Build production-ready LLM applications, advanced RAG systems, and

Build production-ready LLM applications, advanced RAG systems, and

This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent...

Designs comprehensive backend systems including RESTful APIs, microservices, database architecture, authentication/authorization, caching strategies, message queues, and scalability patterns....

Creates comprehensive frontend UI/UX designs including user interfaces, design systems, component libraries, responsive layouts, and accessibility implementations. Produces wireframes, mockups,...

You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati

Consult Gemini CLI, Codex CLI, Mistral Vibe, Kilo CLI, Cursor, Claude, Amp, Qwen, and Ollama as external experts for coding questions. Automatically excludes the invoking agent from the panel to...

Conducts comprehensive code quality reviews including code smells detection, maintainability assessment, complexity analysis, design pattern evaluation, naming conventions, code duplication,...

Conducts comprehensive frontend code reviews including React/Vue/Angular component analysis, TypeScript/JavaScript quality assessment, CSS/styling review, performance optimization, accessibility...

Help users evaluate emerging technologies. Use when someone is assessing new tools, making build vs buy decisions, evaluating AI vendors, or deciding on technical architecture.

Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific,...

Implement dependency injection in PydanticAI agents using RunContext and deps_type. Use when agents need database connections, API clients, user context, or any external resources.

Register and implement PydanticAI tools with proper context handling, type annotations, and docstrings. Use when adding tool capabilities to agents, implementing function calling, or creating...

RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows,...

Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation...

Process and analyze massive documents (PDF, Word, HTML, JSON, Markdown) that exceed context limits. Use when a document is too large to fit in context, when you need to search large files, find...

Use Bun instead of Node.js, npm, pnpm, or vite. Provides command mappings, Bun-specific APIs, and development patterns.

Integrating local and cloud LLMs into Unreal Engine games for AI NPCs and intelligent behaviorsUse when "unreal llm, ue5 ai npc, unreal chatgpt, blueprint llm, unreal engine ai, ue5 dialogue,...

Generate draw.io diagrams from natural language and render in browser

Beads Viewer - Graph-aware triage engine for Beads projects. Computes PageRank, betweenness, critical path, and cycles. Use --robot-* flags for AI agents.