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Found 21 Skills
INVOKE THIS SKILL when optimizing, improving, or debugging LLM prompts using production trace data, evaluations, and annotations. Covers extracting prompts from spans, gathering performance signal, and running a data-driven optimization loop using the ax CLI.
Integrates SAP Cloud SDK for AI into JavaScript/TypeScript and Java applications. Use when building applications with SAP AI Core, Generative AI Hub, or Orchestration Service. Covers chat completion, embedding, streaming, function calling, content filtering, data masking, document grounding, prompt registry, and LangChain/Spring AI integration. Supports OpenAI GPT-4o, Claude, Gemini, Amazon Nova, and other foundation models via SAP BTP.
Principios para escribir codigo de calidad. Usa cuando el usuario diga "buenas practicas", "best practices", "coding guidelines", "code quality", "clean code", "principios de codigo", "refactorizar con principios", "refactor with principles", o quiera seguir patrones de calidad.
Guide for adding new AI function examples, for testing specific features against the actual provider APIs.
Help users build effective AI applications. Use when someone is building with LLMs, writing prompts, designing AI features, implementing RAG, creating agents, running evals, or trying to improve AI output quality.
Complete Google Gemini API reference for 2026. Use whenever writing code that calls Gemini models. Covers the google-genai SDK, Gemini 3/3.1 models, thought signatures, thinking config, Interactions API, File Search (managed RAG), Computer Use, URL Context, Nano Banana image gen, Live API, ephemeral tokens, TTS, Veo video gen, Lyria music gen, and all tools. ALWAYS prefer `from google import genai` over any legacy import. Use this skill for ANY Gemini API question, even simple ones.
Fetches LangSmith traces for debugging agent behavior. Use when troubleshooting agent issues, reviewing conversation history, or investigating tool calls.
LlamaIndex integration. Manage data, records, and automate workflows. Use when the user wants to interact with LlamaIndex data.
Guidelines for deep learning development with PyTorch, Transformers, Diffusers, and Gradio for LLM and diffusion model work.