Skill UI

This guide details how to use OWASP Threat Dragon, an open-source tool, for comprehensive threat modeling. It enables security teams and developers to create data flow diagrams (DFD), identify potential vulnerabilities using standard methodologies like STRIDE and LINDDUN, and generate detailed threat reports. It is crucial for secure design review, risk assessment, and continuous security validation in DevSecOps pipelines.

A comprehensive tool for generating publication-quality figures essential for Machine Learning and AI academic papers. It supports two distinct workflows: generating complex system architecture and workflow diagrams using AI (Gemini), and creating precise, data-driven visualizations (line charts, heatmaps, etc.) using standard libraries like matplotlib and seaborn. Use it when preparing any figure for a conference submission.

Generate publication-quality, complex diagrams and method illustrations for academic papers. This advanced tool uses a multi-stage, supervised workflow involving Claude (for planning/review) and Gemini (for layout/style optimization). It ensures structural correctness, adherence to academic standards (like CVPR/NeurIPS style), and iteratively refines the output until a high quality score is achieved. Ideal for researchers needing professional visual aids.

Guides multi-round investigation of any GitHub repository, combining API queries, discovery searches, and deep dives to produce structured markdown reports with summaries, timelines, metrics tables, and Mermaid diagrams for executive-ready briefs.

Creates and edits Obsidian Flavored Markdown, covering frontmatter, wikilinks, embeds, callouts, math, diagrams, and other vault-specific syntax so notes render correctly when working in Obsidian or referencing its features.

This advanced prompt acts as a structured guide for generating comprehensive, enterprise-grade technical implementation plans. It forces the detailed breakdown of a feature based on a PRD, covering system architecture (Mermaid diagrams), database schema design, API specifications, frontend component hierarchy, and deployment strategies, all while adhering to a monorepo structure. Ideal for large-scale SaaS development.

A powerful tool that converts complex Unified Modeling Language (UML) diagrams—such as Sequence, Class, Activity, and State diagrams—into plain text ASCII art. This is crucial for documentation in environments that do not support image embedding, such as terminal sessions, README files, or Git commit messages. Supports both standard ASCII and enhanced Unicode ASCII formats for better visual fidelity.

Design, analyze, and refine Azure infrastructure through natural language prompts, generate interactive architecture diagrams locally with bundled scripts, and produce deployable Bicep templates to automate infrastructure-as-code workflows.

This skill analyzes Azure resource groups in depth, identifying all resources, their configurations, and complex interdependencies. It maps relationships—including network connections, data flows, and managed identities—to generate comprehensive, detailed Mermaid architecture diagrams. Use this when you need a clear, structured visualization and full documentation of an Azure environment's topology.

Generates a structured Epic architecture specification from a Product Requirements Document, guiding senior architects to capture high-level approaches, layered Mermeid diagrams, features, technical enablers, stack choices, and value estimates for TypeScript/Next.js monorepo projects.

Generates and edits draw.io (.drawio/.drawio.svg/.drawio.png) files via mxGraph XML, supporting templates, layout guidance, and the VS Code Draw.io extension so diagrams for flowcharts, architecture, UML, ER, sequences, and networks open without manual fixes.

Generates Excalidraw diagrams from natural language prompts, covering flowcharts, relationship maps, mind maps, architecture, data flow, swimlane, class, sequence, and ER diagrams for communicating processes and systems.