Generate ASCII art diagrams from PlantUML text syntax for terminal and documentation use.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add github/awesome-copilot --skill plantuml-asciiCompatible with
Supported agents
Supports six diagram types: sequence, class, activity, state, component, use case, and deployment diagrams
Two output formats: pure ASCII ( -txt ) and Unicode-enhanced ASCII ( -utxt ) with box-drawing characters for improved readability
Works with PlantUML installation or standalone JAR; outputs to .atxt or .utxt files ready for terminals, READMEs, and version control
Command-line options inc
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionplantuml-asciiExecute the skills CLI command in your project's root directory to begin installation:
epx add github/awesome-copilot --skill plantuml-asciiFetches plantuml-ascii from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/plantuml-ascii
Restart Cursor to activate plantuml-ascii. Access via /plantuml-asciiin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
git-commit
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Keeps context tight: plantuml-ascii is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added plantuml-ascii from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: plantuml-ascii is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend plantuml-ascii for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
plantuml-ascii has been reliable in day-to-day use. Documentation quality is above average for community skills.
plantuml-ascii reduced setup friction for our internal harness; good balance of opinion and flexibility.
plantuml-ascii has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: plantuml-ascii is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: plantuml-ascii is focused, and the summary matches what you get after install.
Registry listing for plantuml-ascii matched our evaluation — installs cleanly and behaves as described in the markdown.
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