Python · Data analysis

Analyzes uploaded Excel and CSV files with SQL through DuckDB, producing schema inspections, statistical summaries and exports to CSV, JSON or Markdown.

bytedance/deer-flow

Analyzes Neuropixels recordings from SpikeGLX or Open Ephys through preprocessing, drift correction, Kilosort4 spike sorting, quality metrics and curation.

davila7/claude-code-templates

CUMCM 国赛、MCM/ICM 美赛与电工杯数学建模竞赛的端到端协作工作流。Use when a user explicitly works on one of these modeling contests or asks to run/review a modeling-competition paper from problem selection through modeling…

handsomeZR-netizen/mathmodel-skill

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

cortega26/chile-hub

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing.

zLanqing/codex-claude-academic-skills

Raccoon (小浣熊) Data Analysis - Remote code interpreter and data visualization service powered by SenseTime.

SenseTime-Copilot/raccoon-dataanalysis-skill

Takes a user through building a Meridian marketing mix model, from loading CSV data and mapping columns to running EDA, fitting and saving the model.

google/meridian

Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls.

Jeffallan/claude-skills

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

Convert a completed data-analysis conversation into evidence-backed, reproducible living research through the Krisk MCP server.

napjon/krisk

A skill your agent uses when you need to write and execute Python/R code to process, transform, and analyze data, delivering reproducible computational results with complete code-level methodology…

openJiuwen-ai/sciencediscovery

Generates Scenario Planner data from a fitted Meridian marketing mix model and prepares it for a Looker Studio dashboard through a Colab handoff.

google/meridian

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

Domain-validated pipeline guidance for EEG/MEG data analysis using MNE-Python: data loading, preprocessing (filtering, ICA, re-referencing), epoching, ERP/ERF computation, time-frequency…

NeuroAIHub/BrainPilot

Execute code in E2B sandboxes and integrate with LLMs for tool calling.

agent-sandbox/agent-sandbox

Best practices for multi-step Python tasks including data analysis, HuggingFace datasets, token counting, and any task requiring state across multiple python() calls.

A-EVO-Lab/a-evolve

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

Generate reproducible analysis artifacts — SQL queries, Python visualizations, and summary tables — as you work through a BigQuery data analysis.

warpdotdev/oz-skills

Queries the openFDA API from Python for drug, device, food and veterinary data: adverse events, recalls, labels, approvals, NDC and UNII lookups.

davila7/claude-code-templates

Processes physiological signals with NeuroKit2 in Python: ECG, PPG, EEG, EDA, respiration, EMG and EOG, including HRV, events and complexity measures.

davila7/claude-code-templates

Python interface to OpenMS for mass spectrometry data analysis.

davila7/claude-code-templates

Cleans raw or scraped competition data and produces exploratory charts and a figure plan as one stage of a mathematical modeling paper workflow.

yushui2022/MathModel-Skill

Installing and using common Python packages in SkillBench containers.

A-EVO-Lab/a-evolve

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

Consolidates BERTopic, LDA or NMF topic output into a theory-driven classification framework and writes the final labels back to an Excel file.

TyrealQ/q-skills

Handles vector geospatial data in Python with GeoPandas: reading shapefiles, GeoJSON and GeoPackage, reprojecting, spatial joins, overlays, clipping and maps.

davila7/claude-code-templates

Use dspy.RLM (Recursive Language Model) for reasoning over contexts too large to fit in an LLM's working window — entire codebases, long logs, massive documents, or multi-step data exploration that…

intertwine/dspy-agent-skills

Builds interactive Vega-Lite charts from uploaded data: analyzes the fields, picks five to ten fitting chart types, and produces a React artifact with the data embedded inline.

oaustegard/claude-skills

Plugin shim for the mathmodel-skill competition workflow. An agent skill from handsomeZR-netizen/mathmodel-skill.

handsomeZR-netizen/mathmodel-skill

Runs read-only MongoDB finds, aggregations and collection listings against databases named in your .env, choosing the connection by label or index.

evolution-foundation/evo-nexus

Detect an existing ML workspace or scaffold a fresh one via python -m skoreskills scaffold --package <pkg.

probabl-ai/skills

Use nteract notebooks as a persistent Python REPL. An agent skill from nteract/nteract.

nteract/nteract

Best practices for analytics, data analysis, and visualization using Python, pandas, matplotlib, seaborn, and Jupyter notebooks.

Mindrally/skills

Author and run CAO Python workflow scripts — multi-step, parameterized, fan-out orchestrations executed by cao workflow run.

awslabs/cli-agent-orchestrator

Read-only audit of one persisted skore report: audit/NN<stem.py (jupytext percent), 1:1 with experiments/ and journal/.

probabl-ai/skills

Owns data understanding before any model is designed. An agent skill from probabl-ai/skills.

probabl-ai/skills

Generates production-ready analysis code in Python, R, SQL. An agent skill from liangdabiao/claude-data-analysis-ultra-main.

liangdabiao/claude-data-analysis-ultra-main

A skill your agent uses to compute summary statistics (count/sum/mean/min/max) from a readings artifact, preserving the upstream source trace.

s0912758806p/agentic-sop-to-work

Research computing toolkit for optoelectronic information science and engineering, MATLAB/Octave, Python scientific analysis, signal processing, image processing, statistics, simulation…

zLanqing/codex-claude-academic-skills

A skill your agent uses for converting researched facts or user-provided data into structured tables by writing code, then running Python/pandas calculations in the job-scoped sandbox.

NVIDIA-AI-Blueprints/deep-researcher-agent

Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta).

google/skills

Azure Data Lake Storage Gen2 SDK for Python. An agent skill from aiskillstore/marketplace.

aiskillstore/marketplace

Estimates bivariate genetic correlation (rg) between traits from GWAS summary statistics or individual-level genotypes using cross-trait LDSC, HDL, LAVA, rho-HESS, GREML-bivariate, Popcorn, and HDL-L.

GPTomics/bioSkills

Estimates SNP heritability and partitions it across functional annotations, cell types, and loci from GWAS summary statistics or individual-level genotypes.

GPTomics/bioSkills

Performs gene-level association from GWAS summary statistics via genetically predicted tissue expression using FUSION, PrediXcan, S-PrediXcan, S-MultiXcan, UTMOST, MOSTWAS, kTWAS, EpiXcan, TIGAR-V2…

GPTomics/bioSkills

Azure Data Lake Storage Gen2 SDK for Python. An agent skill from microsoft/skills.

microsoft/skills

Computes linkage disequilibrium (r2, D', composite Rogers-Huff r2), prunes correlated variants, clumps GWAS summary statistics to lead SNPs, and defines haplotype blocks with PLINK 1.9/2.0 and…

GPTomics/bioSkills

End-to-end data analysis workflow in R or Python — from exploration through regression to publication-ready tables and figures.

brycewang-stanford/Auto-Empirical-Research-Skills