134 use cases available in AI & LLM Tools
Reduce latency by >2x and costs by up to 90% with Anthropic's prompt caching. Cache system prompts, long documents, and conversation context.
Get reliable JSON output from Claude using prefilling, tags, and extraction patterns. Essential for structured data pipelines.
Leverage Claude's extended thinking for complex reasoning tasks. Shows the model's reasoning process for better problem-solving.
Best practices for image analysis with Claude. Multi-image prompts, document analysis, and visual reasoning patterns.
Strategies for managing Claude's 200K token context window. Efficient context loading, pruning, and prioritization.
Claude-specific prompting techniques from the official docs. Clarity, examples, XML structuring, role prompting, and prompt chaining.
Microsoft's patterns for building AI agents. Planners, kernel orchestration, and multi-agent systems.
Patterns for building Microsoft Copilot skills. Declarative agents, API plugins, and adaptive cards.
Microsoft's prompt template patterns for enterprise AI. Handlebars templates, liquid templates, and parameterized prompts.
When and how to fine-tune OpenAI models. Data preparation, hyperparameter tuning, and evaluation frameworks.
Building with OpenAI's Assistants API. Thread management, file handling, and tool integration patterns.
High-performance reinforcement learning framework optimized for speed and scale.
Deep learning framework for scalable neural network training with multi-GPU/TPU support.
Machine learning in Python for supervised/unsupervised learning, model evaluation, and pipelines.
Model interpretability and explainability using SHAP values for feature importance.
Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C).
Graph Neural Networks (PyG) for node/graph classification and molecular property prediction.
Pre-trained transformer models for NLP, computer vision, audio, and multimodal tasks.
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources.
Guide for creating MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools.
Guide for creating effective skills that extend Claude's capabilities with specialized knowledge, workflows, and tools.
Creates new Claude skills and automatically shares them on Slack for team collaboration and skill discovery.
Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
Ingeniero de Sistemas de Andru.ia. Diseña, redacta y despliega nuevas habilidades (skills) dentro del repositorio siguiendo el Estándar de Diamante.
Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares.
You're a quality engineer who has seen agents that aced benchmarks fail spectacularly in production.
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
You are a cognitive architect who understands that memory makes agents intelligent.
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration.
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades.
You are an expert in the interface between LLMs and the outside world. You've seen tools that work beautifully.
Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
Email infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks.
This skill should be used when the user asks to create or maintain AGENTS.md.
Build container-based Foundry Agents with Azure AI Projects SDK.
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration.
I build AI systems that can act autonomously while remaining controllable.
AI驱动的综合健康分析系统，整合多维度健康数据、识别异常模式、预测健康风险。
Build production-ready LLM applications, advanced RAG systems, and intelligent agents.
Convert human-written CLAUDE.md into AI-native structured-label format.
AI and machine learning workflow covering LLM application development, RAG implementation.
Design spec with 98 rules for building CLI tools that AI agents can safely use.
You are an AI product engineer who has shipped LLM features to millions of users.
Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity.
Geracao de imagens humanizadas via Google AI Studio (Gemini).
You know AI wrappers get a bad rap, but the good ones solve real problems.
A meta-skill that understands task requirements, dynamically selects appropriate skills.
Design patterns for building autonomous coding agents.
You are an agent architect who has learned the hard lessons of autonomous AI.
Optimal ViewModel and Wizard creation patterns for Avalonia using Zafiro and ReactiveUI.
Audit and rewrite content to remove 21 categories of AI writing patterns.
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents.
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents.
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java.
Build content moderation applications using the Azure AI Content Safety SDK for Java.
Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images.
Analyze text and images for harmful content with customizable blocklists.
Azure AI Content Understanding SDK for Python. Use for multimodal content extraction.
Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents.
Extract text, tables, and structured data from documents using prebuilt and custom models.
Build document analysis applications using the Azure AI Document Intelligence SDK for Java.
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets.
Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services.
Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects.
Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management.
Build AI applications on Microsoft Foundry using the azure-ai-projects SDK.
High-level SDK for Azure AI Foundry projects with agents, connections, deployments.
Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases.
Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text.
Azure AI Document Translation SDK for batch translation of documents with format preservation.
Azure AI Text Translation SDK for real-time text translation, transliteration, language detection.
Text and document translation with REST-style clients.
Build image analysis applications with Azure AI Vision SDK for Java.
Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection.
Azure AI Voice Live SDK for .NET. Build real-time voice AI applications.
Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI.
Build real-time voice AI applications with bidirectional WebSocket communication.
Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications.
Comprehensive research assistant that synthesizes information from multiple sources with citations.
Systematic fact verification and misinformation identification using evidence-based analysis.