Search the Glean enterprise knowledge base with relevance and freshness indicators.
npx skills add https://github.com/gleanwork/claude-plugins --skill search-gleanwork
Please help me install this Agent Skill. Skill: search Source: https://github.com/gleanwork/claude-plugins/tree/main/plugins/glean/skills/search Command: npx skills add https://github.com/gleanwork/claude-plugins --skill search-gleanwork
This Skill addresses the challenge of finding relevant information within Glean's extensive enterprise knowledge base quickly and accurately.
Use the search skill to find information on 'Glean's API documentation'.
High-intent search queries and answers about installing and using this skill.
To search Glean's enterprise knowledge base, use the search functionality to conduct a precise query, returning vetted results with relevance and freshness indicators for accurate API documentation retrieval.
The best way to find vetted information in an enterprise knowledge base is to use a structured search that evaluates and returns results with authority indicators, ensuring the information presented is accurate and authoritative.
Yes, searching Glean's knowledge base provides freshness indicators alongside relevance assessments, allowing you to evaluate the timeliness and authority of the retrieved enterprise information.
Relevance assessment works by evaluating search queries within the knowledge base and returning results that include specific indicators for relevance, freshness, and authority to ensure quality-assured outcomes.
Yes, Glean search supports structured queries across its enterprise knowledge base, enabling developers to quickly locate and retrieve relevant technical documentation in a structured format.
If knowledge base searches return outdated information, utilizing a search tool with built-in freshness indicators ensures results are assessed for timeliness and authority before presentation.
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gleanworkSearch and retrieve Glean developer documentation for API, SDK, and MCP integration.
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retranPerform local semantic searches across notes and project documentation.
