coffeefuelbump/csv-data-summarizer
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
npx skills add https://github.com/coffeefuelbump/csv-data-summarizer-claude-skill/tree/main/skills/csv-data-summarizerAnalyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
End-to-end credit risk modeling workflow for application, behavior, collection, and anti-fraud risk models. Use when building, validating, comparing, or documenting scorecards, logistic regression, LightGBM, XGBoost/CatBoost/random forest, or other machine-learning credit models; when computing IV/WOE, KS, AUC, PSI, lift, score bands, OOT validation, feature importance, scorecard points, reject/approval strategies, or model development validation reports.
Create, modify, inspect, and validate STEP-first parametric CAD parts and assemblies. Use for natural-language CAD specs, reference images, 2D technical drawings, STEP/STP generation or direct inspection, Python CAD source, source-level joints, selector references, geometry facts, measurements, mating deltas, snapshots, and secondary STL/3MF/native GLB outputs from CAD geometry.
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
AI-powered image generation for Salesforce visuals via Nano Banana Pro. Use this skill when the user needs rendered PNG/SVG output such as visual ERDs (Entity Relationship Diagrams), UI mockups, wireframes, or architecture illustrations. TRIGGER when: user asks for PNG/SVG output, UI mockups, wireframes, visual ERDs, or says "generate image" / "create mockup". DO NOT TRIGGER when: text-based Mermaid diagrams (use generating-mermaid-diagrams), or non-visual documentation tasks.
Automate Dreamstudio tasks via Rube MCP (Composio). Always search tools first for current schemas.
Implement computer vision features including text recognition (OCR), face detection, barcode scanning, image segmentation, object tracking, and document scanning in iOS apps. Covers both the modern Swift-native Vision API (iOS 16+) and legacy VNRequest patterns, VisionKit DataScannerViewController for live camera scanning, and VNCoreMLRequest for custom model inference. Use when adding OCR, barcode scanning, face detection, or custom Core ML model inference with Vision.