Search local Obsidian vault notes using keyword and semantic queries.
npx skills add https://github.com/Abilityai/cornelius --skill search-vault-abilityai
Please help me install this Agent Skill. Skill: search-vault Source: https://github.com/Abilityai/cornelius/tree/main/.claude/skills/search-vault Command: npx skills add https://github.com/Abilityai/cornelius --skill search-vault-abilityai
This Skill helps you quickly find information within your Obsidian vault using both keyword matching and advanced semantic search, ensuring you can access relevant knowledge efficiently.
Search your vault for notes related to "quantum computing".
High-intent search queries and answers about installing and using this skill.
You can search an Obsidian vault using rapid keyword matching to find specific notes and retrieve contextual snippets based on your exact query terms.
Yes, semantic search enables deep conceptual retrieval from a knowledge base, returning the full content of the most relevant notes matching your query's underlying meaning.
Finding old project notes in Obsidian is best handled by combining keyword search for exact names with semantic search for conceptual queries like project phases or specific historical topics.
Yes, performing semantic search and vector similarity queries on a local vault leverages external shell commands for necessary file system operations and information retrieval.
Keyword search retrieves contextual snippets for exact matches, while semantic search uses vector similarity to provide the full content of the most conceptually relevant note.
Keyword search in a local knowledge base only finds exact term matches and snippets, missing conceptually related notes, which requires using semantic vector similarity search instead.
XSpoonAiIndex local notes with vector embeddings for offline semantic search.
cwenselSearch indexed collections with semantic and full-text queries.
aivos-xieParse Markdown documents into a structured knowledge base for cross-referencing and queries.
atxp-devBack up, restore, and vector-search markdown memory files via ATXP and zvec.
