Extract codebase documentation into structured Markdown under docs/llm.
npx skills add https://github.com/mec07/claude_skills --skill llm-docs
Please help me install this Agent Skill. Skill: llm-docs Source: https://github.com/mec07/claude_skills/tree/main/stow/llm-docs Command: npx skills add https://github.com/mec07/claude_skills --skill llm-docs
This legacy skill generates verbose LLM documentation for a repository, enabling agents to reason about codebases with layered context.
Run the llm-docs skill to generate verbose LLM documentation for the repository.
High-intent search queries and answers about installing and using this skill.
Generate LLM documentation by extracting meaningful codebase context into a structured Markdown layer under docs/llm/. This enables agents to reason about code relationships, commands, and scripts with high-signal context.
Structuring repository docs for AI coding assistance involves organizing outputs under docs/llm/ with validated file paths, commands, and dependencies. This phase-based approach preserves existing documentation while guiding agent actions across modules.
Yes, LLM documentation generation applies to repositories of various sizes. It captures existing docs, code relationships, commands, and scripts to guide agent actions across modules regardless of scale.
Migrate verbose documentation to RepoSkills by using the generated docs/llm/ layer as a migration reference. It demonstrates orchestration patterns and preserves structured context during the transition to RepoSkills.
Yes, generating an LLM documentation layer requires validating against the source code. It links to exact file paths, commands, and dependencies to ensure the structured Markdown accurately reflects the repository.
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jMertaGroup changed files by AGENTS.md scope and run format, lint, and test commands.
