📊Reporting Skills
Browse the best Reporting skills for Claude Code, Codex, Cursor and other AI agents.
407 skills · Page 1 of 17
data-visualization
★ 93Comprehensive data visualization skill covering visual execution and technical implementation. Includes perceptual foundations, chart selection, layout algorithms, and library guidance. Load on-demand when building charts, graphs, dashboards, or any visual data representation.
data-pipeline
★ 51Orchestrate marketing data collection, transformation, and reporting workflows. Use when relevant to the task.
python-sandbox
在沙盒环境中执行Python代码，用于数据分析、可视化和生成Excel、Word、PDF等文件。支持数据清洗、统计分析、机器学习、图表生成、文档自动化等复杂工作流。
plotly
★ 14.5kInteractive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).
plotly
★ 3.0kInteractive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).
geopandas
★ 3.0kPython library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
matplotlib
★ 3.0kFoundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publication figures.
data-science
★ 1Expert data science guidance for analytics, data processing, visualization, statistical analysis, machine learning, and AI integration. Use when analyzing data, building ML models, creating visualizations, processing datasets, conducting A/B tests, optimizing metrics, or integrating AI features. Includes Python (pandas, scikit-learn), data pipelines, and model deployment.
data-visualization
Comprehensive data visualization skill covering visual execution and technical implementation. Includes perceptual foundations, chart selection, layout algorithms, and library guidance. Load on-demand when building charts, graphs, dashboards, or any visual data representation.
data-analysis
Analyze datasets using Python with pandas, numpy, and visualization libraries. Generates statistical summaries, identifies patterns, creates charts, and provides insights. Use when analyzing CSV/Excel files, exploring data, creating visualizations, or when users mention data analysis, statistics, charts, or datasets.
data-analysis
Perform comprehensive data analysis on datasets including statistical analysis,visualizations, and insights generation. Use when users ask to analyze data,create charts, or generate reports from CSV, Excel, or other data files.
matplotlib
★ 14.5kFoundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publication figures.
seaborn
★ 3.0kStatistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.
data-viz-plots
★ 783Create publication-quality plots and visualizations using matplotlib and seaborn. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
atlas14-spatial-variance
★ 35Analyze spatial variability of NOAA Atlas 14 precipitation frequency estimateswithin HEC-RAS model domains using intelligent extent-based downloading.Helps determine whether uniform rainfall assumptions are appropriate forrain-on-grid modeling by calculating min/max/mean/range statistics within2D flow areas or project extents.Uses NOAA CONUS NetCDF with HTTP byte-range requests for 99.9% data reductioncompared to traditional state-level ZIP downloads.Primary sources:- ras_commander/precip/CLAUDE.md (lines 118-629) - Complete workflows- ras_commander/precip/Atlas14Grid.py - API reference- ras_commander/precip/Atlas14Variance.py - Variance analysis API- examples/725_atlas14_spatial_variance.ipynb - Working demonstration
regression-analysis-modeling
★ 32Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests. Use when you need to predict continuous values like housing prices, sales forecasts, demand predictions, or any numerical target variables. Includes automated feature engineering, model comparison, and visualization with Chinese language support.
exploratory-data-analysis
★ 22EDA toolkit. Analyze CSV/Excel/JSON/Parquet files, statistical summaries, distributions, correlations, outliers, missing data, visualizations, markdown reports, for data profiling and insights.
time-series
★ 2ARIMA, SARIMA, Prophet, trend analysis, seasonality detection, anomaly detection, and forecasting methods. Use for time-based predictions, demand forecasting, or temporal pattern analysis.
freightclub-analysis
★ 1FreightClub/ShipStation Shipping Data Analysis v3.0 - Enhanced with Revenue Architect rubrics.Triggers on: "freightclub analysis", "shipping data analysis", "PLD analysis", "shipstation export"Use when: Customer provides shipping data export for rate analysis or FirstMile opportunity assessment.
d3js-visualization
★ 1Professional data visualization creation using D3.js with support for interactive charts, custom visualizations, animations, and responsive design. Use for: (1) Creating custom interactive charts, (2) Building dashboards, (3) Network/graph visualizations, (4) Geographic data mapping, (5) Time series analysis, (6) Real-time data visualization, (7) Complex multi-dimensional data displays
ai-data-analyst
★ 1Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create visualizations, or build predictive models with reproducible, code-based workflows.
retention-optimization-expert
★ 1Reduce churn and improve retention through cohort analysis, at-risk user identification, win-back campaigns, and customer success strategies. Generate comprehensive HTML reports with retention curves, health scores, churn analysis, and 90-day implementation roadmaps.
report-automation
★ 1Master enterprise reporting automation including scheduling, distribution, templates, governance, and monitoring
sustainability-esg
Sustainability and ESG expertise for ESG strategy, carbon footprint management, sustainable supply chains, circular economy, renewable energy, climate risk, and ESG reporting (GRI, SASB, TCFD). Use when building sustainability programs, measuring carbon impact, or creating ESG reports.