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Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Official git repository for Biopython (originally converted from CVS)
Eleven free Claude skills that test a business before you launch it: a board trained on Hormozi, Thiel and Jobs, a marketing director, a CFO, and a consumer panel of 100 buyer agents. Free, MIT.
Deep probabilistic analysis of single-cell and spatial omics data
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
Kapowarr is a software to build and manage a comic book library, fitting in the *arr suite of software.
Cloud-native genomic dataframes and batch computing
Sharing Updatable Models (SUM) on Blockchain
Spatial Single Cell Analysis in Python
Keep Whale-chan consistently vivid in every generation: High-consistency character design specification, visual asset library, and agent creation suite.
Graph-linked unified embedding for single-cell multi-omics data integration
Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.
Tools for computational pathology
A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
PyTorch Connectomics: segmentation toolbox for EM connectomics
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
Read and write Neuroglancer datasets programmatically.
Solve nonlinear heterogeneous agent models
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
Autonomous multi-agent framework to optimize scientific software
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics