AI Models Reference is an AI Engineering skill for Claude Code, published by alinaqi in maggy.
AI Models Reference lists current Claude, OpenAI, Gemini, Eleven Labs, Replicate, and related model choices with example APIs. Use it when you need to pick a model for reasoning, code, vision, embeddings, voice, or image generation.
AI Models Reference is cataloged under AI Engineering on DirSkills. AI Models Reference comes from a repository tagged ai-coding, claude, claude-code, developer-tools and project-initialization.
Documentation
Last Updated: December 2025
Use the right model for the job. Bigger isn't always better - match model capabilities to task requirements. Consider cost, latency, and accuracy tradeoffs.
This is the opening of the README. Read the full README on GitHub.
AI Models Reference is one of 25 skills that DirSkills catalogs from alinaqi/maggy, the repository it ships in. Its siblings there include AI Engine Optimization, AWS Aurora and AWS DynamoDB. Each one is a separate skill with its own page in this directory, installs the same way AI Models Reference does, and is maintained by alinaqi in that same repository. The rest of the collection is listed on the alinaqi/maggy page.
AI Models Reference ranks #1713 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of AI Models Reference against them. Open each page to compare what they document and how they install.
AI Models Reference is one of 25 skills cataloged on DirSkills from alinaqi/maggy.
AI Models Reference is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #1713 by stars among them.