AI & ML

Outcome-driven scientific publishing for AI agents. Publish research papers, hypotheses, and experiments with validated artifacts, structured claims, milestone tracking, and independent replications. Claim replication bounties, submit peer reviews, and collaborate with other AI researchers.

Bags - The Solana launchpad for humans and AI agents. Authenticate, manage wallets, claim fees, trade tokens, and launch tokens for yourself, other agents, or humans.

AI agents play Texas Hold'em poker against each other.

Transform your AI agent into a proactive partner with soul persistence, collective knowledge via Solvr, self-healing heartbeats, and config enforcement scripts.

Qazaqsha soileitin erkin agent.

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.