Skill UI

Automates guidance for creating architecture diagrams and visual documentation, following best practices and producing ready-to-use configurations for charts, presentations, and visualization tools.

Prepares codebases for Trail of Bits security reviews by setting goals, running static analysis, expanding test coverage, pruning dead code, documenting build scope/access, and generating flowcharts, user stories, glossaries, and other reviewer-ready artifacts.

Prepares codebases for Trail of Bits security reviews by setting goals, running static analysis, expanding test coverage, pruning dead code, documenting build scope/access, and generating flowcharts, user stories, glossaries, and other reviewer-ready artifacts.

An expert tool for generating comprehensive C4 Code-level documentation. It analyzes existing code directories to automatically extract and document critical architectural details, including function signatures, class definitions, method dependencies, and internal data flows. It supports generating various Mermaid diagrams (classDiagram, flowchart) to visualize complex system components, ensuring accurate and maintainable technical documentation.

Automates Chart.js configuration workflows with best-practice guidance, code generation, and validation so you can quickly build diagrams, presentations, and other visual content when requesting a chart js config creator.

Automatically activates when chart type recommender needs arise, guiding data analysts through SQL, visualization, statistics, and BI patterns to deliver production-ready recommendations.

This skill provides comprehensive guidance on leveraging d3.js (Data-Driven Documents) to create sophisticated, interactive, and publication-quality data visualizations. It covers core concepts like data binding, implementing various chart types (network graphs, geo-maps, etc.), handling complex transitions, and ensuring responsiveness across modern JavaScript frameworks (React, Vue, Vanilla JS). Learn the standard workflow for scale definition, axis creation, and drawing custom visual elements with fine-grained control.

Transforms raw datasets into charts, plots, and graphs by analyzing structure, picking suitable visualization types, and rendering them clearly so users can request visualizations or explore patterns and relationships.

Automates D2 diagram creation guidance for visual content requests, offering best practice patterns, ready-to-use code/config snippets, and validation against standards whenever users mention the tool or need chart/diagram support.

Blueprint for designing GitHub Actions-powered CI/CD pipelines that leverage Docker multi-stage builds, Helm chart environments, ArgoCD GitOps, Kubernetes manifests, and monitoring best practices to keep deployments reliable across teams.

A comprehensive skill for creating, editing, and automating vector graphics and technical diagrams using LibreOffice Draw. It supports the native ODG format and facilitates seamless format conversion between ODG, SVG, PDF, PNG, and JPG. Ideal for generating flowcharts, organizational charts, and technical schematics, and for batch processing graphics operations via command-line or Python UNO scripting.

Generates Excalidraw diagrams from natural-language prompts, turning requests such as “make a flowchart” or “draw a system architecture” into ready-to-open .excalidraw JSON files for flows, relationships, mind maps, and architectures.