Search local Markdown notes with hybrid keyword and semantic retrieval.
npx skills add https://github.com/mahmoudimus/simba --skill qmd-mahmoudimus
Please help me install this Agent Skill. Skill: qmd Source: https://github.com/mahmoudimus/simba/tree/main/skills/qmd Command: npx skills add https://github.com/mahmoudimus/simba --skill qmd-mahmoudimus
This Skill addresses the challenge of inefficiently searching through large volumes of local Markdown documentation and notes, leading to wasted time and token consumption.
qmd search to pinpoint files related to "authentication" instead of reading every file in the src/auth directory.Use qmd search to find files related to authentication.
High-intent search queries and answers about installing and using this skill.
To search local markdown notes without wasting tokens, index your documentation files locally and use a hybrid search command to retrieve only relevant file paths before reading their contents.
Hybrid search for markdown documentation combines fast keyword BM25 matching with semantic similarity search, using reranking to pinpoint the most relevant local knowledge base files efficiently.
You find specific files in a large local knowledge base by running a local hybrid search query against your indexed markdown notes, returning targeted file paths instead of loading entire directories.
Yes, local markdown search works for exploring new codebases by indexing local documentation and notes, allowing you to query topics like authentication and retrieve relevant files before reading them.
The best way to explore local markdown documentation efficiently is using a local hybrid search tool that reranks semantic and keyword results, minimizing token usage by finding relevant files before reading.
Yes, you need to index your local markdown files first; this indexing process enables the retrieval system to perform fast keyword and semantic similarity searches across your documentation.
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