Library
pandas agent skills, page 2
pandas skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. | davila7/ | 32k | 10 repos | ~2k | Automated safety check: Pass | MIT | today |
| 50 | Handles vector geospatial data in Python with GeoPandas: reading shapefiles, GeoJSON and GeoPackage, reprojecting, spatial joins, overlays, clipping and maps. | davila7/ | 32k | 10 repos | ~1.8k | Automated safety check: Pass | MIT | today |
| 51 | Send IM messages to users in batch. An agent skill from Harryoung/efka. | Harryoung/ | 104 | — | ~512 | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 52 | 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/ | 358 | — | ~662 | Automated safety check: Pass | MIT | today |
| 53 | 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/ | 150 | — | ~2.1k | Automated safety check: Pass | MIT | today |
| 54 | Picks the right library for converting between CSV, XLSX, JSON, images, DOCX and PDF text, and lists the conversions that are not supported so the agent does not attempt them. | pipeshub-ai/ | 3.8k | — | ~865 | Automated safety check: Pass | Apache-2.0 | today |
| 55 | 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/ | 35k | — | ~482 | Automated safety check: Pass | MIT | today |
| 56 | 56.Dask Parallel/distributed computing. An agent skill from davila7/claude-code-templates. | davila7/ | 32k | 11 repos | ~3.5k | Automated safety check: Pass | MIT | today |
| 57 | Best practices for analytics, data analysis, and visualization using Python, pandas, matplotlib, seaborn, and Jupyter notebooks. | Mindrally/ | 268 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 58 | Checks that the tools and Python packages needed for a math modeling paper workflow are installed and offers platform-specific install commands for anything missing. | jihe520/ | 6.2k | — | ~1.5k | Automated safety check: Notes | No licence | 5 days ago |
| 59 | Instructions and guidance on writing tests. An agent skill from maread99/market_prices. | maread99/ | 106 | — | ~315 | Automated safety check: Pass | MIT | 23 days ago |
| 60 | 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/ | 358 | — | ~646 | Automated safety check: Pass | MIT | today |
| 61 | 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/ | 111 | 1 repo | ~2.5k | Automated safety check: Pass | No licence | 10 days ago |
| 62 | 62.Office XLSX Read, create, and modify Excel workbooks (.xlsx), including data, formulas, formatting, and pandas analysis. | singula-ai/ | 109 | 1 repo | ~2.3k | Automated safety check: Pass | MIT | 9 days ago |
| 63 | 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/ | 323 | — | ~1.6k | Automated safety check: Pass | MIT | 6 days ago |
| 64 | 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/ | 257 | — | ~8.5k | Automated safety check: Pass | MIT | 28 days ago |
| 65 | Generate an Excel (.xlsx) workbook or a CSV file: tables, financial models, data exports, formatted reports with charts. | theexperiencecompany/ | 308 | — | ~802 | Automated safety check: Pass | Unknown | today |
| 66 | Detects 15 classic candlestick patterns with vectorized pandas code and combines bullish and bearish scores into a long, short or flat trading signal. | HKUDS/ | 35k | — | ~468 | Automated safety check: Pass | MIT | today |
| 67 | Builds event-driven analysis for A-share companies: merger arbitrage spreads, shareholder buying and selling signals, equity incentives, placements and ST or delisting warnings; Chinese text. | HKUDS/ | 35k | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 68 | Scores news, announcements and macro events with the LLM, stores them in an event CSV and blends the decaying event signal with technical signals in signal_engine.py. | HKUDS/ | 35k | — | ~2.1k | Automated safety check: Pass | MIT | today |
| 69 | Evaluates mutual funds, private funds and ETFs by return, risk and risk-adjusted metrics, style box and drift, and manager quality, then builds FOF portfolios; Chinese text. | HKUDS/ | 35k | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 70 | Generates trading signals from the Ichimoku five-line system using Tenkan and Kijun crossovers, cloud position and cloud direction, implemented in pandas. | HKUDS/ | 35k | — | ~417 | Automated safety check: Pass | MIT | today |
| 71 | 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/ | 35k | — | ~868 | Automated safety check: Pass | MIT | today |
| 72 | 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/ | 35k | — | ~3.2k | Automated safety check: Pass | MIT | today |
| 73 | Ranks stocks by standardized factor scores (momentum, reversal, volatility, volume and valuation) and builds an equal-weight TopN portfolio with periodic rebalancing. | HKUDS/ | 35k | — | ~1k | Automated safety check: Pass | MIT | today |
