Generate hierarchical AGENTS.md documentation across repository directories.
npx skills add https://github.com/nichobbs/lyric-lang --skill deepinit-nichobbs
Please help me install this Agent Skill. Skill: deepinit Source: https://github.com/nichobbs/lyric-lang/tree/main/.claude/skills/deepinit Command: npx skills add https://github.com/nichobbs/lyric-lang --skill deepinit-nichobbs
Deepinit removes codebase discovery friction by creating consistent, AI-readable AGENTS.md documentation that explains what each directory contains and how agents should work within it.
Run the skill to scan the repository directories and generate or update AGENTS.md files with correct parent links, preserving any manual sections.
High-intent search queries and answers about installing and using this skill.
You can generate hierarchical AGENTS.md files by recursively mapping repository directories and validating parent references. This creates a navigable documentation tree that enables AI agents to quickly understand directory purpose, relationships, and operational rules during codebase onboarding.
An AGENTS.md file provides AI-readable documentation explaining directory contents and operational guardrails for agents. It removes codebase discovery friction by embedding working, testing, dependency, and validation instructions, enabling faster multi-agent onboarding across large repositories.
Yes, you can update existing directory documentation without losing manual notes. The regeneration process detects existing AGENTS.md files, updates auto-generated sections, and preserves manually added content located between designated MANUAL markers during iterative repository changes.
You initialize consistent directory-level guidance by scanning repository directories and generating AGENTS.md files with correct parent links. This ensures complete coverage of relevant directories while skipping empty or generated-only cases to minimize documentation noise.
Automated repository documentation generation skips irrelevant generated-only or empty directories to minimize noise. It is best suited for initializing or refreshing large repositories requiring consistent directory-level guidance, rather than replacing specialized custom documentation for complex logic.
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