index-knowledge

Generate hierarchical AGENTS.md knowledge bases with depth-scored subdirectories.

4|Updated May 21, 2020
One-click install
npx skills add https://github.com/eratio08/dotfiles --skill index-knowledge-eratio08
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: index-knowledge
Source: https://github.com/eratio08/dotfiles/tree/main/opencode/.config/opencode/skills/index-knowledge
Command: npx skills add https://github.com/eratio08/dotfiles --skill index-knowledge-eratio08

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate a scalable, navigable knowledge base for a codebase by generating root AGENTS.md and depth-scored subdirectory documents to support onboarding and maintenance.

Core Features & Use Cases

  • Root AGENTS.md generation for overall project context
  • Parallel generation of subdirectory AGENTS.md files to cover modular codebases
  • Scoring-based location decisions with incremental updates from existing documentation

Quick Start

Run the knowledge-base generator against your repository to produce the root AGENTS.md and subdirectory documents.

Frequently Asked Questions about index-knowledge

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a hierarchical AGENTS.md knowledge base for a large codebase?▼

Generating an AGENTS.md knowledge base involves running a multi-phase workflow that produces a root-level document for project context and depth-scored subdirectory files for modular coverage. This structure supports scalable onboarding and maintenance across large projects.

What is depth scoring in subdirectory documentation generation?▼

Depth scoring is a matrix mechanism used to evaluate subdirectories and decide where to locate AGENTS.md files. It assesses codebase modules to ensure structured knowledge discovery is distributed effectively across scalable project architectures.

Can I incrementally update existing documentation when generating an AGENTS.md knowledge base?▼

Yes, the workflow supports incremental updates from existing documentation. It uses a scoring matrix and location decisions to integrate existing material while generating new root and subdirectory AGENTS.md files in parallel.

Does AGENTS.md knowledge base generation work for large modular codebases?▼

AGENTS.md generation is designed for large codebases by applying root-level documentation plus parallel generation of depth-scored subdirectory files. This hierarchical approach ensures navigable knowledge distribution across complex, modular project structures.

What is the best way to structure codebase documentation for scalable onboarding?▼

The best way to structure codebase documentation is using a hierarchical root and subdirectory AGENTS.md format. This approach applies depth-scored location decisions to generate scalable, navigable knowledge bases that support onboarding and maintenance.