llm-wiki

To build a markdown knowledge wiki in a git repository, you can use this Skill to initialize a new wiki and ingest various sources like articles and papers into structured, interlinked files. It automates creation and maintenance operations.

Yes, you can ingest PDF papers and web articles into your markdown wiki. The Skill optionally supports web scraping and paper extraction using libraries like pypdf and trafilatura to parse and add external content.

Yes, you need both Python and git installed to maintain an interlinked markdown wiki. The Skill requires git for repository source management and Python for executing the automation scripts that handle wiki operations.

To find broken links and orphan pages in your markdown wiki, you run the lint operation provided by the Skill. This feature scans your repository to detect structural issues and maintain wiki integrity.

The best way to query information from a large markdown knowledge base is using the Skill's query operation. It retrieves specific information from your ingested sources based on user queries.

To initialize a new knowledge wiki at a specific file path, use the init operation provided by the Skill. This creates the foundational git repository structure needed to start organizing your markdown files.