Search local Markdown notes with BM25, vector, and hybrid modes.
npx skills add https://github.com/alsk1992/CloddsBot --skill qmd-alsk1992
Please help me install this Agent Skill. Skill: qmd Source: https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/qmd Command: npx skills add https://github.com/alsk1992/CloddsBot --skill qmd-alsk1992
This Skill provides a fast and efficient way to search through your local Markdown notes and documents, helping you quickly find information without relying on cloud-based solutions.
Search your local markdown notes for the term "project planning".
High-intent search queries and answers about installing and using this skill.
You can search local markdown notes instantly by indexing them on your machine using a local hybrid search tool, which avoids cloud dependency and keeps data private.
Hybrid search for markdown documents works by combining BM25 keyword search for exact term matching with vector semantic search to retrieve conceptually related content.
Yes, you need Bun and SQLite installed to operate this local markdown knowledge base search, as the tool requires them for installation and underlying data management.
The best way to find specific notes in a large local markdown collection is using BM25 keyword search to quickly match exact words typed from your query.
Yes, you can use vector semantic search to locate related notes on a topic, retrieving documents based on conceptual meaning rather than just exact keyword matches.
Limitations of local markdown search include requiring local installation of Bun and SQLite, and being restricted to searching only the markdown files indexed on your local machine.
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