moai-context7-lang-integration
Enterprise-grade Context7 MCP integration patterns for language-specific documentation access with real-time library resolution and intelligent caching
Enterprise-grade Context7 MCP integration patterns for language-specific documentation access with real-time library resolution and intelligent caching
Recommend who should do a task (Claude Code, Gemini, ChatGPT, Human, Taskmaster, MCPs) and generate handoff prompts.
Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools, resources, and prompts. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks safely, reliably, and with predictable outputs.. Use when Use this skill when the task matches its description and triggers..
Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools, resources, and prompts. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks safely, reliably, and with predictable outputs.. Use when Use this skill when the task matches its description and triggers..
Universal transformation λ(ο,K).τ with recursive self-improvement. USE WHEN routing reasoning, validating knowledge graphs, preparing CICM/ANZCA examinations, or when self-improvement of reasoning/architecture/context is required. Routes queries through R0-R3 complexity pipelines, validates topology (η≥target) and governance (KROG), emits per style (Φ), and compounds learnings into knowledge K. Triggers on complexity assessment, multi-step reasoning, examination mode, or /λ invocation.
Build AI agents with OpenAI Agents SDK + Model Context Protocol (MCP) for tool orchestration. Supports multi-provider backends (OpenAI, Gemini, Groq, OpenRouter) with MCPServerStdio. Use this skill for conversational AI features with external tool access via MCP protocol.
This skill should be used when building hybrid Knowledge Graphs that integrate structured data (CSV, databases) with automatically extracted entities from unstructured documents (PDFs, text). The pattern establishes a reliable join key between domain graphs and lexical graphs, enabling GraphRAG, document ingestion with metadata enrichment, and Knowledge Graph construction from heterogeneous sources using neo4j-graphrag SimpleKGPipeline.
PRIMARY skill creator. Use this by default when creating ANY skill. If user explicitly asks for a "Claude skill", "Claude-compatible skill", or "universal skill", use agent-skill-creator instead. Handles Amp-specific features (mcp.json, OAuth, Amp frontmatter).
Structured Brave Search web queries and summarizer workflows for MCP-style agents.
This skill should be used internally to decide when to use curated skills versus Context7 MCP for documentation lookups. Use this when handling technical questions about frameworks, libraries, or APIs to determine the optimal knowledge retrieval strategy.
Debug and improve the Bifrost vibe coding experience. Use this skill when working on Bifrost platform development in Claude Code where you have access to Bifrost source code. Helps identify system bugs vs documentation issues, fix the right thing, and ensure end users have a smooth MCP-only experience.
Uncertainty-aware non-linear reasoning system with recursive subagent orchestration. Triggers for complex reasoning, research, multi-domain synthesis, or when explicit commands `/nlr`, `/reason`, `/think-deep` are used. Integrates think skill (reasoning), agent-core skill (acting), and MCP tools (infranodus, exa, scholar-gateway) in recursive think→act→observe loops. Uses coding sandbox for execution validation and maintains deliberate noisiness via NoisyGraph scaffold. Supports `/compact` mode for abbreviated outputs and `/semantic` mode for rich exploration.
OpenCode.ai open-source AI coding agent comprehensive reference. Use when working with OpenCode TUI, CLI, IDE integration, configuring agents, tools, MCP servers, creating plugins, or developing with the SDK.
Expert in building MCP servers using the Official Python MCP SDK. Use this when defining tools, resources, and prompts that allow AI agents to manage application state.
Routes tasks to locally installed CLI tools using semantic matching. Triggers on tasks requiring shell commands, file operations, code search, data processing, visualization, or external tool invocation. Uses cli-index for semantic routing.
Enables Claude to interact with Microsoft Copilot for AI assistance, search, and content generation via Playwright MCP
Expert guidance for building AI agents and multi-agent workflows using Microsoft Agent Framework for .NET. Use when (1) creating AI agents with OpenAI or Azure OpenAI, (2) implementing function tools and structured outputs, (3) building multi-turn conversations, (4) designing graph-based workflows with streaming/checkpointing, (5) implementing middleware pipelines, (6) orchestrating multi-agent systems with fan-out/fan-in patterns, (7) adding human-in-the-loop interactions, (8) integrating OpenTelemetry observability, or (9) exposing agents as MCP tools.
How to delegate implementation tasks to Codex workers via MCP. Use when executing tasks that require code implementation by GPT Codex workers.
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).