By tonone-ai
Designs, critiques, and audits data visualizations — selects chart types, provides rationale and code scaffolds (matplotlib/Plotly/Altair), runs exploratory data analysis with distribution checks and outlier detection, and detects misleading charts in existing codebases or notebooks.
Design or critique a data visualization — chart type selection, encoding, and clarity.
Design an exploratory data analysis workflow for a dataset.
Audit existing visualizations in a codebase or notebook — find misleading charts and quality issues.
Uses power tools
Uses Bash, Write, or Edit tools
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub tonone-ai/tonone --plugin tononeDesign a fine-tuning pipeline
Diagnose runtime infrastructure issues — cold starts, timeouts, scaling problems, network failures. Use when asked about "infra is slow", "cold starts", "network issues", "why is this timing out", "scaling problem", "latency spikes", or "service is down".
Write UX copy for a feature, flow, or component
Audit existing model evaluation code
Identify open legal questions and research gaps
Design or critique a data visualization
Create data visualizations and plots
Business analysis with data storytelling and KPI dashboard design
Designs effective KPI dashboards with proper metric selection, visual hierarchy, and data visualization best practices. Use when building executive dashboards, creating analytics views, or presenting business metrics.
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
Build Vizro dashboards from concept to deployment. Enforces a 2-phase workflow covering requirements, layout design, visualization selection, implementation with Python, and testing.