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Plantuml

Community
xenodium
plantuml

This skill should be used when the user invokes "/plantuml" to create a diagram from the current context using PlantUML and output the resulting image path.

Overview

Publisherxenodium
Repositoryemacs-skills
Skill nameplantuml
Stars
148
Forks
18
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by xenodium on GitHub. Read the source before you install it.

Installation

Install the Plantuml AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/xenodium/emacs-skills/tree/main/skills/plantuml
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/xenodium/emacs-skills.git /tmp/emacs-skills
mkdir -p .claude/skills
cp -r /tmp/emacs-skills/skills/plantuml .claude/skills/plantuml
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Plantuml in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Plantuml on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Plantuml is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Create diagrams with PlantUML

Create a diagram from the most recent interaction context using PlantUML. Generate a PNG image with a transparent background and output it as a markdown image so it renders inline.

How to create a diagram

  1. Extract or derive diagrammable data from the current context.
  2. If the Emacs foreground color is not already known from a previous diagram in this session, query it:
    sh
    emacsclient --eval '
    (face-foreground (quote default))'
    This returns a hex color like "#eeffff". Reuse it for all subsequent diagrams.
  3. Write a PlantUML file to a temporary file using that color.
  4. Run PlantUML on the file.
  5. Output the result as a markdown image on its own line:
    ![description](/tmp/agent-diagram-XXXX.png)
sh
plantuml -tpng /tmp/agent-diagram-XXXX.puml

PlantUML template

plantuml
@startuml
skinparam backgroundColor transparent
skinparam shadowing true
skinparam roundcorner 10
skinparam defaultFontName "Helvetica"
skinparam defaultFontColor #eeffff

' Set foreground color on all element types
skinparam titleFontColor #eeffff
skinparam sequenceLifeLineBorderColor #eeffff
skinparam sequenceArrowColor #eeffff
skinparam sequenceGroupHeaderFontColor #eeffff
skinparam sequenceGroupBorderColor #eeffff
skinparam sequenceDividerFontColor #eeffff
skinparam sequenceDividerBorderColor #eeffff
skinparam actorBorderColor #eeffff
skinparam actorFontColor #eeffff
skinparam participantFontColor #eeffff
skinparam participantBorderColor #eeffff
skinparam collectionsFontColor #eeffff
skinparam collectionsBorderColor #eeffff
skinparam noteFontColor #eeffff
skinparam noteBorderColor #eeffff
skinparam arrowFontColor #eeffff
skinparam classFontColor #eeffff
skinparam classBorderColor #eeffff
skinparam classAttributeFontColor #eeffff
skinparam packageFontColor #eeffff
skinparam packageBorderColor #eeffff
skinparam componentFontColor #eeffff
skinparam componentBorderColor #eeffff
skinparam interfaceFontColor #eeffff
skinparam interfaceBorderColor #eeffff

' ... diagram content ...
@enduml

Rules

  • Query the Emacs foreground color once per session and reuse it for all subsequent diagrams. Only query again if the color is not already known.
  • Always use skinparam backgroundColor transparent for transparent background.
  • Always use a timestamp in the filename (e.g., /tmp/agent-diagram-$(date +%s).png). Never use descriptive names.
  • Set the queried foreground color on defaultFontColor and all relevant skinparam entries for borders, arrows, and text so the diagram is readable on the user's Emacs background.
  • After PlantUML runs successfully, output a markdown image (![description](path)) on its own line.
  • Choose an appropriate diagram type for the data (sequence, class, component, activity, state, etc.).
  • Include a title when it adds clarity.
  • If no diagrammable data exists in the recent context, inform the user.

Frequently asked questions

What does the Plantuml AI skill do?

This skill should be used when the user invokes "/plantuml" to create a diagram from the current context using PlantUML and output the resulting image path.

Why use Plantuml on TypingMind?

Because you install it once and use it with any model. Plantuml is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Plantuml in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xenodium/emacs-skills/tree/main/skills/plantuml. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Plantuml?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Plantuml?

As many as you like. As long as a model supports skills, you can use Plantuml with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Plantuml AI skill free?

It is published on GitHub by xenodium. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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