Use this agent when the user asks questions ("Can Claude...", "Does Claude...", "How do I...") about Claude Code (the CLI tool) - features, hooks, slash commands, MCP servers, settings, IDE integrations, keyboard shortcuts, or the Claude API (formerly Anthropic API) - API usage, tool use, Anthropic SDK usage.
Creates, analyzes, updates, and evaluates Model Context Protocol (MCP) servers including architecture assessment, security validation, and connection configuration. Use when user asks if current context or logic should be MCP, requests MCP creation/improvement/update, mentions MCP is outdated, or asks how MCPs work, what MCPs are, explaining MCP concepts, understanding MCP architecture, protocol specification, server implementation, client integration, or connecting MCP servers to Claude Code.
Orthogonally-integrated Hegelian syntopical analysis for SAQ/VIVA/concept grounding with systematic textbook citations. Implements thesis extraction → antithesis identification → abductive synthesis across multiple authoritative sources. Tensor-integrated with /m command: activates S×T×L synergies (textbook-grounding × pdf-search × qmd = 0.95). Triggers on requests for model SAQ responses, VIVA preparation, concept explanations requiring textbook evidence, or any PEX exam content needing systematic cross-reference validation.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services. Use when building MCP servers to integrate APIs, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
This skill should be used when the user asks to "create an MCP server", "build MCP tools", "add MCP resources", "create MCP prompts", "implement MCP protocol", "deploy MCP server", "create AI tools", "expose API as MCP", "build Claude tools", "create LLM tools", or mentions FastMCP, MCP server, Model Context Protocol, MCP tools, MCP resources, MCP prompts, or server composition.
Build AI chat interfaces with custom backends, authentication, and context injection. Use when integrating chat UI with AI agents, adding auth to chat, injecting user/page context, or implementing httpOnly cookie proxies. Covers ChatKitServer, useChatKit, and MCP auth patterns. NOT when building simple chatbots without persistence or custom agent integration.
Enforce cost-aware MCP usage. Use when a task might trigger heavy external tools, web search, or broad context expansion. Prevents token burn by ensuring MCPs are only used when local context is insufficient.
This skill should be used when the user asks to "create MCP server", "build MCP server on Workers", "deploy MCP server", "extend Claude with tools", or is developing Model Context Protocol servers on Cloudflare.
Build custom Model Context Protocol servers to extend Claude's capabilities
Routes medical education grounding requests through atomic primitive composition. Four primitives (Σ Source, Τ Textbook, Δ Dialectical, Ρ Response) combine via operators (∘ ⊗ * |) for SAQ/VIVA/Academic response generation. Integrates: limitless, research, pieces, pdf-search, pdf-brain CLIs.
Expert Node.js and TypeScript development assistant. Use when writing, reviewing, or debugging Node.js code, TypeScript projects, async programming, streams, performance optimization, or npm packages.
Consult official Claude Code documentation from docs.claude.com using selective fetching. Use this skill when working on Claude Code hooks, skills, subagents, MCP servers, or any Claude Code feature that requires referencing official documentation for accurate implementation. Fetches only the specific documentation needed rather than loading all docs upfront.
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
This skill should be used when the user asks "what plugins are available", "list data science tools", "what MCP servers can I use", "enable code intelligence", or needs to discover available plugins like serena, context7, or data access skills like wrds and lseg-data.
Structured multi-step reasoning for complex problems using MCP. Use this skill when facing architectural decisions, performance bottlenecks, complex debugging, system design challenges, or any problem requiring deep, systematic analysis. Leverages the sequential-thinking MCP server for rigorous step-by-step reasoning with up to 31,999 thinking tokens. Complements architecture-planner and performance-optimizer agents.
Creates and configures Streamable HTTP Model Context Protocol (MCP) server connections for OpenAI Agents SDK
Unified router for reasoning, research, and analysis tasks. Consolidates reasoning-router + research-router + analysis-router.
Integrate xAI's Grok models for multi-model collaboration. Triggers on "Ask Grok", "What does Grok think", "Have Grok analyze", or similar phrases. Provides access to grok_query, grok_analyze_code, grok_reason, and grok_execute_code tools.
This skill should be used when integrating OpenAI Agents SDK with FastAPI, building message arrays from database history, running agents with MCP tools, parsing tool calls, executing them, and saving conversations to the database.
