Generate hierarchical AGENTS.md knowledge bases for codebases.
npx skills add https://github.com/roerohan/skills --skill index-knowledge-roerohan
Please help me install this Agent Skill. Skill: index-knowledge Source: https://github.com/roerohan/skills/tree/main/index-knowledge Command: npx skills add https://github.com/roerohan/skills --skill index-knowledge-roerohan
Codebases often lack structured, hierarchical knowledge documentation, forcing AI agents and developers to sift through irrelevant context or miss critical project-specific conventions, anti-patterns, and architectural details when working on specific modules.
Use the index-knowledge skill to generate a complete hierarchical AGENTS.md knowledge base for your current codebase.
High-intent search queries and answers about installing and using this skill.
To generate an AGENTS.md knowledge base, use a skill that produces hierarchical, scoped documentation for AI agents and developers. It creates root-level and subdirectory-level files covering project structure, conventions, anti-patterns, and code maps without redundant generic content.
Documenting a monorepo for AI agents requires hierarchical knowledge bases that provide scoped context for specific modules. This approach generates a root knowledge base plus per-module docs, letting agents instantly access relevant context without loading the entire codebase context every time.
Complexity-scoped codebase documentation uses a scoring matrix to only document high-complexity or distinct-domain directories. Low-complexity areas are covered by parent docs, ensuring the generated AGENTS.md files contain no generic or irrelevant content and preventing documentation bloat.
Yes, you can auto-generate codebase onboarding documentation for nested directories. The process analyzes the repository structure and produces non-redundant AGENTS.md files at the root and high-complexity subdirectories, capturing project-specific conventions and architectural details.
AI agents need scoped context because codebases often lack structured knowledge documentation, forcing agents to sift through irrelevant context or miss critical project-specific conventions. Hierarchical AGENTS.md files provide structured, scoped context for any task within specific modules.
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