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documentation scientific computing AI 技能

发现 documentation scientific computing 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: documentation scientific computing

显示第 865–888 个,共 926 个

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GitHub

deep-research

Who-Visions

Conducts rigorous academic research and document analysis using Gemini's advanced control features (Logprobs, Citations, Long Context).

GitHub

research

blackpwnguin

Comprehensive research, analysis, and content extraction system. Multi-source parallel research using available researcher agents. Deep content analysis with extended thinking. Intelligent retrieval for difficu...

GitHub

data-analysis

IHKREDDY

Analyze datasets using Python with pandas, numpy, and visualization libraries. Generates statistical summaries, identifies patterns, creates charts, and provides insights. Use when analyzing CSV/Excel files, ex...

GitHub

composition-ai-research

nategarelik

Research product compositions using AI and web sources. Use when needing to find what products, substances, or objects are made of - including ingredients, materials, chemicals, and elements. Essential for buil...

GitHub

physical-ai-expert

Fatima367

Provides specialized knowledge and content creation for Physical AI and Humanoid Robotics topics with focus on accuracy and peer-reviewed sources.

GitHub

independent-research

audunstrand

Research-driven investigation skill for validating solutions and exploring documentation. Never ask questions you can answer yourself through research. Use WebFetch, WebSearch, and testing to validate ideas bef...

GitHub

codex-thinkdeep

kanlanc

Use for deep multi-step investigation and analysis with Codex. Triggers on "codex deep analysis", "investigate with codex", "codex thorough investigation", "have codex think deeply".

GitHub

mouse-movement

blueif16

Human-like mouse movement patterns. Use when automating browser interactions to avoid bot detection.

GitHub

bioinformatics-experiment

dakesan

This skill should be used when conducting bioinformatics research, planning experiments, running analyses, or managing scientific projects. Triggers include requests like "研究を始める", "実験する", "新しい実験...

GitHub

banksy-merged-v4

Ketomihine

BANKSY spatial transcriptomics analysis tool - complete documentation with precise file name-based categorization

GitHub

scvitools

Ketomihine

Comprehensive skill for scvi-tools - Deep probabilistic models for single-cell omics analysis. Use for scVI, scANVI, totalVI, MultiVI models, single-cell RNA-seq integration, batch correction, differential expr...

GitHub

cellphonedb

Ketomihine

Comprehensive skill for CellPhoneDB - Database of cell type markers and cell-cell communication analysis for single-cell data. Use for cell type annotation, ligand-receptor analysis, cell-cell interaction infer...

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

nqs-sqd-research

thc1006

Deep technical assistant for projects that combine Neural Quantum States (FFNN and Transformer-based) with Sample-based Quantum Diagonalization (SQD). Trigger this skill whenever the task involves: (1) designin...

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