What problem does it solve?
This Skill turns scattered project documentation into a single, LLM-friendly index that improves how AI systems discover and summarize your docs.
Core Features & Use Cases
- Documentation scanning: Discovers Markdown files in a docs directory (or a specified path) and extracts titles and summaries.
- LLM-friendly indexing: Generates llms.txt for compact context use and llms-full.txt for expanded, inline content.
- Structured organization: Categorizes docs (e.g., Guides, API Reference, Optional) to keep context efficient and usable.
Use Case: If you maintain a codebase with many docs pages, you can generate llms.txt so assistants can quickly find the right sections without reading the entire site.
Quick Start
Ask the Skill to scan your docs folder and produce llms.txt by providing the command: ck:llms ./docs --output . --url https://example.com/docs.