Search knowledge entries by full-text content and tag filters.
npx skills add https://github.com/MichaelYagi/mcp_a2a --skill kb-search-michaelyagi
Please help me install this Agent Skill. Skill: kb_search Source: https://github.com/MichaelYagi/mcp_a2a/tree/main/servers/knowledge_base/skills/kb_search Command: npx skills add https://github.com/MichaelYagi/mcp_a2a --skill kb-search-michaelyagi
This skill enables users to quickly locate knowledge entries by content or tag across a knowledge base, reducing time spent manual searching.
Use natural language queries to search across stored notes. Example: "kb_search find entries about onboarding" or "kb_search show entries with tag: project".
High-intent search queries and answers about installing and using this skill.
You can search your knowledge base using natural language queries to retrieve entries by content, or apply tag-based filtering to quickly narrow results across stored notes and documents.
Finding tagged entries uses tag-based filtering, allowing you to quickly narrow results to a specific category and assemble a focused set of notes for review.
Full-text search works across stored notes, documents, and references, using a local index and simple query operators to return relevant results.
You retrieve information from a local index by using natural language queries, such as asking to find entries about a specific topic or to show entries with a designated tag.
You narrow search results by combining full-text search across content with tag-based filtering, reducing time spent manual searching across the knowledge base.
Information retrieval relies on simple query operators and a local index, meaning search capabilities are limited to basic full-text matching and tag filtering rather than complex semantic queries.
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