What problem does it solve? Choosing the right AI model and keeping model IDs current is difficult when providers release new versions frequently. This Skill provides an up-to-date reference of model identifiers, pricing, context limits, and code examples across Anthropic, OpenAI, Google, Eleven Labs, Replicate, Stability AI, Mistral, and Voyage AI. ## Core Features & Use Cases - Model Selection Matrix: Maps tasks like reasoning, code generation, vision, embeddings, and voice synthesis to recommended models with cost and latency tradeoffs. - Provider-Specific References: Lists current model IDs, TypeScript usage examples, and selection guidance for each major AI provider. - Cost Comparison Tables: Compares per-token pricing across providers at cheap, mid, and premium tiers. - Use Case: When building a chatbot, consult this Skill to pick between Claude Sonnet 4.5, GPT-4.1, and Gemini 2.5 Flash based on context length, cost, and latency requirements, then copy the correct model ID and SDK snippet directly into your code. ## Quick Start Ask which AI model to use for your task and request the current model ID and a usage example for your chosen provider.
