Index local files and SQLite tables for hybrid BM25 and embedding search.
npx skills add https://github.com/kortix-ai/computer --skill lss
Please help me install this Agent Skill. Skill: lss Source: https://github.com/kortix-ai/computer/tree/main/packages/kortix-opencode/skills/KORTIX-system/lss Command: npx skills add https://github.com/kortix-ai/computer --skill lss
LSS enables fast, accurate semantic search over local files and SQLite databases, replacing basic keyword lookups with meaning-aware retrieval.
Index a project folder with lss and then perform semantic searches across the content.
High-intent search queries and answers about installing and using this skill.
Semantic search over local files and SQLite databases is achieved by indexing your content with hybrid BM25 and embeddings, enabling meaning-aware retrieval without building custom adapters.
Searching a SQLite database with natural language is handled by indexing SQLite tables with hybrid BM25 and embedding search, allowing semantic recall directly over the stored data.
Continuously indexing local files is supported through watch mode, which automatically updates the index as file contents change to maintain accurate semantic search results.
Local semantic search over codebases does not require external providers, offering a choice of local or OpenAI-based providers to generate embeddings for the hybrid search index.
Hybrid BM25 and embedding search is used over basic keyword lookups when you need semantic recall over codebases or documentation, matching meaning rather than just exact terms.
dlantsIndex local Markdown files and retrieve semantic search results with contextual information.
gaos6ePerform web searches against Brave Search and return ranked results with snippets and metadata.
anderskevStore and query vector embeddings in SQLite using vec0 virtual tables.
dalagerEnable high-speed semantic vector search with HNSW indexing and metadata filtering.
