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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.

Deep probabilistic analysis of single-cell and spatial omics data

  • scrna-seq
  • variational-bayes
  • variational-autoencoder
  • cite-seq

Kapowarr is a software to build and manage a comic book library, fitting in the *arr suite of software.

  • comic
  • comic-downloader
  • comicbook
  • comics

Spatial Single Cell Analysis in Python

  • single-cell-rna-seq
  • single-cell-genomics
  • spatial-transcriptomics
  • spatial-analysis

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.

A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

Solve nonlinear heterogeneous agent models

  • economics
  • economics-models
  • nonlinear-dynamics
  • hank

PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).

  • deep-generative-model
  • deep-learning
  • single-cell-data-integration
  • single-cell-multiomics

Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics