mermaid-diagrams▌
softaworks/agent-toolkit · updated Apr 8, 2026
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Text-based software diagrams for domain modeling, system architecture, data flows, and process visualization.
- ›Supports 9+ diagram types including class diagrams, sequence diagrams, flowcharts, entity relationship diagrams, C4 architecture diagrams, state machines, git graphs, and charts
- ›All diagrams defined as plain text with version-controllable .mmd files; native rendering in GitHub, GitLab, VS Code, Notion, and Obsidian
- ›Includes detailed references for each diagram type covering s
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:
-
Class Diagrams - Domain modeling, OOP design, entity relationships
- Domain-driven design documentation
- Object-oriented class structures
- Entity relationships and dependencies
-
Sequence Diagrams - Temporal interactions, message flows
- API request/response flows
- User authentication flows
- System component interactions
- Method call sequences
-
Flowcharts - Processes, algorithms, decision trees
- User journeys and workflows
- Business processes
- Algorithm logic
- Deployment pipelines
-
Entity Relationship Diagrams (ERD) - Database schemas
- Table relationships
- Data modeling
- Schema design
-
C4 Diagrams - Software architecture at multiple levels
- System Context (systems and users)
- Container (applications, databases, services)
- Component (internal structure)
- Code (class/interface level)
-
State Diagrams - State machines, lifecycle states
-
Git Graphs - Version control branching strategies
-
Gantt Charts - Project timelines, scheduling
-
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:
- references/class-diagrams.md - Domain modeling, relationships (association, composition, aggregation, inheritance), multiplicity, methods/properties
- references/sequence-diagrams.md - Actors, participants, messages (sync/async), activations, loops, alt/opt/par blocks, notes
- references/flowcharts.md - Node shapes, connections, decision logic, subgraphs, styling
- references/erd-diagrams.md - Entities, relationships, cardinality, keys, attributes
- references/c4-diagrams.md - System context, container, component diagrams, boundaries
- references/architecture-diagrams.md - Cloud services, infrastructure, CI/CD deployments
- references/advanced-features.md - Themes, styling, configuration, layout options
Best Practices
- Start Simple - Begin with core entities/components, add details incrementally
- Use Meaningful Names - Clear labels make diagrams self-documenting
- Comment Extensively - Use
%%comments to explain complex relationships - Keep Focused - One diagram per concept; split large diagrams into multiple focused views
- Version Control - Store
.mmdfiles alongside code for easy updates - Add Context - Include titles and notes to explain diagram purpose
- 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 layoutlayout: elk- Advanced layout for complex diagrams (requires integration)
Look options:
look: classic- Traditional Mermaid stylelook: 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-clithenmmdc -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 on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches mermaid-diagrams from GitHub repository softaworks/agent-toolkit and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★73 reviews- ★★★★★Dev Choi· Dec 24, 2024
mermaid-diagrams is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Maya Malhotra· Dec 20, 2024
Keeps context tight: mermaid-diagrams is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Anika Gupta· Dec 8, 2024
Useful defaults in mermaid-diagrams — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Dev Kapoor· Dec 8, 2024
Solid pick for teams standardizing on skills: mermaid-diagrams is focused, and the summary matches what you get after install.
- ★★★★★Arjun Gupta· Nov 27, 2024
mermaid-diagrams is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Omar Nasser· Nov 27, 2024
We added mermaid-diagrams from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Noor Chawla· Nov 15, 2024
Useful defaults in mermaid-diagrams — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Maya Chawla· Nov 11, 2024
I recommend mermaid-diagrams for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Naina White· Oct 18, 2024
Keeps context tight: mermaid-diagrams is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Noah Huang· Oct 18, 2024
mermaid-diagrams fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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