Workers AI
This skill should be used when the user asks about "Workers AI", "AI models", "text generation", "embeddings", "semantic search", "RAG", "Retrieval Augmented Generation", "AI inference", "LLaMA", "Llama", "bge embeddings", "@cf/ models", "AI Gateway", or discusses implementing AI features, choosing AI models, generating embeddings, or building RAG systems on Cloudflare Workers.
npx skills add majiayu000/claude-skill-registry --skill workers-ai --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Workers AI ## Purpose This skill provides comprehensive guidance for using Workers AI, Cloudflare's AI inference platform. It covers available models, inference patterns, embedding generation, RAG (Retrieval Augmented Generation) architectures, AI Gateway integration, and best practices for AI workloads. Use this skill when implementing AI features, selecting models, building RAG systems, or optimizing AI inference on Workers. ## Workers AI Overview Workers AI provides serverless AI inference at the edge with: - **Text Generation**: LLMs for chat, completion, summarization - **Embeddings**: Vector representations for semantic search - **Image Generation**: Text-to-image models - **Vision**: Image classification and object detection - **Speech**: Text-to-speech and automatic speech recognition - **Translation**: Language translation models ### Key Benefits - **Edge deployment**: Low latency inference globally - **No infrastructure**: Serverless, auto-scaling - **Integrated**: Native integration with Workers, Vectorize, D1 - **Cost-effective**: Pay per inference, no minimum - **Latest models**: Llama 3.1, Mistral, BAAI embeddings ## Project-Specific Model Decisions Before recommend
- Purpose
- Workers AI Overview
- Key Benefits
- Project-Specific Model Decisions
- Model Information Freshness
- Model Categories
- Text Generation Models
- Embedding Models
- Image Generation
- Vision Models
- Speech Models
- Text Generation
- Basic Inference
- Streaming Responses
What does the Workers AI skill do?
This skill should be used when the user asks about "Workers AI", "AI models", "text generation", "embeddings", "semantic search", "RAG", "Retrieval Augmented Generation", "AI inference", "LLaMA", "Llama", "bge embeddings", "@cf/ models", "AI Gateway", or discusses implementing AI features, choosing AI models, generating embeddings, or building RAG systems on Cloudflare Workers.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill workers-ai --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.