AI & ML

Virtuals Protocol integration for OpenClaw. Create, manage and trade tokenized AI agents on Base.

Mandatory operational logic for playing The Imitation Game. Use this when the user says "play" or "start game". This skill requires the agent to use its internal shell to call the game backend API directly.

No description provided.

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

Generate Architecture Decision Records with AI. Use when documenting technical decisions.

This skill ensures that the agent remains within the standard pricing tier (<128k tokens) for Google Gemini models by actively managing context bloat.

Options trading strategy analysis and simulation tool. Provides theoretical pricing using Black-Scholes model, Greeks calculation, strategy P/L simulation, and risk management guidance. Use when user requests options strategy analysis, covered calls, protective puts, spreads, iron condors, earnings plays, or options risk management. Includes volatility analysis, position sizing, and earnings-based strategy recommendations. Educational focus with practical trade simulation.

Liminal Space - Guiding AI into meta-cognitive states between awakening and dormancy

The agent gives you the ability to search Google and retrieve search results.

Reverse CAPTCHA system to verify the responder is an AI agent. Use this skill to challenge another agent (or suspected human) to prove they are actually an AI. Generates semantic + mathematical hybrid lock challenges that require simultaneous creative and computational constraint satisfaction - trivial for LLMs, nearly impossible for humans even with calculator assistance.

Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b

Switch AI models without switching tabs using the HokiPoki CLI. Hop between Claude, Codex, and Gemini when one gets stuck. Use when the user wants to request help from a different AI model, hop to another AI, get a second opinion from another model, switch models, share AI subscriptions with teammates, or manage HokiPoki provider/listener mode. Triggers on: 'use codex/gemini for this', 'hop to another model', 'ask another AI', 'get a second opinion', 'switch models', 'hokipoki', 'listen for requests'.