How does the decision tree work?

The decision tree maps your visualization goals—such as 'interactions over time' or 'database schema'—directly to the recommended diagram type like Sequence or ER diagrams.

When should I choose Mermaid over PlantUML?

Use Mermaid for native rendering in GitHub/GitLab and simpler syntax. Choose PlantUML for complex enterprise architecture (C4), high customization, and specialized diagrams like MindMaps or JSON visualizations.

Does this skill help with database modeling?

Yes, it provides specific Entity Relationship (ER) diagram patterns for common scenarios like blog schemas and e-commerce databases.

Are the diagram patterns ready to use?

Yes, the skill provides copy-pasteable snippets for common flows including API requests, authentication, and error handling.

Can I visualize system architecture with this skill?

Absolutely. It supports C4 Model patterns for both high-level system context (Mermaid) and detailed container diagrams (PlantUML).

Diagram Patterns

Name: Diagram Patterns
Author: melodic-software

bymelodic-software

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Aprendizaje y Documentación

Guides the selection and implementation of technical diagrams using Mermaid and PlantUML patterns.

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The Diagram Patterns skill is a specialized resource for developers needing to visualize complex systems and workflows. It helps users navigate the choice between Mermaid and PlantUML through a comprehensive decision matrix and tool comparison, ensuring the best rendering for specific environments like GitHub or enterprise documentation. With a library of production-ready patterns for sequence diagrams, ER schemas, C4 architecture, and state machines, it enables the creation of clear, standardized technical documentation directly within the Claude Code environment.

Características Principales

Comprehensive Mermaid vs. PlantUML tool comparison matrix
Support for C4 Model architecture diagrams (Context and Container levels)
Standardized templates for ER diagrams and database schemas
Diagram selection decision tree based on data structure and use case
1 GitHub stars
Pattern library for API flows, authentication, and async processing

Casos de Uso

Visualizing complex database relationships and entity schemas for documentation
Designing state machines for business logic like order lifecycles and auth flows
Mapping out microservices architecture and container-level dependencies

Acerca de

Características Principales

Comprehensive Mermaid vs. PlantUML tool comparison matrix
Support for C4 Model architecture diagrams (Context and Container levels)
Standardized templates for ER diagrams and database schemas
Diagram selection decision tree based on data structure and use case
1 GitHub stars
Pattern library for API flows, authentication, and async processing

Casos de Uso

Visualizing complex database relationships and entity schemas for documentation
Designing state machines for business logic like order lifecycles and auth flows
Mapping out microservices architecture and container-level dependencies