How does it integrate with the SpecWeave framework?

All visualizations are automatically saved to the specific SpecWeave increment folder and can be synced directly into your project's living documentation using the sync-docs command.

Can I use this for business presentations?

Yes, the skill includes a specialized business reporting module that generates non-technical executive summaries, key performance indicators, and ROI calculations in HTML or PDF formats.

What types of plots can this skill generate?

It generates a wide range of plots including correlation heatmaps, ROC curves, confusion matrices, SHAP summaries, time series forecasts, and interactive Plotly charts.

Are the visualizations accessible and publication-ready?

Yes, it supports high-resolution exports (300 DPI), colorblind-friendly palettes, and high-contrast modes for professional presentations and academic publications.

Does it support interactive dashboards?

Absolutely, it features an InteractiveVisualizer for Plotly-based charts and a DashboardCreator for exporting configurations to Grafana or Plotly Dash apps.

SpecWeave Data Visualizer

Name: SpecWeave Data Visualizer
Author: anton-abyzov

byanton-abyzov

•

데이터 과학 및 ML

Automates the creation of publication-quality data visualizations and business reports for machine learning workflows.

The Data Visualizer skill streamlines exploratory data analysis and model evaluation by generating comprehensive, production-ready visual reports directly within the SpecWeave framework. It automates the generation of feature distributions, performance metrics like ROC curves and confusion matrices, and interactive dashboards, ensuring that every development increment is accompanied by clear, visual insights for both technical teams and business stakeholders. By integrating directly with your documentation and increment workflow, it eliminates the manual overhead of tracking model performance over time.

주요 기능

01Feature importance and SHAP summary visualizations for enhanced model explainability

02Seamless integration with SpecWeave increments and automated documentation synchronization

03Automated Exploratory Data Analysis (EDA) reports with distribution and correlation tracking

04Interactive Plotly dashboards and business-ready PDF/HTML executive summaries

0513 GitHub stars

06Comprehensive model performance metrics including ROC, Precision-Recall, and Residual analysis

사용 사례

01Generating deep-dive EDA reports to understand data patterns before model training

02Comparing performance metrics and feature importance across different model versions

03Creating executive summaries with business ROI metrics for non-technical stakeholders

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add anton-abyzov/specweave data-visualizer

For use in Claude.ai and ChatGPT

Download Skill