“data visualization”

Specifies what questions a dashboard must answer and the metrics, visualizations, filters, and data sources it needs, so data teams build something that…

Review chart choice, labeling, accessibility, and storytelling quality for existing visualizations.

MCP server for data visualization with Mermaid charts.

MCP server for data visualization with Mermaid charts.

Create publication figures with matplotlib/seaborn/plotly.

Create any Mermaid diagram (flowchart, sequence, class, state, ER, C4, architecture, gantt, mindmap, timeline, pie, sankey, and 20+ more) from a description…

Generate self-contained HTML visualizations with Plannotator theming.

DBCode - SQL & Database Client for Postgres, MySQL, MongoDB & more

dbcode

Database client for VS Code, Cursor, Windsurf, Antigravity & Kiro - and the database layer for your AI agent, with built-in MCP & Copilot tools.

Use this skill when designing presentations, slide decks, or pitch materials.

Data analysis across SQL, visualization, statistics, and reporting.

Verify visual work with evidence instead of vibes — screenshot critique by a fresh judge, before/after comparison, crops of the disputed detail, and a…

Guides configuration and execution of a generated SPViz difference visualization for two compatible project model revisions.

Generate branded chart, graph, analytics, KPI, and data infographic images with Egaki and ChatGPT Image.

Create distinctive, crafted TUI components for pi using @earendil-works/pi-tui and @earendil-works/pi-coding-agent.

Elite Data Scientist skill with expertise in statistical analysis, predictive modeling, experimental design (A/B testing), feature engineering, and data…

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing.

Production pipeline for interactive and generative visual art using p5.js.

Build polished, interactive analytics dashboards for any data source.

Insecure deserialization to RCE for web apps.

Transform data into compelling narratives using visualization, context, and persuasive structure.

Turn molecular and protein analysis results into declarative property charts and residue-level sequence tracks.

Use to explain data science work visually with compact data-lineage diagrams, model sketches, validation timelines, uncertainty tables, notebook maps, and…

Design-to-code artifact pipeline for UI screenshots, Figma node data, and visual review.

A workflow for conducting rigorous, reproducible data investigations and ad-hoc analyses.