Generate OpenCode configuration components and skills. Use this skill when you need to create or update OpenCode agents, commands, MCP servers, plugins, tools, or full agent skills following the official opencode.json schema. Supports generating supagents, commands, mcp configs, frontmatter, plugins, and tool mappings.
Set up and use MCP (Model Context Protocol) servers to extend Claude Code capabilities including PRISM semantic memory, filesystem access, and database integration. Use when setting up MCP servers, debugging MCP connections, or understanding MCP tool usage.
Use when designing agent tools, creating tool descriptions, implementing MCP tools, or asking about "tool design", "agent tools", "tool descriptions", "MCP", "function calling", "tool consolidation"
Unified router for agent delegation and skill routing. Absorbs agents-router + skills-router. Triggers on complex tasks, multi-step operations, research, exploration, or specialized skill needs.
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.
State-aware cognitive reasoning engine combining pattern detection, critical questioning, ontology validation, and gap analysis through InfraNodus integration. Uses programmatic Python modules for algorithmic precision with Claude interpreting results contextually. Handles writing analysis, cognitive diagnosis, ontology generation, and strategic content development.
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.
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
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.
Expertly integrate Agents Playbook MCP into external AI frameworks and design sophisticated workflows using 2026 models.
Initialize and configure OpenAI Agents SDK for building AI-powered chatbots. Uses NATIVE MCP integration via MCPServerStreamableHttp - no @function_tool wrappers needed! Use when setting up AI agents for Phase 3 chatbot implementation.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
This skill should be used when the user uses ambiguous terminology like "make it talk", "we need an api", "make it portable", "check for gaps", asks meta-questions like "am I making sense?", "does this make sense?", mentions being a "non-technical user", uses vague action verbs ("make it work", "do the thing"), mixes domain languages, uses invented terms, or when detecting semantic drift between human natural language and technical precision. Provides semantic translation, disambiguation, and domain knowledge mapping across Autogen, Langroid, MCP (Model Context Protocol), UTCP (Universal Tool Calling Protocol), FastAPI, Git/Gitflow, SRE (Site Reliability Engineering), and Memory Graphs domains. Bridges the gap between user intent and technical specificity through ontological translation.
Examples and patterns for integrating FastMCP Cloud servers with Claude Agent SDK using HTTP transport
Integration patterns for combining Agent-to-Agent (A2A) Protocol with Model Context Protocol (MCP) for hybrid agent communication. Use when building systems that need both agent-to-agent communication and agent-to-tool integration, implementing composite architectures, or when user mentions A2A+MCP integration, hybrid protocols, or multi-agent tool access.
Guide for building AI-powered applications using the Vercel AI SDK v6. Use when developing with generateText, streamText, useChat, tool calling, agents, structured output generation, MCP integration, or any LLM-powered features in TypeScript/JavaScript applications. Covers React, Next.js, Vue, Svelte, and Node.js implementations.
Patterns for building Model Context Protocol (MCP) servers including tools, resources, prompts, and transport handling. Use when creating MCP servers to extend AI assistant capabilities.
