Helps developers integrate Cloudinary into their applications by providing documentation and code examples retrieved directly from the optimized markdown files in the Cloudinary documentation.
When a user asks questions or requests code implementation relating to image or video upload, management, optimization, or transformations (resizing, applying effects, visual improvements, adding overlays, generative AI, etc.)
User asks about Cloudinary SDKs, upload APIs, or integration guides
General Cloudinary documentation lookup (account settings, webhooks, DAM features)
Looking up specific Cloudinary API endpoints or SDK methods
Use this skill in conjunction with more specialized Cloudinary skills when relevant.
Analyze the llms.txt content to understand what documentation pages are available
Reflect on the user's question and identify which specific documentation URLs would be most relevant
Navigate to the specific relevant documentation URLs from the llms.txt index (you can make multiple calls)
Use the fetched documentation to provide a comprehensive, accurate answer or code implementation. When relevant, use in conjunction with more specialized Cloudinary skills like cloudinary-transformations. The best practices defined in the specialized skills should guide which doc instructions to use.
Example workflows:
Example 1: Upload question
User asks: "How do I upload images to Cloudinary?"