| 74 | Trades mean reversion between two correlated instruments using the Z-score of their price ratio, going long one leg and short the other when the ratio stretches. | HKUDS/ | 35k | — | ~651 | Automated safety check: Pass | MIT | today |
| 75 | Reference of market rules for quant strategies: A-share price limits and T+1, Hong Kong and US trading rules, crypto policy and cross-border tax basics. | HKUDS/ | 35k | — | ~1.3k | Automated safety check: Pass | MIT | today |
| 76 | Generates long, short or flat trading signals from calendar patterns such as month-of-year and day-of-week effects, for any OHLCV price data. | HKUDS/ | 35k | — | ~573 | Automated safety check: Pass | MIT | today |
| 77 | 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/ | 35k | — | ~492 | Automated safety check: Pass | MIT | today |
| 78 | Mean-reversion signal engine that ranks historical volatility against its own recent history, going long in quiet regimes and exiting or shorting when volatility is high. | HKUDS/ | 35k | — | ~528 | Automated safety check: Pass | MIT | today |
| 79 | 79.Neurokit2 Builds and audits reproducible NeuroKit2 research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. | K-Dense-AI/ | 48k | 1 repo | ~3.9k | Automated safety check: Notes | MIT | 3 days ago |
| 80 | 80.Scvelo Performs RNA velocity analysis with scVelo from spliced and unspliced single-cell RNA counts. | K-Dense-AI/ | 48k | 1 repo | ~3.1k | Automated safety check: Pass | BSD-3-Clause | 3 days ago |
| 81 | World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. | alirezarezvani/ | 28k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | 1 mo ago |
| 82 | Panel data analysis with Python using linearmodels and pandas. | meleantonio/ | 641 | 2 repos | ~804 | Automated safety check: Pass | Unknown | 12 days ago |
| 83 | Automatically merge scattered Excel and CSV files, normalize column names, and extract structured tables from PDF, HTML, TXT, or Markdown documents. | Drchronx/ | 135 | — | ~671 | Automated safety check: Pass | Unknown | 4 mo ago |
| 84 | Finds co-moving assets and tests them for cointegration, with workflows for correlation studies, sector clustering, hedge ratios and pair-trading signals. | HKUDS/ | 35k | — | ~10k | Automated safety check: Pass | MIT | today |
| 85 | TRIGGER when user asks to create a microservice that calls Python, runs ML inference, or uses Python libraries (PyTorch, pandas, sentence-transformers, numpy) for its core compute. | microbus-io/ | 172 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | 10 days ago |
| 86 | Create charts, graphs, and map visualizations in Databricks Apps. | databricks-solutions/ | 183 | — | ~1.1k | Automated safety check: Pass | Unknown | 4 days ago |
| 87 | 87.Dask Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask. | K-Dense-AI/ | 48k | 1 repo | ~4.4k | Automated safety check: Notes | BSD-3-Clause | 3 days ago |
| 88 | 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/ | 883 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 89 | Performs exploratory data analysis, statistical analysis, and pattern discovery. | liangdabiao/ | 290 | — | ~2.1k | Automated safety check: Pass | No licence | 5 mo ago |
| 90 | Answers business questions about the user's own spreadsheet or data export (CSV, TSV, XLSX from a CRM, Shopify, Stripe, QuickBooks, ad platforms, HR or payroll systems) correctly and auditably. | OneWave-AI/ | 323 | — | ~2.2k | Automated safety check: Pass | MIT | 6 days ago |
| 91 | 91.Spreadsheet A skill your agent uses when tasks involve creating, editing, analyzing, or formatting spreadsheets (.xlsx, .csv, .tsv) using Python (openpyxl, pandas), especially when formulas, references, and… | davila7/ | 32k | 1 repo | ~1.3k | Automated safety check: Notes | Apache-2.0 | today |
| 92 | 92.Data Analyst Data analysis expert for statistics, visualization, pandas, and exploration | RightNow-AI/ | 18k | — | ~730 | Automated safety check: Pass | Apache-2.0 | 3 mo ago |
| 93 | 93.Polars High-performance DataFrame library for Python ETL, analytics, and pandas migration. | K-Dense-AI/ | 48k | 1 repo | ~3.3k | Automated safety check: Pass | MIT | 3 days ago |
| 94 | 94.Seaborn Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps. | K-Dense-AI/ | 48k | 1 repo | ~3.4k | Automated safety check: Notes | BSD-3-Clause | 3 days ago |
| 95 | 95.XLSX 全面的电子表格创建、编辑和分析功能,支持公式、格式化、数据分析和可视化。当 Claude 需要处理电子表格(.xlsx、.xlsm、.csv、.tsv 等)时使用,包括:(1) 创建带有公式和格式的新电子表格,(2) 读取或分析数据,(3) 修改现有电子表格同时保留公式,(4) 电子表格中的数据分析和可视化,或 (5) 重新计算公式 | LeastBit/ | 588 | — | ~1.5k | Automated safety check: Pass | Proprietary | 8 mo ago |
| 96 | 当代码涉及 Excel/CSV/JSON/PDF 大文件导出、批量序列化、内存里构建大对象时触发。防止 OOM、临时文件残留、同步导出阻塞 HTTP 线程等内存安全陷阱。 | doccker/ | 1.1k | — | ~1.9k | Automated safety check: Pass | Unknown | 1 mo ago |