Generate llms.txt and llms-full.txt indexes from documentation directories.
npx skills add https://github.com/dthuy62/kollet-app --skill ck-llms-dthuy62
Please help me install this Agent Skill. Skill: ck:llms Source: https://github.com/dthuy62/kollet-app/tree/main/.opencode/skills/llms Command: npx skills add https://github.com/dthuy62/kollet-app --skill ck-llms-dthuy62
This Skill turns a documentation folder or codebase into a concise, LLM-friendly index so people and agents can find the right docs without scanning everything manually.
Ask the skill to scan your docs directory and generate llms.txt, and include llms-full.txt if you want the expanded inline version.
High-intent search queries and answers about installing and using this skill.
To generate an llms.txt index, the Skill scans your markdown docs directory to extract titles and descriptions, then groups them into categorized link lists using deterministic Python scripts. It outputs a concise navigation summary optimized for LLM reading.
The llms.txt file provides a concise documentation index with categorized links and brief descriptions, while llms-full.txt exports expanded inline content for deeper context. Both files help agents find the right docs without scanning everything manually.
You can build a categorized site map by running the Skill's codebase scanning script over your documentation folder. It parses markdown files, extracts titles, groups links by category, and applies base URL building to produce a structured navigation summary.
Yes, the Skill is designed for publishing workflows that need deterministic documentation outputs. It executes Python scripts to parse markdown and generate structured indexes, ensuring consistent and reproducible llms.txt and llms-full.txt files.
The best way to organize a large markdown knowledge base is generating a curated documentation index. The Skill extracts titles and descriptions, groups them by category, and builds links with base URLs, creating a smarter table of contents for agents and users.
No external dependencies are required to run the llms.txt generation scripts. The Skill uses deterministic Python-script execution built into its components, allowing it to parse markdown and extract content without installing additional packages.
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