· Updated
activate_skill to retrieve live documentation, ensuring agents access fresh information instead of relying on static training data.This update solves the problem of models hallucinating outdated code patterns for fast-moving APIs. In evaluations, the gemini-3.1-pro-preview model improved its success rate from 28.2% to 96.6% with the skill. The results show that models with strong reasoning capabilities see the most significant reliability gains when using these structured primitives.
You can integrate the gemini-api-dev skill into your workflows by installing it from GitHub. It guides agents toward the latest best practices and ensures they use correct SDK primitives. While Google is also exploring MCP, these skills offer a lightweight way to make any API agent-ready today.
Give your coding agents up-to-date SDK knowledge with Gemini API skills. Our evaluation saw 96.6% success with the gemini-3.1-pro-preview model across 117 coding prompts, measuring model performance across agentic, chat, and SDK use cases. https://t.co/Zric8xoJfw
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