image-generation

Generate diagrams, charts, and visual assets for security documentation.

5|Updated Jan 12, 2026

Search Tags:#workflow #visualization #matplotlib #generate #Graphviz #security-diagrams #network-diagrams

Ready to run

npx skills add https://github.com/SherifEldeeb/agentskills --skill image-generation-sherifeldeeb

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: image-generation
Source: https://github.com/SherifEldeeb/agentskills/tree/main/skills/baseline/image-generation
Command: npx skills add https://github.com/SherifEldeeb/agentskills --skill image-generation-sherifeldeeb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires matplotlib, numpy, pillow, graphviz, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps security teams quickly produce visuals—diagrams, charts, and data visuals—for reports, assessments, and presentations, reducing manual drafting time.

Core Features & Use Cases

Diagrams: Network topology and architecture visuals.
Charts: Bar, line, pie charts and heatmaps for trends and findings.
Flowcharts: Process and workflow diagrams for IR playbooks.
Risk matrices and timelines: Visual risk and event sequences for reports.
Dashboard export: PNG, SVG, and PDF formats for easy sharing.
Quick Start: See the Quick Start example below to generate visuals from data.

Quick Start

Use the image-generation skill to create a network diagram from a simple node/edge specification.

Frequently Asked Questions about image-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate network diagrams and security architecture visuals from data?▼

To generate security visuals and diagrams from data, you can use a Python-based workflow that processes node and edge specifications to produce network topology, architecture diagrams, and risk matrices. It outputs visuals directly for security documentation.

What is the best way to create incident response flowcharts and risk matrices for security reports?▼

The best way to create incident response flowcharts and risk matrices is by automating the visualization process with Python libraries. This approach transforms raw security data into process workflows and visual risk sequences, reducing manual drafting time.

Can I use matplotlib and graphviz to export security diagrams as PDF or SVG files?▼

Yes, you can use matplotlib and graphviz to export security diagrams as PDF or SVG files. The visualization workflow supports exporting generated charts, network diagrams, and flowcharts into PNG, SVG, and PDF formats for easy sharing in dashboards or presentations.

Do I need Python 3.9 and external libraries like pillow to visualize security documentation?▼

Yes, you need Python 3.9+ and external libraries including pillow, matplotlib, numpy, and graphviz to visualize security documentation. These dependencies are required to process the data and generate the visual assets for your reports.

How do I create heatmaps and trend charts for security findings from raw data?▼

You create heatmaps and trend charts for security findings by feeding raw assessment data into a Python visualization workflow. The system leverages matplotlib and numpy to plot bar, line, pie charts, and heatmaps, effectively visualizing trends for presentations.

Does generating architecture visuals with Python work for large security assessments?▼

Generating architecture visuals with Python works for large security assessments by programmatically processing extensive node and edge datasets. This automated visualization approach scales to handle complex network topologies and comprehensive risk matrices without manual drawing limits.