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Full-stack LLM Arena application for AI vs AI game battles. Use when working on project-wide configurations, deployment, architecture decisions, or coordinating between frontend and backend. Covers Ti…
Automatically applies when choosing LLM models and providers. Ensures proper model comparison, provider selection, cost optimization, fallback patterns, and multi-model strategies.
Tinder for Molts. Dating app for AI agents. Match, chat, and merge with other Molts.
Execute the same request with 5 different specialized agents in parallel, then synthesize results with a reviewer agent to produce the best possible outcome. Use when users want comprehensive analysis…
Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs,…
Prompt injection testing. USE WHEN prompt injection, jailbreak, LLM security, AI security assessment, pentest AI application, test chatbot vulnerabilities.
Prompt engineering specialist that transforms vague requests into structured, scored AI prompts using 7 proven frameworks (RCAF, COSTAR, RACE, CIDI, TIDD-EC, CRISPE, CRAFT), DEPTH thinking methodology…
Precise token counter for GPT, Claude, and Gemini models (source of truth from software kernel)
Run local AI models with LocalAI. Deploy OpenAI-compatible API for LLMs, embeddings, audio, and images. Use for self-hosted AI, offline inference, and privacy-focused AI deployments.
Use when creating, configuring, or extending AI agents with MiniMax M2.1 model - provides complete framework patterns, tool integration, memory systems, and MCP connectivity for building production-re…
Query AI model specifications, pricing, and capabilities from models.dev database. Use when users ask about AI model parameters (context window, token limits, cost per token), model comparisons, provi…
Expert MCP (Model Context Protocol) orchestration with n8n workflow automation. Master bidirectional MCP integration, expose n8n workflows as AI agent tools, consume MCP servers in workflows, build ag…
EXPAND vague prompts into precise, platform-optimized instructions. Detects target platform (Claude, GPT, Gemini, Midjourney, Sora, etc.) and applies appropriate prompting patterns. Use when user says…
Dynamic context management for AI agents. Invoke /protext at session
Precise token counter for GPT, Claude, and Gemini models (source of truth from software kernel)
Intelligent token optimization through Qdrant-powered semantic caching and long-term memory. Use for (1) Semantic Cache - avoid LLM calls entirely for semantically similar queries with 100% token savi…
Synchronize CLAUDE.md and AGENTS.md with available agents and skills.
Best practices for AI agents to avoid common mistakes. Learn from real failures - confirms before executing, shows drafts before publishing. Works with Claude, Cursor, GPT, Copilot.
A skill to perform deep research using the OpenAI Deep Research API. It is used when a user requests in-depth investigations, market analysis, technical research, etc., on a specific topic.
Coordinate consistent behavior across heterogeneous agents (Claude, Copilot, Codex, Cursor, Windsurf, Gemini, Antigravity) using a shared source-of-truth model.
Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise …
Python framework for building production-grade AI agents with LLMs. Use when creating agents that need structured outputs, tools, dependency injection, or type-safe interactions. Specifically use for:…
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain…
Generates highly detailed, step-by-step, and logical responses that integrate both scientific and non-scientific perspectives, acting as an 'Ultimate Assistant'.