scaffold and corresponding SKILL.md files, ensuring consistent AI agent discovery across your packages. This automates the creation of versioned skill documentation.

AI coding agents discover library features in a monorepo through versioned SKILL.md files with structured frontmatter. This skill maps domains to generate core, framework, and sub-skills with per-package paths for consistent navigation.

Yes, you can update existing SKILL.md files when your library version changes. The tool audits for staleness and drift, validating consistency across the skill tree to ensure AI agents rely on up-to-date knowledge.

Yes, this skill tree generation tool supports multi-package monorepos. It handles per-package paths and shared core patterns, generating references and artifacts to maintain consistent AI agent knowledge across all packages.

The best way to version AI agent skills is generating a complete skill tree where each SKILL.md frontmatter includes library_version, type, sources, and dependencies. This enables consistent agent discovery and handles updates when libraries change.

Generating a library skill tree requires frontmatter metadata including library_version, type, sources, and dependencies for each SKILL.md file. Optional references and assets can also be included to support domain mapping and agent discovery.