Skill UI

A comprehensive platform designed for building, deploying, and managing continuous, autonomous AI agents. Users can create complex, multi-step automation workflows using a visual, drag-and-drop node editor, or extend functionality using a dedicated developer toolkit. Ideal for implementing persistent agents triggered by webhooks, schedules, or manual input, enabling sophisticated, end-to-end AI automation pipelines.

A comprehensive platform designed for building, deploying, and managing continuous, autonomous AI agents. Users can create complex, multi-step automation workflows using a visual, drag-and-drop node editor, or extend functionality using a dedicated developer toolkit. Ideal for implementing persistent agents triggered by webhooks, schedules, or manual input, enabling sophisticated, end-to-end AI automation pipelines.

Azure AI Voice Live SDK for .NET powers real-time bidirectional voice assistants over WebSocket, handling session startup, event streaming, audio playback, and optional function calling via Azure credentials or API keys.

Enables Claude to configure neural network architectures through the neural-network-builder plugin, creating or modifying models and defining layers, activation functions, and training parameters whenever network design or tuning is requested.

Guide to architect and deploy Firebase projects that securely call Vertex AI/Gemini from Cloud Functions, covering Auth, Firestore, Hosting, observability, and ops guardrails for production readiness.

Guides developers through using Google’s Gemini API to access advanced multimodal models, covering SDK installation, sample code in Python/JS/Go, REST specs, and documentation indexes for text, image, and function-calling workflows.

Guides building production Firebase Genkit apps with RAG flows, multi-step tooling, schema validation, and deployment via Firebase Functions or Cloud Run, including AI monitoring and error-handling best practices.

Use Langfuse Core Workflow B to collect manual feedback, run automated evaluation functions, operate LLM-as-judge scoring, and compare prompts for AI quality scoring.

This skill guides users through advanced prompt optimization techniques for Large Language Models (LLMs). It functions as an expert prompt engineer coach, applying methodologies like Constitutional AI and Chain-of-Thought reasoning. Use it to transform basic, raw instructions into highly effective, production-ready prompts, significantly improving accuracy, reducing hallucinations, and optimizing token usage for cost efficiency.

Guides running Mistral AI secondary workflows for embeddings and function calling, covering semantic search, RAG pipelines, and tool-augmented chats.

Guide for installing the Mistral SDK/CLI, setting up API keys via environment variables or dotenv, and verifying connectivity across Node.js and Python so integrations can securely consume chat, embedding, and function-calling endpoints.

Use this skill to implement OpenRouter function and tool calling when building agents or structured outputs with supported models such as GPT-4 or Claude, covering prerequisites, implementation guidance, testing, and production monitoring for API integrations.