Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.

Message Passing Neural Networks for Molecule Property Prediction

MiroThinker is a deep research agent optimized for complex research and prediction tasks. Our latest models, MiroThinker-1.7, achieves 74.0 and 75.3 on the BrowseComp and BrowseComp Zh, respectively.

CCXT for prediction markets. PMXT is a unified API for trading on Polymarket, Kalshi, and more.

Natural Gradient Boosting for Probabilistic Prediction

A portable agent skill that makes AI agents research comparable projects, tradeoffs, costs, and failure conditions before giving build advice.

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack.

JD-driven Chinese resume optimization skill for job seekers, packaged as an installable AI agent skill with prompts and test cases.

A meta-skill that creates, evaluates, and improves other AI agent skills with multiple modes and evidence-based validation.

Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.