Claude-skill-registry diagram
Generate publication-quality technical diagrams using Nano Banana Pro (Gemini 3 Pro Image) with AI-powered quality review. Smart iteration only regenerates when quality is below threshold.
git clone https://github.com/majiayu000/claude-skill-registry
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/diagram" ~/.claude/skills/majiayu000-claude-skill-registry-diagram && rm -rf "$T"
skills/data/diagram/SKILL.mdNano Banana - Diagram Generation
Overview
Generate any technical diagram by describing it in natural language. Nano Banana Pro automatically creates publication-quality diagrams with intelligent quality review.
Key Features:
- 🍌 Smart Iteration: Only regenerates if quality is below threshold (saves API calls)
- 🎯 Document-Type Aware: Different quality standards for different document types
- 🔍 AI Quality Review: Gemini 3 Pro reviews each generation for professional standards
- 📊 Publication-Ready: High contrast, readable fonts, colorblind-friendly
When to Use This Skill
Use this skill when you need:
- Architecture Diagrams: System designs, microservices, C4 models
- Flowcharts: Process flows, decision trees, user journeys
- Data Models: ERD diagrams, schema visualizations
- Sequence Diagrams: API interactions, message flows
- Infrastructure Diagrams: Cloud architecture, deployment topologies
- Pipeline Diagrams: CI/CD, data pipelines, ML workflows
- Any Technical Visualization: Describe it, Nano Banana creates it
Quick Start
# Generate an architecture diagram python skills/diagram/scripts/generate_diagram.py "Microservices architecture with API gateway, auth service, and database" -o architecture.png --doc-type architecture # Generate a flowchart for a presentation python skills/diagram/scripts/generate_diagram.py "User authentication flow with OAuth2" -o auth_flow.png --doc-type presentation # Generate with verbose output python skills/diagram/scripts/generate_diagram.py "Database schema for e-commerce" -o schema.png -v
Document Types & Quality Thresholds
Different documents have different quality requirements. Nano Banana automatically adjusts:
| Document Type | Threshold | Best For |
|---|---|---|
| 8.5/10 | Technical specs, PRDs |
| 8.0/10 | Architecture documents |
| 8.0/10 | Business proposals |
| 8.5/10 | Academic publications |
| 8.0/10 | Conference papers |
| 8.0/10 | Dissertations |
| 8.0/10 | Grant proposals |
| 7.5/10 | Sprint planning |
| 7.5/10 | Technical reports |
| 7.5/10 | arXiv, bioRxiv |
| 7.0/10 | README files |
| 7.0/10 | Academic posters |
| 6.5/10 | Slides, talks |
| 7.5/10 | General purpose |
Smart Iteration: If the first generation scores above the threshold, no second iteration is performed. This saves time and API costs.
Diagram Examples
System Architecture
python generate_diagram.py "Three-tier web application architecture with: - React frontend - Node.js API layer with load balancer - PostgreSQL database with read replicas - Redis cache layer - CDN for static assets" -o three_tier.png --doc-type architecture
Sequence Diagram
python generate_diagram.py "Sequence diagram showing OAuth2 authorization code flow: 1. User clicks login 2. App redirects to auth server 3. User authenticates 4. Auth server returns code 5. App exchanges code for token 6. App accesses protected resource" -o oauth_flow.png --doc-type specification
Data Flow
python generate_diagram.py "Data pipeline showing: - Data ingestion from multiple sources (API, files, streaming) - ETL processing with Apache Spark - Data warehouse (Snowflake) - BI dashboards and ML model training" -o pipeline.png --doc-type report
C4 Model - Container Diagram
python generate_diagram.py "C4 Container diagram for e-commerce platform: - Web App (React SPA) - Mobile App (React Native) - API Gateway (Kong) - Order Service (Python) - Payment Service (Go) - Inventory Service (Java) - PostgreSQL Database - Redis Cache - RabbitMQ Message Queue" -o c4_container.png --doc-type architecture
How It Works
- Initial Generation: Nano Banana Pro (Gemini 3 Pro Image) generates the diagram
- Quality Review: Gemini 3 Pro evaluates on 5 criteria:
- Technical Accuracy (0-2 pts)
- Clarity and Readability (0-2 pts)
- Label Quality (0-2 pts)
- Layout and Composition (0-2 pts)
- Professional Appearance (0-2 pts)
- Decision: If score ≥ threshold → Done! If score < threshold → Iterate
- Improvement: Feedback is incorporated into an improved prompt
- Regeneration: New diagram generated with improvements (max 2 iterations)
Output Files
For an output path of
diagram.png, you'll get:
- First iterationdiagram_v1.png
- Second iteration (if needed)diagram_v2.png
- Final version (copy of best iteration)diagram.png
- Quality scores and review detailsdiagram_review_log.json
Configuration
Environment Variable (Recommended)
export OPENROUTER_API_KEY='your_api_key_here'
.env File
Create a
.env file in your project:
OPENROUTER_API_KEY=your_api_key_here
Get Your API Key
- Go to https://openrouter.ai/keys
- Create a new API key
- Add credits to your account
Tips for Better Diagrams
Be Specific
# ❌ Too vague "System diagram" # ✅ Specific and detailed "Microservices architecture diagram showing user service, order service, and payment service communicating via REST APIs, with a shared PostgreSQL database and Redis cache"
Include Relationships
# ✅ Good - describes connections "Data flow diagram showing: - User uploads file to S3 - Lambda triggered on upload - Lambda processes and stores metadata in DynamoDB - SNS notifies downstream services"
Specify Style When Needed
# ✅ Style hints "Flowchart with decision diamonds for the loan approval process, using green for approved paths and red for rejected paths"
Python API
from skills.diagram.scripts.generate_diagram_ai import NanoBananaGenerator generator = NanoBananaGenerator(verbose=True) results = generator.generate_iterative( user_prompt="Kubernetes cluster architecture with ingress, services, and pods", output_path="k8s_arch.png", iterations=2, doc_type="architecture" ) print(f"Final Score: {results['final_score']}/10") print(f"Early Stop: {results['early_stop']}")
Integration with Other Skills
- Use with sprint planning to visualize user story workflows
- Use with architecture research to diagram ADR decisions
- Use with building blocks to visualize component relationships
- Use with competitive analysis to create comparison diagrams
Troubleshooting
"OPENROUTER_API_KEY not found"
Set the environment variable or create a
.env file. See Configuration section.
Low Quality Scores
- Add more detail to your prompt
- Specify relationships between components
- Use a higher threshold document type to force more iterations
Generation Timeout
Complex diagrams may take up to 2 minutes. The timeout is set to 120 seconds per API call.
Cost Considerations
- Gemini 3 Pro Image: ~$2/M input, ~$12/M output tokens
- Simple diagram (1 iteration): ~$0.05-0.15
- Complex diagram (2 iterations): ~$0.10-0.30
- Smart iteration saves costs by stopping early when quality is sufficient