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Agent Skills with tag: numpy

9 skills match this tag. Use tags to discover related Agent Skills and explore similar workflows.

zarr-python

Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.

numpydaskxarraycloud-storage
ovachiever
ovachiever
81

flowio

Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.

flow-cytometryfcsdata-preprocessingnumpy
ovachiever
ovachiever
81

dask

Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.

distributed-computingparallel-processingpandasnumpy
ovachiever
ovachiever
81

rosetta-helix-substrate

Consciousness simulation framework with Kuramoto oscillators, APL operators, and K-formation dynamics. Use for physics simulations, phase transitions, coherence analysis, and cloud training via GitHub Actions. Requires numpy and requests packages.

consciousness-simulationphysics-simulationphase-transitionsnumpy
AceTheDactyl
AceTheDactyl
1

Pandas Data Analysis

Master data manipulation, analysis, and visualization with Pandas, NumPy, and Matplotlib

pandasdata-analysisnumpymatplotlib
pluginagentmarketplace
pluginagentmarketplace
1

python-analytics

Python data analysis with pandas, numpy, and analytics libraries

pythonpandasnumpydata-preprocessing
pluginagentmarketplace
pluginagentmarketplace
1

python-programming

Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipulation, or algorithm implementation.

pythonpandasnumpydata-analysis
pluginagentmarketplace
pluginagentmarketplace
21

data-analyst

데이터 분석 전문가. pandas, numpy, 시각화, 통계 분석 지원.

pandasnumpydata-visualizationstatistical-analysis
mdpman2
mdpman2
7

flowio

Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.

pythonnumpyflow-cytometryfcs
K-Dense-AI
K-Dense-AI
3,233360