mermaid-diagrams

davila7/claude-code-templates · updated May 27, 2026

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$npx skills add https://github.com/davila7/claude-code-templates --skill mermaid-diagrams
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summary

Text-based software diagrams for domain modeling, architecture, flows, and database schemas.

  • Supports nine diagram types: class diagrams, sequence diagrams, flowcharts, entity relationship diagrams, C4 architecture diagrams, state diagrams, git graphs, Gantt charts, and pie/bar charts
  • All diagrams render from plain-text syntax, making them version-controllable and easy to maintain alongside code
  • Native support in GitHub, GitLab, VS Code, Notion, Obsidian, and Confluence; exportable t
skill.md

Mermaid Diagramming

Create professional software diagrams using Mermaid's text-based syntax. Mermaid renders diagrams from simple text definitions, making diagrams version-controllable, easy to update, and maintainable alongside code.

Core Syntax Structure

All Mermaid diagrams follow this pattern:

diagramType
  definition content

Key principles:

  • First line declares diagram type (e.g., classDiagram, sequenceDiagram, flowchart)
  • Use %% for comments
  • Line breaks and indentation improve readability but aren't required
  • Unknown words break diagrams; parameters fail silently

Diagram Type Selection Guide

Choose the right diagram type:

  1. Class Diagrams - Domain modeling, OOP design, entity relationships

    • Domain-driven design documentation
    • Object-oriented class structures
    • Entity relationships and dependencies
  2. Sequence Diagrams - Temporal interactions, message flows

    • API request/response flows
    • User authentication flows
    • System component interactions
    • Method call sequences
  3. Flowcharts - Processes, algorithms, decision trees

    • User journeys and workflows
    • Business processes
    • Algorithm logic
    • Deployment pipelines
  4. Entity Relationship Diagrams (ERD) - Database schemas

    • Table relationships
    • Data modeling
    • Schema design
  5. C4 Diagrams - Software architecture at multiple levels

    • System Context (systems and users)
    • Container (applications, databases, services)
    • Component (internal structure)
    • Code (class/interface level)
  6. State Diagrams - State machines, lifecycle states

  7. Git Graphs - Version control branching strategies

  8. Gantt Charts - Project timelines, scheduling

  9. Pie/Bar Charts - Data visualization

Quick Start Examples

Class Diagram (Domain Model)

classDiagram
    Title -- Genre
    Title *-- Season
    Title *-- Review
    User --> Review : creates
    
    class Title {
        +string name
        +int releaseYear
        +play()
    }
    
    class Genre {
        +string name
        +getTopTitles()
    }

Sequence Diagram (API Flow)

sequenceDiagram
    participant User
    participant API
    participant Database
    
    User->>API: POST /login
    API->>Database: Query credentials
    Database-->>API: Return user data
    alt Valid credentials
        API-->>User: 200 OK + JWT token
    else Invalid credentials
        API-->>User: 401 Unauthorized
    end

Flowchart (User Journey)

flowchart TD
    Start([User visits site]) --> Auth{Authenticated?}
    Auth -->|No| Login[Show login page]
    Auth -->|Yes| Dashboard[Show dashboard]
    Login --> Creds[Enter credentials]
    Creds --> Validate{Valid?}
    Validate -->|Yes| Dashboard
    Validate -->|No| Error[Show error]
    Error --> Login

ERD (Database Schema)

erDiagram
    USER ||--o{ ORDER : places
    ORDER ||--|{ LINE_ITEM : contains
    PRODUCT ||--o{ LINE_ITEM : includes
    
    USER {
        int id PK
        string email UK
        string name
        datetime created_at
    }
    
    ORDER {
        int id PK
        int user_id FK
        decimal total
        datetime created_at
    }

Detailed References

For in-depth guidance on specific diagram types, see:

Best Practices

  1. Start Simple - Begin with core entities/components, add details incrementally
  2. Use Meaningful Names - Clear labels make diagrams self-documenting
  3. Comment Extensively - Use %% comments to explain complex relationships
  4. Keep Focused - One diagram per concept; split large diagrams into multiple focused views
  5. Version Control - Store .mmd files alongside code for easy updates
  6. Add Context - Include titles and notes to explain diagram purpose
  7. Iterate - Refine diagrams as understanding evolves

Configuration and Theming

Configure diagrams using frontmatter:

---
config:
  theme: base
  themeVariables:
    primaryColor: "#ff6b6b"
---
flowchart LR
    A --> B

Available themes: default, forest, dark, neutral, base

Layout options:

  • layout: dagre (default) - Classic balanced layout
  • layout: elk - Advanced layout for complex diagrams (requires integration)

Look options:

  • look: classic - Traditional Mermaid style
  • look: handDrawn - Sketch-like appearance

Exporting and Rendering

Native support in:

  • GitHub/GitLab - Automatically renders in Markdown
  • VS Code - With Markdown Mermaid extension
  • Notion, Obsidian, Confluence - Built-in support

Export options:

  • Mermaid Live Editor - Online editor with PNG/SVG export
  • Mermaid CLI - npm install -g @mermaid-js/mermaid-cli then mmdc -i input.mmd -o output.png
  • Docker - docker run --rm -v $(pwd):/data minlag/mermaid-cli -i /data/input.mmd -o /data/output.png

Common Pitfalls

  • Breaking characters - Avoid {} in comments, use proper escape sequences for special characters
  • Syntax errors - Misspellings break diagrams; validate syntax in Mermaid Live
  • Overcomplexity - Split complex diagrams into multiple focused views
  • Missing relationships - Document all important connections between entities

When to Create Diagrams

Always diagram when:

  • Starting new projects or features
  • Documenting complex systems
  • Explaining architecture decisions
  • Designing database schemas
  • Planning refactoring efforts
  • Onboarding new team members

Use diagrams to:

  • Align stakeholders on technical decisions
  • Document domain models collaboratively
  • Visualize data flows and system interactions
  • Plan before coding
  • Create living documentation that evolves with code
how to use mermaid-diagrams

How to use mermaid-diagrams on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add mermaid-diagrams
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/davila7/claude-code-templates --skill mermaid-diagrams

The skills CLI fetches mermaid-diagrams from GitHub repository davila7/claude-code-templates and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/mermaid-diagrams

Reload or restart Cursor to activate mermaid-diagrams. Access the skill through slash commands (e.g., /mermaid-diagrams) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ 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.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.751 reviews
  • Soo Verma· Dec 28, 2024

    Keeps context tight: mermaid-diagrams is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Shikha Mishra· Dec 24, 2024

    Registry listing for mermaid-diagrams matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Min Gonzalez· Dec 16, 2024

    mermaid-diagrams is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ira Iyer· Dec 8, 2024

    Useful defaults in mermaid-diagrams — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Jin Ramirez· Dec 8, 2024

    We added mermaid-diagrams from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Min Perez· Nov 27, 2024

    mermaid-diagrams fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Dev Sanchez· Nov 19, 2024

    mermaid-diagrams has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Ira Perez· Nov 19, 2024

    I recommend mermaid-diagrams for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yash Thakker· Nov 15, 2024

    mermaid-diagrams reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Jin Torres· Nov 7, 2024

    Solid pick for teams standardizing on skills: mermaid-diagrams is focused, and the summary matches what you get after install.

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