Find the perfect capability for your agent.
Expert guide for building and managing Gemini CLI Extensions. Covers extension anatomy, GEMINI.md context, commands, MCP integration, and publishing. Use when creating Gemini extensions, linking local extensions, packaging MCP servers, or installing extensions from GitHub. Delegates to gemini-cli-docs.
NVIDIA API documentation for integrating NVIDIA services. Use for NVIDIA NIM (NVIDIA Inference Microservices), LLM APIs, visual models, multimodal APIs, retrieval APIs, healthcare APIs, and CUDA-X microservices integration.
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
Expert knowledge of Microsoft Agent Framework for building production AI agents and workflows. Use when building agents with Microsoft's framework, multi-agent orchestration, or tool integration.
Transforms user project requirements into a structured CLAUDE.md context file. Use when starting a new project and need to document project goals, architecture, technical stack, constraints, and conventions. This skill creates the foundational project context file that other skills and agents will reference throughout the project lifecycle.
Prevent file conflicts between multiple AI agents working in parallel
Evaluate skills by executing them across sonnet, opus, and haiku models using sub-agents. Use when testing if a skill works correctly, comparing model performance, or finding the cheapest compatible model. Returns numeric scores (0-100) to differentiate model capabilities.
Create API agents that wrap external HTTP services (n8n, LangGraph, CrewAI, OpenAI endpoints). Configure request/response transforms, webhook status tracking, A2A protocol compliance. CRITICAL: Request transforms use template variables ({{userMessage}}, {{conversationId}}, etc.). Response transforms use field extraction. Status webhook URL must read from environment variables.
Use when working with CodeRabbit AI code review. Covers triggering reviews, interpreting feedback, addressing comments, and PR workflow integration.
AI and MCP (Model Context Protocol) integration patterns for RawDrive. Use when working with the ai-service, implementing AI features, or building MCP tools.
Hybrid Agentic Workflows - Build production-ready multi-agent systems with Microsoft Agent Framework (client-side) and Azure AI Foundry Agent Service (cloud-managed). Supports MCP integration and multi-agent orchestration patterns.
프롬프트 엔지니어링 가이드. 프롬프트 템플릿 설계, 평가, 최적화 시 참조. "prompt", "template", "system prompt", "few-shot", "chain-of-thought" 키워드로 트리거.
Gerencia embeddings vetoriais do CarInsight para busca semântica
Configuring MCP Servers & Plugins for Claude Code. Set up Model Context Protocol servers (GitHub, Filesystem, Brave Search, SQLite). Configure OAuth, manage permissions, validate MCP structure. Use when integrating external tools, APIs, or expanding Claude Code capabilities.
Manage Claude Code environments using natural language. Use this skill when: - User wants to add, deploy, or manage Claude Code artifacts (skills, commands, agents, MCP servers) - User asks about available skills or capabilities ("what skills exist for X?") - User wants to search for artifacts to solve a problem ("I need something for PDF processing") - Agent needs to discover or deploy capabilities for a development task - User wants to create, import, or share artifact bundles - User mentions "skillmeat", "claudectl", or managing their Claude Code setup Supports conversational requests and the claudectl power-user alias.
Complete Vertex AI and Google Cloud Platform setup for Clojure agent development. Includes GCP project saas3-476116 credentials, security best practices (IAM, key rotation, LGPD), cost analysis, API enablement, and environment configuration. Use when starting new Clojure+Vertex project, configuring GCP credentials, implementing security compliance, or troubleshooting authentication.
