Data & Analytics · NumPy

Perform bounded, local exploratory analysis of explicitly supported scientific files.

Oleafly/Oleafly

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics.

Raidriar7170/hermes-skilleval

Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).

cortega26/chile-hub

Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.

lingzhi227/agent-research-skills

Runs a math modeling contest pipeline for CUMCM and MCM/ICM entries in Codex CLI, with git checkpoints, verified solver code and human review at each stage.

RealSeaberry/AutoMCM-Pro

Loads, cleans, aggregates and joins tabular data with pandas under a verification rule: every number reported must be one that the code actually printed.

pipeshub-ai/pipeshub-ai

Runs exploratory data analysis on tabular data after you confirm each column's measurement level, then writes CSV tables and a narrative summary.

TyrealQ/q-skills

Computes RDKit physicochemical descriptors and molecular fingerprints from SMILES through a uv-run CLI script that skips and logs invalid molecules.

jinzhezenggroup/computational-chemistry-agent-skills

Runs reproducible math computations and counterexample searches with SymPy, NumPy and mpmath, logging evidence without presenting results as proofs.

tradecatlabs/vibe-coding-cn

Builds, fits, checks and compares Bayesian models in PyMC, from priors and NUTS sampling to variational inference, LOO and WAIC comparison, and diagnostics.

davila7/claude-code-templates

Analyzes uploaded cohort data to compute retention curves and feature adoption trends, builds heatmaps and charts, and suggests qualitative follow-up research.

phuryn/pm-skills

Processes tabular datasets too large for RAM with Vaex: lazy DataFrames, fast aggregations, big-data plots and ML pipelines over CSV, HDF5, Arrow and Parquet.

davila7/claude-code-templates

Analyzes CSV, Parquet and JSON data with DuckDB, Polars, numpy and matplotlib, preferring a persistent kernel over repeated one-shot processes.

code-yeongyu/oh-my-openagent

Detects Elliott Wave structures in price data with a Zigzag swing finder and Fibonacci checks, and turns completed waves into long, short or flat signals.

HKUDS/Vibe-Trading

Chunked N-D arrays for cloud storage. An agent skill from davila7/claude-code-templates.

davila7/claude-code-templates

Parallel/distributed computing. An agent skill from davila7/claude-code-templates.

davila7/claude-code-templates

Parse FCS (Flow Cytometry Standard) files v2.0-3.1. An agent skill from davila7/claude-code-templates.

davila7/claude-code-templates

Zero-shot univariate time series forecasting using the Reverso foundation model (NumPy/Numba CPU-only inference).

oaustegard/claude-skills

Runs a math modeling competition entry end to end, in AI-led or human-led mode, with Git checkpoints and self-verified solver code before it enters the LaTeX paper.

RealSeaberry/AutoMCM-Pro

Detects 15 classic candlestick patterns with vectorized pandas code and combines bullish and bearish scores into a long, short or flat trading signal.

HKUDS/Vibe-Trading

Generates trading signals from the Ichimoku five-line system using Tenkan and Kijun crossovers, cloud position and cloud direction, implemented in pandas.

HKUDS/Vibe-Trading

Trains scikit-learn models with walk-forward validation on features from OHLCV data to predict return direction and turn the predictions into trading signals.

HKUDS/Vibe-Trading

Ranks stocks by standardized factor scores (momentum, reversal, volatility, volume and valuation) and builds an equal-weight TopN portfolio with periodic rebalancing.

HKUDS/Vibe-Trading

Guides your agent through unit-root, cointegration, GARCH, bootstrap and regression-diagnostic tests on financial time series, using a tested helper module.

HKUDS/Vibe-Trading

Builds a composite trading signal from three groups of classic indicators (trend, mean reversion, volume) voting long, short or flat, in plain pandas for OHLCV data.

HKUDS/Vibe-Trading

Reads, inspects, and writes Flow Cytometry Standard (FCS) 2.0, 3.0, and 3.1 files with FlowIO.

K-Dense-AI/scientific-agent-skills

World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics.

alirezarezvani/claude-skills

Builds the code for a frozen research experiment test-first, with leakage controls, seed handling and saved evidence so results can be rerun and audited.

Light0305/Light-skills

Finds co-moving assets and tests them for cointegration, with workflows for correlation studies, sector clustering, hedge ratios and pair-trading signals.

HKUDS/Vibe-Trading

Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask.

K-Dense-AI/scientific-agent-skills

GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster.

K-Dense-AI/scientific-agent-skills

Analyze CSV/JSON data with statistics, filtering, and aggregation.

EXboys/skilllite

A skill your agent uses when working with Dask Array: chunked NumPy-like arrays, dask.array.fromarray, chunk planning, slicing, mapblocks, blockwise, reductions, overlap, rechunking, generalized…

VectorSpaceLab/AREX-Skill

Production-ready genomics and epigenomics data processing for BixBench questions.

wu-yc/LabClaw

C-optimized technical analysis with 150+ functions and 61 candlestick pattern recognition functions via TA-Lib

agiprolabs/claude-trading-skills

Transform, clean, reshape, and preprocess data using pandas and numpy.

Microck/ordinary-claude-skills

Selects biomarker features from high-dimensional omics data using Boruta all-relevant selection, mRMR, LASSO/elastic-net, and stability selection, while controlling the leakage, irreproducibility…

GPTomics/bioSkills

Optimize Python code for reduced memory usage and improved memory efficiency.

benchflow-ai/skillsbench

Data structure for annotated matrices in single-cell analysis; use when reading/writing .h5ad (or zarr) and exchanging data with the scverse ecosystem.

aipoch/medical-research-skills

Parse/write FCS (Flow Cytometry) files v2.0-3.1. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills

Python image processing for microscopy and bioimage analysis.

jaechang-hits/SciAgent-Skills

Classical ML in Python: classification, regression, clustering, dim reduction, evaluation, tuning, preprocessing pipelines.

jaechang-hits/SciAgent-Skills

A skill your agent uses when building ML/AI apps in Rust. An agent skill from majiayu000/claude-skill-registry.

majiayu000/claude-skill-registry

Parse Flow Cytometry Standard (FCS) files v2.0–3.1 and extract events/metadata for preprocessing workflows (e.g., when you need NumPy arrays, channel info, or CSV/DataFrame export from cytometry…

aipoch/medical-research-skills

Python bridge to ImageJ2/Fiji for macros, plugins (Bio-Formats, TrackMate, Analyze Particles), NumPy↔ImagePlus/ImgLib2 exchange, and ImageJ Ops.

jaechang-hits/SciAgent-Skills

GPU optimization for consumer NVIDIA GPUs (8-24GB VRAM) covering mixed precision, gradient checkpointing, XGBoost GPU, CuPy/cuDF migration, and torch.compile.

Mathews-Tom/armory

A skill your agent uses for MLAlgorithms (mla) educational machine-learning implementations: classical estimators, clustering/reduction, metrics, NeuralNet building blocks, and DQN examples.

VectorSpaceLab/AREX-Skill

GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT.

majiayu000/claude-skill-registry