What problem does it solve?
This Skill solves the problem of making large, unfamiliar codebases understandable to AI agents by generating consistent, AI-readable AGENTS.md documentation across directories.
Core Features & Use Cases
- Hierarchical documentation: Creates
AGENTS.md files with correct parent references so navigation and context inheritance are reliable.
- Comprehensive directory mapping: Scans the directory tree, analyzes each directory’s purpose, and documents key files, subdirectories, working instructions, and dependency notes.
- Safe regeneration: Detects existing
AGENTS.md, updates auto-generated sections, and preserves manual annotations for maintainable long-term use.
- Use Case: When onboarding a team to a monorepo, run this Skill to produce a complete
AGENTS.md hierarchy so agents can quickly locate how to work, test, and modify each part of the repository.
Quick Start
Ask your AI to run the Deepinit Skill to scan the repository and generate or update AGENTS.md files with correct parent references.