Retrieve and rank knowledge-base entries by relevance and quality.
npx skills add https://github.com/tense-i/stock-market-simulator --skill kb-query-tense-i
Please help me install this Agent Skill. Skill: kb-query Source: https://github.com/tense-i/stock-market-simulator/tree/main/skills/kb-query Command: npx skills add https://github.com/tense-i/stock-market-simulator --skill kb-query-tense-i
KB search enables rapid retrieval of relevant patterns and bug fixes from large institutional knowledge bases, reducing time spent on manual browsing and triage.
Analyze a user query to retrieve top 5 KB results immediately.
High-intent search queries and answers about installing and using this skill.
You can retrieve bug fixes and patterns from a knowledge base by submitting a natural language query, which returns relevance-ranked results with quality scoring and metadata.
Knowledge-base search supports fuzzy matching to provide typo tolerance, ensuring that queries with minor spelling errors still retrieve the most relevant patterns and solutions.
Knowledge-base search supports category filtering, allowing you to narrow down software, infrastructure, and documentation repositories to find specific patterns and solutions.
The best way to discover solutions across software and infrastructure repositories is using a natural language query that retrieves metadata-rich results with relevance and quality rankings.
A knowledge-base search query immediately retrieves the top 5 most relevant results, ranked by quality scoring and metadata to guide your exploration of patterns and fixes.
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