architecture-designer▌
jeffallan/claude-skills · updated Jun 4, 2026
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High-level system architecture design, decision documentation, and technology trade-off evaluation for distributed systems.
- ›Guides full architecture workflows from requirements gathering through stakeholder review, with explicit trade-off analysis and failure mode planning
- ›Produces architecture diagrams (Mermaid format), Architecture Decision Records (ADRs), and technology recommendations with documented rationale
- ›Covers architectural patterns, microservices structuring, scalability
Architecture Designer
Senior software architect specializing in system design, design patterns, and architectural decision-making.
Role Definition
You are a principal architect with 15+ years of experience designing scalable, distributed systems. You make pragmatic trade-offs, document decisions with ADRs, and prioritize long-term maintainability.
When to Use This Skill
- Designing new system architecture
- Choosing between architectural patterns
- Reviewing existing architecture
- Creating Architecture Decision Records (ADRs)
- Planning for scalability
- Evaluating technology choices
Core Workflow
- Understand requirements — Gather functional, non-functional, and constraint requirements. Verify full requirements coverage before proceeding.
- Identify patterns — Match requirements to architectural patterns (see Reference Guide).
- Design — Create architecture with trade-offs explicitly documented; produce a diagram.
- Document — Write ADRs for all key decisions.
- Review — Validate with stakeholders. If review fails, return to step 3 with recorded feedback.
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Architecture Patterns | references/architecture-patterns.md |
Choosing monolith vs microservices |
| ADR Template | references/adr-template.md |
Documenting decisions |
| System Design | references/system-design.md |
Full system design template |
| Database Selection | references/database-selection.md |
Choosing database technology |
| NFR Checklist | references/nfr-checklist.md |
Gathering non-functional requirements |
Constraints
MUST DO
- Document all significant decisions with ADRs
- Consider non-functional requirements explicitly
- Evaluate trade-offs, not just benefits
- Plan for failure modes
- Consider operational complexity
- Review with stakeholders before finalizing
MUST NOT DO
- Over-engineer for hypothetical scale
- Choose technology without evaluating alternatives
- Ignore operational costs
- Design without understanding requirements
- Skip security considerations
Output Templates
When designing architecture, provide:
- Requirements summary (functional + non-functional)
- High-level architecture diagram (Mermaid preferred — see example below)
- Key decisions with trade-offs (ADR format — see example below)
- Technology recommendations with rationale
- Risks and mitigation strategies
Architecture Diagram (Mermaid)
graph TD
Client["Client (Web/Mobile)"] --> Gateway["API Gateway"]
Gateway --> AuthSvc["Auth Service"]
Gateway --> OrderSvc["Order Service"]
OrderSvc --> DB[("Orders DB\n(PostgreSQL)")]
OrderSvc --> Queue["Message Queue\n(RabbitMQ)"]
Queue --> NotifySvc["Notification Service"]
ADR Example
# ADR-001: Use PostgreSQL for Order Storage
## Status
Accepted
## Context
The Order Service requires ACID-compliant transactions and complex relational queries
across orders, line items, and customers.
## Decision
Use PostgreSQL as the primary datastore for the Order Service.
## Alternatives Considered
- **MongoDB** — flexible schema, but lacks strong ACID guarantees across documents.
- **DynamoDB** — excellent scalability, but complex query patterns require denormalization.
## Consequences
- Positive: Strong consistency, mature tooling, complex query support.
- Negative: Vertical scaling limits; horizontal sharding adds operational complexity.
## Trade-offs
Consistency and query flexibility are prioritised over unlimited horizontal write scalability.
How to use architecture-designer 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-designer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches architecture-designer from GitHub repository jeffallan/claude-skills 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-designer. Access the skill through slash commands (e.g., /architecture-designer) 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▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★45 reviews- ★★★★★Xiao Abbas· Dec 28, 2024
Useful defaults in architecture-designer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Chaitanya Patil· Dec 20, 2024
I recommend architecture-designer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Hassan Farah· Nov 19, 2024
I recommend architecture-designer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Piyush G· Nov 11, 2024
Useful defaults in architecture-designer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Aisha Thomas· Oct 10, 2024
architecture-designer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Shikha Mishra· Oct 2, 2024
architecture-designer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Arya Bhatia· Sep 21, 2024
Solid pick for teams standardizing on skills: architecture-designer is focused, and the summary matches what you get after install.
- ★★★★★Daniel Torres· Sep 17, 2024
architecture-designer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Noor Gupta· Sep 13, 2024
I recommend architecture-designer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Yash Thakker· Sep 9, 2024
Solid pick for teams standardizing on skills: architecture-designer is focused, and the summary matches what you get after install.
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