library/specializations/technical-documentation/skills/diagram-generation/SKILL.md
Multi-format diagram generation from text descriptions. Create Mermaid, PlantUML, D2, and Graphviz diagrams including flowcharts, sequence diagrams, architecture diagrams (C4), and data models.
npx skillsauth add a5c-ai/babysitter diagram-generationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Multi-format diagram generation from text descriptions.
Invoke this skill when you need to:
| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | type | string | Yes | mermaid, plantuml, d2, graphviz, c4 | | diagramType | string | Yes | flowchart, sequence, class, er, architecture | | source | string | No | Diagram source code | | inputPath | string | No | Path to diagram source file | | outputPath | string | Yes | Output file path | | format | string | No | svg, png, pdf (default: svg) | | theme | string | No | Theme for styling |
{
"type": "mermaid",
"diagramType": "sequence",
"source": "sequenceDiagram\n Client->>API: Request\n API-->>Client: Response",
"outputPath": "docs/diagrams/api-flow.svg",
"format": "svg"
}
flowchart TD
A[Start] --> B{Is valid?}
B -->|Yes| C[Process]
B -->|No| D[Error]
C --> E[End]
D --> E
sequenceDiagram
participant U as User
participant A as API Gateway
participant S as Service
participant D as Database
U->>A: POST /users
A->>A: Validate Token
A->>S: Create User
S->>D: INSERT user
D-->>S: Success
S-->>A: User Created
A-->>U: 201 Created
classDiagram
class User {
+String id
+String email
+String name
+create()
+update()
+delete()
}
class Order {
+String id
+Date createdAt
+Status status
+process()
+cancel()
}
class OrderItem {
+String productId
+int quantity
+float price
}
User "1" --> "*" Order : places
Order "1" --> "*" OrderItem : contains
erDiagram
USER ||--o{ ORDER : places
USER {
uuid id PK
string email UK
string name
timestamp created_at
}
ORDER ||--|{ ORDER_ITEM : contains
ORDER {
uuid id PK
uuid user_id FK
enum status
timestamp created_at
}
ORDER_ITEM {
uuid id PK
uuid order_id FK
uuid product_id FK
int quantity
}
PRODUCT ||--o{ ORDER_ITEM : "ordered in"
PRODUCT {
uuid id PK
string name
decimal price
}
stateDiagram-v2
[*] --> Draft
Draft --> Pending: Submit
Pending --> Approved: Approve
Pending --> Rejected: Reject
Rejected --> Draft: Revise
Approved --> Published: Publish
Published --> [*]
@startuml C4_Context
!include https://raw.githubusercontent.com/plantuml-stdlib/C4-PlantUML/master/C4_Context.puml
Person(user, "User", "A customer of the system")
System(system, "E-Commerce Platform", "Allows users to browse and purchase products")
System_Ext(payment, "Payment Gateway", "Processes payments")
System_Ext(email, "Email Service", "Sends notifications")
Rel(user, system, "Uses", "HTTPS")
Rel(system, payment, "Processes payments", "HTTPS")
Rel(system, email, "Sends emails", "SMTP")
@enduml
@startuml C4_Container
!include https://raw.githubusercontent.com/plantuml-stdlib/C4-PlantUML/master/C4_Container.puml
Person(user, "User")
System_Boundary(system, "E-Commerce Platform") {
Container(spa, "Web Application", "React", "User interface")
Container(api, "API Gateway", "Node.js", "REST API")
Container(orders, "Order Service", "Go", "Handles orders")
Container(products, "Product Service", "Go", "Product catalog")
ContainerDb(db, "Database", "PostgreSQL", "Stores data")
ContainerQueue(queue, "Message Queue", "RabbitMQ", "Async messaging")
}
Rel(user, spa, "Uses", "HTTPS")
Rel(spa, api, "Calls", "HTTPS")
Rel(api, orders, "Routes", "gRPC")
Rel(api, products, "Routes", "gRPC")
Rel(orders, db, "Reads/Writes", "SQL")
Rel(orders, queue, "Publishes", "AMQP")
@enduml
direction: right
users: Users {
shape: person
}
frontend: Frontend {
spa: React SPA
mobile: Mobile App
}
backend: Backend Services {
gateway: API Gateway
auth: Auth Service
orders: Order Service
products: Product Service
}
data: Data Layer {
postgres: PostgreSQL {
shape: cylinder
}
redis: Redis Cache {
shape: cylinder
}
s3: S3 Storage {
shape: cylinder
}
}
users -> frontend.spa
users -> frontend.mobile
frontend -> backend.gateway
backend.gateway -> backend.auth
backend.gateway -> backend.orders
backend.gateway -> backend.products
backend.orders -> data.postgres
backend.auth -> data.redis
backend.products -> data.s3
digraph Dependencies {
rankdir=LR;
node [shape=box, style=filled, fillcolor=lightblue];
"api-gateway" -> "auth-service";
"api-gateway" -> "user-service";
"api-gateway" -> "order-service";
"order-service" -> "user-service";
"order-service" -> "product-service";
"order-service" -> "payment-service";
"user-service" -> "database" [style=dashed];
"order-service" -> "database" [style=dashed];
"product-service" -> "database" [style=dashed];
"database" [shape=cylinder, fillcolor=lightyellow];
}
{
"theme": "neutral",
"themeVariables": {
"primaryColor": "#4a90d9",
"primaryTextColor": "#fff",
"primaryBorderColor": "#2d5986",
"lineColor": "#5c6370",
"secondaryColor": "#f0f0f0",
"tertiaryColor": "#e8e8e8"
},
"flowchart": {
"curve": "basis",
"padding": 20
},
"sequence": {
"actorMargin": 50,
"boxMargin": 10
}
}
{
"devDependencies": {
"@mermaid-js/mermaid-cli": "^10.0.0",
"plantuml": "^0.1.0",
"d2": "^0.6.0",
"graphviz": "^0.0.9",
"svgo": "^3.0.0"
}
}
# Mermaid to SVG
npx mmdc -i diagram.mmd -o diagram.svg
# PlantUML to PNG
java -jar plantuml.jar diagram.puml
# D2 to SVG
d2 diagram.d2 diagram.svg
# Graphviz to PNG
dot -Tpng diagram.dot -o diagram.png
# Optimize SVG
npx svgo diagram.svg -o diagram.min.svg
development
Model documentation skill for generating model cards following Google's model card framework.
development
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
data-ai
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
devops
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.