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Ketomihine AI Skills

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Browse published AI skills maintained by Ketomihine. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

46

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

46 skills

Browse skills

GitHub

mudata-complete

Ketomihine

MuData 多模态数据分析工具包 - 100%覆盖文档(API+教程+IO指南+核心功能)

GitHub

envi-pkg-local

Ketomihine

ENVI 本地文档+教程+源码 - 100%覆盖13个文件(Sphinx build + 手动转换 notebooks/py)

GitHub

liana-py-complete

Ketomihine

Liana-py 细胞互作分析工具包 - 100%覆盖文档(60个核心文件+72个图片文件)

GitHub

scglue-complete

Ketomihine

scGLUE 单细胞多组学数据整合工具包 - 100%覆盖文档(完整API+教程+数据整合+图谱分析)

GitHub

scanpy-complete

Ketomihine

Scanpy 单细胞分析工具包 - 100%覆盖文档(API+教程+预处理+分析+可视化)

GitHub

spatialdata

Ketomihine

SpatialData framework for handling spatial multi-modal and multi-scale data. Use this skill for questions about spatial omics data analysis, visualization, and the SpatialData Python ecosystem.

GitHub

scarches

Ketomihine

Comprehensive skill for scARCHES - Deep learning library for single-cell analysis of chromatin accessibility data. Use for scATAC-seq data processing, model training, batch correction, integration with scRNA-se...

GitHub

banksy

Ketomihine

BANKSY spatial transcriptomics analysis - comprehensive documentation with notebooks and API

GitHub

banksy-merged-v3

Ketomihine

BANKSY spatial transcriptomics analysis tool - complete documentation with notebooks and source code

GitHub

crewai

Ketomihine

When to use this skill: When you need help with CrewAI - building collaborative AI agents, crews, and workflows. Use for agent orchestration, task automation, multi-agent systems, flow management, and enterpris...

GitHub

scarches-complete

Ketomihine

scArches 单细胞深度学习参考图谱框架 - 100%覆盖文档(26个HTML文件,包含完整API、教程、模型训练、多模态整合)

GitHub

scvelo-complete

Ketomihine

scVelo RNA速度分析工具包 - 100%覆盖文档(78个文件:完整API+教程+动态建模+可视化)

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.