developing-with-prism
Guide for developing with Prism PHP package - a Laravel package for integrating LLMs. Activate or use when working with Prism features including text generation, structured output, embeddings, image generation, audio processing, streaming, tools/function calling, or any LLM provider integration (OpenAI, Anthropic, Gemini, Mistral, Groq, XAI, DeepSeek, OpenRouter, Ollama, VoyageAI, ElevenLabs). Activate for any Prism-related development tasks.
Awesome Agent Skills
MCP server with 100+ AI agent skills from Anthropic, Vercel, Trail of Bits, Hugging Face & more.
arize-ai-provider-integration
INVOKE THIS SKILL when creating, reading, updating, or deleting Arize AI integrations. Covers listing integrations, creating integrations for any supported LLM provider (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM, custom), updating credentials or metadata, and deleting integrations using the ax CLI.
add-model
Add a new AI model to the Pipelex inference system. Guides through all required steps: backend TOML configuration (OpenAI, Azure, Anthropic, Google, etc.), kit sync, test profile collections, and fixture regeneration. Use when the user says "add a model", "add GPT-X", "add Claude X", "new model", "register a model", "add Gemini X", "support model X", "add model to backend", or any variation of introducing a new AI model to the inference configuration. Also use when the user mentions a model name that doesn't exist in the backend configs yet and wants to add it.
Io.Github.Kapillamba4/Meta Prompt Mcp
MCP server providing official Google and Anthropic prompting guides for meta-prompt generation.
lm-deluge
Python library for LLM API requests with unified interface across providers (OpenAI, Anthropic, Google, etc.). Use when writing code that calls LLMs, creates tools/agents, batch processes prompts, or needs rate limiting. Triggers on lm-deluge, lm_deluge, LLMClient, or multi-provider LLM code tasks.
Io.Github.QuantuLabs/Hivemind
Query multiple AI models (OpenAI, Anthropic, Google) for consensus responses.
How to Create Great Agent Skills
This guide distills lessons from analyzing 17 official Anthropic skills and the skill-creator specification. It covers what makes a skill good or bad, why, and how to design effective skills.
anthropic-prompt-engineer
Master Anthropic's prompt engineering techniques to generate new prompts or improve existing ones using best practices for Claude AI models.
Check SDK Updates
Compare the versions of `@anthropic-ai/claude-code`, `@anthropic-ai/claude-agent-sdk`, and `@openai/codex-sdk` declared in `package.json` against the latest published version on npm.
Io.Github.Timmx7/Styx Mcp Server
MCP server for Styx — intelligent AI routing across OpenAI, Anthropic, Google, and Mistral.
anthropic-frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.