By viktorbezdek
Comprehensive MCP (Model Context Protocol) server development skill. Build, configure, and manage MCP servers using Python (FastMCP) or TypeScript. Covers agent-centric design, tool creation, evaluation testing, production deployment, Claude Code integration, and plugin development.
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npx claudepluginhub viktorbezdek/skillstack --plugin mcp-serverBelief-Desire-Intention cognitive architecture for LLM agents. Formal BDI ontology, T2B2T paradigm, RDF integration, SPARQL competency queries, and neuro-symbolic AI integration patterns.
Apply systems thinking principles including feedback loops, leverage points, and system dynamics to analyze complex problems.
Comprehensive prompt optimization system for LLMs. Design effective AI interactions, evaluate prompt quality, and perform iterative refinement for any LLM platform.
Comprehensive Test-Driven Development skill implementing Red-Green-Refactor cycle across Python, TypeScript, JavaScript, and Emacs Lisp. Covers pytest, Vitest, Playwright, ERT, and Zod.
Design content models with types, fields, relationships, and governance rules for structured content systems.
MCP server development helper with tool and resource scaffolding
No description provided.
Model Context Protocol Mcp Expert subagent
Build FastMCP 3.x Python MCP servers — covers provider/transform architecture (including CodeMode, Tool Search, and server-level transforms), component versioning, session state, authorization (MultiAuth, PropelAuth, connection-pooled token verifiers), evaluation creation, Pydantic validation, async patterns, STDIO and HTTP transports, nginx reverse proxy deployment, background tasks, Prefab Apps UI, security patterns, client SDK usage, testing, deployment, and migration from FastMCP v2. TypeScript is a legacy reference only and is not updated for v3.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools.
Manage MCP servers - discover, analyze, execute tools/prompts/resources. Use for MCP integrations, capability discovery, tool filtering, programmatic execution, or encountering context bloat, server configuration, tool execution errors.