architecture-diagrams▌
aj-geddes/useful-ai-prompts · updated Apr 8, 2026
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Generate system architecture diagrams using Mermaid, PlantUML, C4 models, and flowcharts for technical documentation.
- ›Supports multiple diagram types: system architecture, sequence diagrams, C4 context and component diagrams, deployment diagrams, data flows, and class diagrams
- ›Text-based, version-control-friendly formats that integrate directly into documentation and code repositories
- ›Includes best practices for consistent notation, meaningful color coding, logical grouping with subg
Architecture Diagrams
Table of Contents
Overview
Create clear, maintainable architecture diagrams using code-based diagramming tools like Mermaid and PlantUML for system design, data flows, and technical documentation.
When to Use
- System architecture documentation
- C4 model diagrams
- Data flow diagrams
- Sequence diagrams
- Component relationships
- Deployment diagrams
- Infrastructure architecture
- Microservices architecture
- Database schemas (visual)
- Integration patterns
Quick Start
Minimal working example:
graph TB
subgraph "Client Layer"
Web[Web App]
Mobile[Mobile App]
CLI[CLI Tool]
end
subgraph "API Gateway Layer"
Gateway[API Gateway<br/>Rate Limiting<br/>Authentication]
end
subgraph "Service Layer"
Auth[Auth Service]
User[User Service]
Order[Order Service]
Payment[Payment Service]
Notification[Notification Service]
end
subgraph "Data Layer"
UserDB[(User DB<br/>PostgreSQL)]
OrderDB[(Order DB<br/>PostgreSQL)]
Cache[(Redis Cache)]
Queue[Message Queue<br/>RabbitMQ]
end
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| System Architecture Diagram | System Architecture Diagram |
| Sequence Diagram | Sequence Diagram |
| C4 Context Diagram | C4 Context Diagram |
| Component Diagram | Component Diagram |
| Deployment Diagram | Deployment Diagram |
| Data Flow Diagram | Data Flow Diagram |
| Class Diagram | Class Diagram |
| Component Diagram | Component Diagram |
| Deployment Diagram | Deployment Diagram |
Best Practices
✅ DO
- Use consistent notation and symbols
- Include legends for complex diagrams
- Keep diagrams focused on one aspect
- Use color coding meaningfully
- Include titles and descriptions
- Version control your diagrams
- Use text-based formats (Mermaid, PlantUML)
- Show data flow direction clearly
- Include deployment details
- Document diagram conventions
- Keep diagrams up-to-date with code
- Use subgraphs for logical grouping
❌ DON'T
- Overcrowd diagrams with details
- Use inconsistent styling
- Skip diagram legends
- Create binary image files only
- Forget to document relationships
- Mix abstraction levels in one diagram
- Use proprietary formats
How to use architecture-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 architecture-diagrams
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches architecture-diagrams from GitHub repository aj-geddes/useful-ai-prompts 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 architecture-diagrams. Access the skill through slash commands (e.g., /architecture-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▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★34 reviews- ★★★★★Ren Khan· Dec 16, 2024
architecture-diagrams reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Pratham Ware· Dec 12, 2024
architecture-diagrams is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Dhruvi Jain· Dec 8, 2024
architecture-diagrams has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Oshnikdeep· Nov 27, 2024
Solid pick for teams standardizing on skills: architecture-diagrams is focused, and the summary matches what you get after install.
- ★★★★★Ren Haddad· Nov 27, 2024
architecture-diagrams fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Fatima Park· Nov 7, 2024
Registry listing for architecture-diagrams matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Sakura Huang· Oct 26, 2024
Keeps context tight: architecture-diagrams is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ganesh Mohane· Oct 18, 2024
We added architecture-diagrams from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ren Yang· Oct 18, 2024
architecture-diagrams is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sakura Choi· Sep 25, 2024
Solid pick for teams standardizing on skills: architecture-diagrams is focused, and the summary matches what you get after install.
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