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mermaid-optimize

Design
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Improve readability, consistency, and completeness of Mermaid diagrams. Use when Claude needs to optimize Mermaid diagrams for visual clarity, better layout, missing components, or standardization across files. This skill enhances diagram quality while preserving the original architecture and meaning.

QUICK START

How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/data/mermaid-optimize/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/mermaid-optimize/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Mermaid Diagram Optimizer

Optimize Mermaid diagrams for improved readability, consistency, and completeness.

Quick Start

  1. Read the target file(s) containing Mermaid diagrams
  2. For each diagram, apply optimization rules:
    • Simplify layouts and reduce edge crossings
    • Use consistent directional flow (LR or TD)
    • Group related components with subgraphs
    • Add missing components (databases, queues, auth services, etc.)
    • Standardize naming conventions and styles
  3. Replace optimized diagrams in source file(s)

Optimization Goals

1. Visual Clarity

  • Simplify layouts to reduce complexity
  • Minimize edge crossings
  • Use consistent directional flow (prefer LR or TD)
  • Break large diagrams into logical sections

2. Layout and Grouping

  • Group related components using subgraph with clear labels
  • Keep similar component types aligned
  • Avoid overcrowding nodes

3. Add Missing Components

Identify implied but missing components:

  • Databases
  • Queues / message brokers
  • Auth / identity services
  • External clients or APIs
  • Monitoring / logging components

Add only when logically required by existing connections or labels.

4. Style Standardization

  • Use consistent diagram types (graph, sequenceDiagram, stateDiagram)
  • Use semantic node IDs with readable labels:
    graph LR
      api[API Service]
      db[(Database)]
    
  • Standardize capitalization and spacing
  • Use consistent arrow styles and directions

5. Mermaid Best Practices

  • Always use explicit direction: graph LR, graph TD
  • Avoid overly long node labels
  • Keep one responsibility per node
  • Use widely supported Mermaid syntax only

Constraints

  • Preserve the original meaning and architecture
  • Do not remove existing components unless they are redundant duplicates
  • Do not change non-Mermaid content
  • Output valid Mermaid syntax only

Example Before/After

Before:

graph
  App-->DB
  Auth-->App
  Client-->App
  Queue-->Worker
  Worker-->DB

After:

graph LR
  subgraph Clients
    client[Web Client]
  end

  subgraph Application
    api[API Service]
    auth[Auth Service]
  end

  subgraph Data
    db[(Database)]
    queue[(Message Queue)]
  end

  subgraph Workers
    worker[Background Worker]
  end

  client --> api
  api --> auth
  api --> db
  api --> queue
  queue --> worker
  worker --> db

Notes

  • This skill focuses on optimization and improvement, not syntax fixing
  • For parsing errors and syntax issues, use the /mermaid-fix skill instead
  • Always validate diagrams after optimization using mmdc