Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts, gantt charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.
npx skills add https://github.com/softaworks/agent-toolkit --skill mermaid-diagrams
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.
All Mermaid diagrams follow this pattern:
diagramType
definition content
Key principles:
classDiagram, sequenceDiagram, flowchart)%% for commentsChoose the right diagram type:
classDiagram
Title -- Genre
Title *-- Season
Title *-- Review
User --> Review : creates
class Title {
+string name
+int releaseYear
+play()
}
class Genre {
+string name
+getTopTitles()
}
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 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
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
}
For in-depth guidance on specific diagram types, see:
%% comments to explain complex relationships.mmd files alongside code for easy updatesConfigure 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 appearanceNative support in:
Export options:
npm install -g @mermaid-js/mermaid-cli then mmdc -i input.mmd -o output.pngdocker run --rm -v $(pwd):/data minlag/mermaid-cli -i /data/input.mmd -o /data/output.png{} in comments, use proper escape sequences for special charactersAlways diagram when:
Use diagrams to:
Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications. Use when: bullmq, bull queue, redis queue, background job, job queue.
Create custom external web service APIs for Moodle LMS. Use when implementing web services for course management, user tracking, quiz operations, or custom plugin functionality. Covers parameter validation, database operations, error handling, service registration, and Moodle coding standards.
Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
Take softaworks/mermaid-diagrams from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npm, docker.
Without those the skill loads but fails at the first command.