Generate multiple radically different interface designs for a module using parallel sub-agents.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondesign-an-interfaceExecute the skills CLI command in your project's root directory to begin installation:
Fetches design-an-interface from explainx/design-an-interface and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate design-an-interface. Access via /design-an-interface in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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| name | design-an-interface |
| description | Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice". |
Based on "Design It Twice" from "A Philosophy of Software Design": your first idea is unlikely to be the best. Generate multiple radically different designs, then compare.
Before designing, understand:
Ask: "What does this module need to do? Who will use it?"
Spawn 3+ sub-agents simultaneously using Task tool. Each must produce a radically different approach.
Prompt template for each sub-agent:
Design an interface for: [module description]
Requirements: [gathered requirements]
Constraints for this design: [assign a different constraint to each agent]
- Agent 1: "Minimize method count - aim for 1-3 methods max"
- Agent 2: "Maximize flexibility - support many use cases"
- Agent 3: "Optimize for the most common case"
- Agent 4: "Take inspiration from [specific paradigm/library]"
Output format:
1. Interface signature (types/methods)
2. Usage example (how caller uses it)
3. What this design hides internally
4. Trade-offs of this approach
Show each design with:
Present designs sequentially so user can absorb each approach before comparison.
After showing all designs, compare them on:
Discuss trade-offs in prose, not tables. Highlight where designs diverge most.
Often the best design combines insights from multiple options. Ask:
From "A Philosophy of Software Design":
Interface simplicity: Fewer methods, simpler params = easier to learn and use correctly.
General-purpose: Can handle future use cases without changes. But beware over-generalization.
Implementation efficiency: Does interface shape allow efficient implementation? Or force awkward internals?
Depth: Small interface hiding significant complexity = deep module (good). Large interface with thin implementation = shallow module (avoid).
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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design-an-interface has been reliable in day-to-day use. Documentation quality is above average for community skills.
design-an-interface has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for design-an-interface matched our evaluation — installs cleanly and behaves as described in the markdown.
design-an-interface fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: design-an-interface is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for design-an-interface matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in design-an-interface — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend design-an-interface for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
design-an-interface reduced setup friction for our internal harness; good balance of opinion and flexibility.
design-an-interface reduced setup friction for our internal harness; good balance of opinion and flexibility.
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