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documentation scientific computing AI Skills

Discover documentation scientific computing skills, compare source repositories and read the instructions for each workflow.

Categories: documentation scientific computing

Showing 913–926 of 926

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GitHub

brainstorm-skills

cedricfressin

Deep iterative research using progressive flow psychology (diverge-analyze-converge-execute) with parallel agents, skeptical analysis, and multi-perspective synthesis. Use for thorough topic exploration, decisi...

GitHub

research-expert

mahamaneharouna9-cpu

Specialized research expert for parallel information gathering. Use for focused research tasks with clear objectives and structured output requirements.

GitHub

data-analysis

BOHUYESHAN-APB

A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).

GitHub

forcefield-selection

CharlesHahn

为不同分子体系(蛋白质、脂质膜、有机小分子、碳水化合物等)选择合适的力场和水模型。使用此技能来获取 MD 模拟中的力场推荐,包括蛋白质、核酸、脂质、有机小分子、碳水化合物、无机离子等体系。当用户需要为特定体系选择力...

GitHub

packmol

Chenghao-Wu

This skill should be used when the user asks to "create a packmol input", "pack molecules with packmol", "solvate a protein", "build an initial configuration", "setup molecular dynamics", or discusses molecular...

GitHub

protein-analysis

CharlesHahn

蛋白质 MD 模拟的高级分析,包括周期性边界条件校正、动态互相关矩阵(DCCM)、残基距离接触矩阵(RDCM)、主成分分析(PCA)和自由能形貌图(FEL)。使用此技能来指导蛋白质模拟后的数据分析流程。当用户需要进行蛋白质 MD 分...

GitHub

genetics-selfdecode-lookup

tsilva

Look up SNP genotypes from SelfDecode (imputed genetics data). Requires JWT token from browser. Use for expanded SNP coverage beyond 23andMe raw data. Triggers on "check selfdecode for rs...", "selfdecode looku...

GitHub

debug

cedricfressin

Systematic error debugging with analysis, solution discovery, and verification

GitHub

poc

lixxz

Structured proof-of-concept exploration with hypothesis testing and reproducible experiments

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.

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