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Data & Analytics
Data analysis, BI, visualization, datasets, statistics, and ML workflows
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Showing 11,809–11,832 of 12,625 skills
- RiskUnified risk engine with VaR, stress testing, volatility regimes, and automated controlsVotes: 0GitHub stars: 2,496
- PredictitPredictIt political prediction market (read-only)Votes: 0GitHub stars: 2,496
- PortfolioTrack your positions and P&L across prediction markets and futures exchangesVotes: 0GitHub stars: 2,496
- NewsMonitor news and correlate with prediction market movementsVotes: 0GitHub stars: 2,496
- LedgerTrade decision audit trail and statisticsVotes: 0GitHub stars: 2,496
- IntegrationsExternal data sources, connectors, and custom data streamsVotes: 0GitHub stars: 2,496
- FeaturesReal-time market features and trading signalsVotes: 0GitHub stars: 2,496
- BacktestTest trading strategies on historical data with Monte Carlo simulationVotes: 0GitHub stars: 2,496
- ArbitrageAutomated cross-platform arbitrage detection and monitoringVotes: 0GitHub stars: 2,496
- AnalyticsPerformance attribution, trade analytics, and strategy optimizationVotes: 0GitHub stars: 2,496
- Financial Data VisualizationPatterns for building dark-themed financial charts and data visualizations. Covers chart theming, color scales for gains/losses, and real-time data display. Use when building trading dashboards or financial analytics. Triggers on chart theme, data visualization, financial chart, dark theme, gains losses, trading UI.Votes: 0GitHub stars: 11
- Data AnalysisData processing, analysis, and visualization with Python/JavaScript. Use for data exploration, pandas operations, chart generation, and insights extraction.Votes: 0GitHub stars: 33
- Scientific Data ExtractionExtract structured data from scientific literature across multiple formats (PDF, HTML, images, plain text). Auto-detects scientific domain to recommend specialized tools for chemistry/materials when appropriate. Use this skill when: extracting numerical data from papers, digitizing graphs/plots, parsing tables from PDFs, extracting chemical properties or reactions, or converting unstructured scientific text to structured formats. Key capabilities: format detection and routing, domain-specif...Votes: 0GitHub stars: 36
- Python Regression StatisticsExpert guidance for regression analysis, statistical modeling, and outlier detection in Python using statsmodels, scikit-learn, scipy, and PyOD - includes model diagnostics, assumption checking, robust methods, and comprehensive outlier detection strategiesVotes: 0GitHub stars: 36
- Python PlottingComprehensive plotting and visualization in Python - matplotlib (static publication-quality plots), seaborn (statistical visualization), and plotly (interactive plots); includes plot types, customization, best practices, and library selection guidanceVotes: 0GitHub stars: 36
- PymatgenComprehensive guidance for using pymatgen (Python Materials Genomics) for computational materials science. Covers structure creation and manipulation, file I/O (CIF, POSCAR, XYZ), symmetry analysis, Materials Project API integration, phase diagrams, electronic structure analysis, and DFT input generation. Use when working with crystal structures, materials properties, computational chemistry calculations, or materials databases. Triggers include 'pymatgen', 'crystal structure', 'Materials Pro...Votes: 0GitHub stars: 36
- PycalphadExpert guidance for pycalphad - computational thermodynamics library implementing the CALPHAD method for calculating phase diagrams, phase equilibria, and thermodynamic properties of multicomponent materials systems using thermodynamic databases (TDB files)Votes: 0GitHub stars: 36
- FairchemExpert guidance for Meta's FAIRChem library - machine learning methods for materials science and quantum chemistry using pretrained UMA models with ASE integration for fast, accurate predictionsVotes: 0GitHub stars: 36
- Rerun UtilsStatic 3D visualization utilities wrapping Rerun SDK for adding point clouds, trajectories, cameras, planes, and chessboards. Use when visualizing 3D data in Rerun, including SLAM trajectories, robot poses, camera calibration targets, and debug visualizations. All methods are static and do not require viewer instance management. For SE(3)/SO(3) matrix operations, use pywayne-vio-se3 or pywayne-vio-so3 skills.Votes: 0GitHub stars: 8
- Pangolin Utils3D visualization toolkit wrapping Pangolin viewer for real-time display of point clouds, trajectories, cameras, planes, chessboards, and images. Use when visualizing sensor data (IMU, SLAM, tracking), robot states, or any 3D data with camera poses and trajectories. Supports dual-image display, step mode for debugging, and main camera following.Votes: 0GitHub stars: 8
- DspDigital signal processing toolkit for filtering, peak detection, detrending, and curve similarity. Use when working with sensor data, signal preprocessing, feature extraction, noise suppression, or time-series analysis. Includes Butterworth filter, One-Euro filter, signal detrending, DTW curve similarity, Welford standard deviation, and sliding window extrema detection.Votes: 0GitHub stars: 8
- GitstatsAnalyze and visualize Git commit time distribution. Use when users need to analyze Git repository commit patterns, generate commit statistics, visualize commit activity by time, hour, or weekday. Triggered by requests to analyze commits, show commit distribution, visualize Git activity, or generate commit time statistics.Votes: 0GitHub stars: 8
- 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Votes: 0GitHub stars: 570
- XlsxWork with Excel spreadsheets (XLSX/XLS/CSV) - read data, create spreadsheets, convert formats, analyze data, and generate reports. Use when the user asks to work with Excel files or spreadsheet data.Votes: 0GitHub stars: 8