--- title: Closing the knowledge gap with agent skills | daily.dev description: Google DeepMind engineers built a 'Gemini API developer skill' to address the knowledge gap between static LLM training data and fast-evolving SDKs. By... canonical: https://daily.dev/posts/closing-the-knowledge-gap-with-agent-skills-7rysskujq twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Closing the knowledge gap with agent skills | daily.dev og:description: Google DeepMind engineers built a 'Gemini API developer skill' to address the knowledge gap between static LLM training data and fast-evolving SDKs. By... og:url: https://daily.dev/posts/closing-the-knowledge-gap-with-agent-skills-7rysskujq og:image: https://api.daily.dev/og/posts/7rYsSkUjq.png og:image:alt: Closing the knowledge gap with agent skills og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Closing the knowledge gap with agent skills **[Google Developers](https://daily.dev/sources/googledevs)** · 4 min read · 1 upvotes · 0 comments ## Summary Google DeepMind engineers built a 'Gemini API developer skill' to address the knowledge gap between static LLM training data and fast-evolving SDKs. By providing coding agents with real-time documentation references and updated SDK primitives via a lightweight skill, they boosted task pass rates from a baseline of 28.2% (Gemini 3.1 Pro) up to 96.6%. The skill is installable via Vercel or Context7 and was evaluated against 117 prompts covering agentic coding, chatbots, streaming, and document processing. While results are promising, limitations include the lack of automatic skill updates and evidence that direct AGENTS.md instructions can sometimes outperform skills. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#llm](https://daily.dev/tags/llm), [#mcp](https://daily.dev/tags/mcp), [#google-gemini](https://daily.dev/tags/google-gemini) [View this post on daily.dev](https://daily.dev/posts/closing-the-knowledge-gap-with-agent-skills-7rysskujq) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Closing the knowledge gap with agent skills","url":"https://daily.dev/posts/closing-the-knowledge-gap-with-agent-skills-7rysskujq","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/closing-the-knowledge-gap-with-agent-skills-7rysskujq"},"datePublished":"2026-03-25T15:03:15.146Z","dateModified":"2026-03-25T15:03:49.754Z","description":"Google DeepMind engineers built a 'Gemini API developer skill' to address the knowledge gap between static LLM training data and fast-evolving SDKs. 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