Data & Analytics · pandas

Creates, edits and analyzes spreadsheets (.xlsx, .xlsm, .csv, .tsv) with openpyxl and pandas, writing live formulas and recalculating to confirm zero formula errors.

anthropics/skills

Statistical visualization with pandas integration. An agent skill from zLanqing/codex-claude-academic-skills.

zLanqing/codex-claude-academic-skills

Diagnose and fix ModuleNotFoundError in Nuitka standalone binaries caused by missing implicit imports.

Nuitka/Nuitka

A skill your agent uses when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas.

vemetric/vemetric

Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.

coffeefuelbump/csv-data-summarizer-claude-skill

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

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

cortega26/chile-hub

Analyze event logs, clickstreams, user paths, product funnels, retention, behavioral segments, transition graphs, step matrices, sequence patterns, and customer journeys using Retentioneering.

retentioneering/retentioneering-tools

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

Raidriar7170/hermes-skilleval

Builds, edits, cleans, recalculates and reads Excel workbooks and CSV files with openpyxl and pandas, plus LibreOffice for recalculation and PDF export.

XiaomiMiMo/MiMo-Code

Meerschaum release process — bump version, update changelog, stage dev→main PR, run CI, publish to PyPI, tag, GitHub release, build/push Docker images, rebuild docs on prod VPS.

bmeares/Meerschaum

Queries the data warehouse with SQL and answers business questions about data.

astronomer/agents

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

Build an auditable release-evidence workflow for a desktop or packaged application.

Ali-Marandi/ClimateDataAnalyzer

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

Reads screenshots of brokerage or portfolio transaction tables, checks the rows for duplicates and prints lines you can paste into your operations file by hand.

guilhermecgs/ir

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

Works with datasets far too big to download or load in pandas — SQL over remote Parquet with DuckDB, aggregate-then-model, iterate on samples.

flyrank-bih/flyrank-ml-internship-starter

Extracts pixel, video-frame, speech, music and visual-semantic features from image, video and audio files for research datasets, using local tools or the Gemini API.

TyrealQ/q-skills

Finds duplicate and junk records in a CRM CSV export with fuzzy matching, normalizes fields and writes a reviewable merge plan plus import-ready files without touching the live CRM.

OneWave-AI/claude-skills

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

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

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

Runs differential gene expression analysis on bulk RNA-seq counts with PyDESeq2: design formulas, Wald tests, FDR correction and volcano or MA plots.

davila7/claude-code-templates

Detects Chan theory price structures (fractals, strokes, pivots) and first, second and third buy and sell points from OHLCV bars using the czsc library, in Chinese.

HKUDS/Vibe-Trading

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

Work with Data Commons, a platform providing programmatic access to public statistical data from global sources.

davila7/claude-code-templates

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

davila7/claude-code-templates

Send IM messages to users in batch. An agent skill from Harryoung/efka.

Harryoung/efka

Produces a full business health analysis from sales, finance, inventory and customer CSV files: core KPIs, monthly trends, drill-downs and recommendations.

zj-unicom-ai/UniEmployee

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

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

davila7/claude-code-templates

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

Mindrally/skills

Instructions and guidance on writing tests. An agent skill from maread99/market_prices.

maread99/market_prices

Analyzes insurance operating data such as premium, loss ratio, renewal rate and expense ratio by branch, product and channel, flags anomalies and builds an HTML dashboard.

zj-unicom-ai/UniEmployee

Performs exploratory data analysis, statistical analysis, and pattern discovery.

liangdabiao/claude-data-analysis-ultra-main

Excel 数据分析多步编排器。覆盖：(1) 读取多 Sheet Excel 文件并统计行数，(2) 大文件检测（≥10k 行自动 Parquet 优化），(3) 数据清洗（缺失值、文本标准化、无效字符），(4) 条件筛选与分类提取，(5) 跨 Sheet 统计聚合，(6) 导出 Excel/CSV 并提供下载链接。覆盖从数据读取到报告生成全流程，按步骤编排 capability 子…

MichaelYang-lyx/AIDABench

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

Combines CSV, TSV and Excel files into one verified table with pandas, by stacking or joining, mapping columns, normalizing keys and removing duplicates.

OneWave-AI/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

Fetches minute candlesticks from OKX, Tushare or yfinance, computes intraday VWAP, TWAP and volume distribution, and runs minute-level backtests by setting an interval in config.json.

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

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

Builds and audits reproducible NeuroKit2 research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity.

K-Dense-AI/scientific-agent-skills