{"enrichment":{"faq":[{"a":"context7-auto-research detects your React 19 question, automatically fetches current documentation from Context7, and provides up-to-date useEffect patterns and code examples. Rather than relying on potentially outdated training data, the skill retrieves the latest React 19 API reference to show you correct syntax, hooks behavior, and best practices for your specific version.","q":"How do I use useEffect in React 19?"},{"a":"context7-auto-research handles major JavaScript/TypeScript ecosystems including React, Next.js, Vue, Svelte, Astro, Express, Prisma, Drizzle ORM, Firebase, Supabase, Tailwind CSS, shadcn/ui, Clerk, TypeORM, and Remix. 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This means you get current, accurate guidance without asking the skill to fetch docs explicitly.","q":"Can context7-auto-research detect questions about library setup?"},{"a":"Yes. context7-auto-research handles queries in multiple languages, including Chinese. Whether you ask '\u67e5\u770b React \u6587\u6863' (view React docs) or '\u600e\u4e48\u914d\u7f6e Next.js' (how to configure Next.js), the skill detects the library and retrieves current documentation to support your request in your preferred language.","q":"Does context7-auto-research work with non-English queries?"},{"a":"context7-auto-research uses independent context for API calls via sub-skill delegation, minimizing token overhead. By fetching documentation separately and integrating only relevant results into your response, it avoids redundant processing and keeps your conversation efficient while maintaining access to current, authoritative library references.","q":"How does context7-auto-research reduce token consumption?"}],"shadow_tags":["live-documentation","api-reference-fetcher","framework-setup-guide","code-example-generator","version-aware-lookup","proactive-research","npm-package-resolver","current-best-practices"],"summary_rewrite":"This skill detects when you're asking about libraries, frameworks, APIs, or code examples and automatically retrieves up-to-date documentation from Context7 instead of relying on potentially outdated training data. 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