🎯

plantuml-ascii

🎯Skill

from github/awesome-copilot

What it does

A community-curated collection of custom agents, prompts, instructions, and skills to enhance GitHub Copilot across different domains, languages, and use cases.

Overview

PlantUML ASCII is a skill from the Awesome GitHub Copilot collection that generates PlantUML diagrams and converts them to ASCII art representations. It enables AI agents to create architecture diagrams, sequence diagrams, class diagrams, and other UML visualizations directly as text-based output within the development environment.

Key Features

PlantUML Generation - Creates UML diagrams from natural language descriptions or code analysis
ASCII Art Output - Converts PlantUML diagrams to ASCII art for display in terminals and text-based environments
Multiple Diagram Types - Supports sequence diagrams, class diagrams, component diagrams, and activity diagrams
MCP Server Integration - Installable through the Awesome Copilot MCP Server for seamless editor integration
Community-Curated - Part of a comprehensive collection of skills organized around development, documentation, and architecture workflows

Who is this for?

This skill is designed for developers and architects who need to create and share UML diagrams without leaving their text-based development environment. It is particularly useful for teams working in terminal-heavy workflows or who need to include diagrams in code comments, README files, and documentation where image embedding is impractical.

📦

Same repository

github/awesome-copilot(224 items)

plantuml-ascii

Installation

Vibe Index InstallInstalls to .claude/skills/ - auto-recognized by Claude Code

npx vibeindex add github/awesome-copilot --skill plantuml-ascii

skills.sh Install⚠ Installs to .agents/skills/ - may not be auto-recognized by Claude Code

npx skills add github/awesome-copilot --skill plantuml-ascii

Manual InstallCopy SKILL.md content and save to the path below

~/.claude/skills/plantuml-ascii/SKILL.md

SKILL.md

7,127Installs

19,989

Last UpdatedJan 23, 2026

View on GitHub Back to Skills

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