Fetch markdown documents and extract sections by lines, headers, or keywords.
npx skills add https://github.com/kwanLeeFrmVi/claude-codes-md-reader-skill --skill md-fetch
Please help me install this Agent Skill. Skill: md-fetch Source: https://github.com/kwanLeeFrmVi/claude-codes-md-reader-skill/tree/main Command: npx skills add https://github.com/kwanLeeFrmVi/claude-codes-md-reader-skill --skill md-fetch
Markdown documentation is often spread across websites and needs targeted extraction to stay bite-sized for workflows. This skill fetches remote Markdown files, allows partial reading by lines or headers, and surfaces the most relevant sections for quick comprehension.
Provide a URL and optional extraction parameters to fetch and extract the desired markdown content.
High-intent search queries and answers about installing and using this skill.
You can fetch markdown from URLs and extract targeted sections by specifying line numbers or headers. This allows partial content extraction to quickly read only the relevant parts of remote documentation.
Yes, you can search for keywords within fetched markdown files. The tool uses BM25-based ranking to surface the most relevant sections across diverse documentation sources based on your search terms.
The best way to retrieve a portion of remote markdown is by using partial extraction parameters. You can specify line ranges or section headers to fetch bite-sized content instead of downloading the full file.
No, you do not need external services to extract markdown from URLs. The tool relies on local deterministic processing with curl and Python-based tooling to perform fetching, section parsing, and ranking reproducibly.
BM25 ranking for markdown section extraction scores sections based on keyword relevance. This heuristic surfaces the most pertinent content from the fetched markdown files, helping you quickly find targeted information.
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