Design an Interface
SkillMonitoring & opsYour AI can design a software or API interface before building starts, so you begin with a clear plan instead of figuring things out mid-build. This skill guides it through the design process step by step. It comes from a collection of skills for real engineers.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding it, ask your AI to design the interface for the software or API you have in mind. It will walk through the design with you before you move on to building.
Then ask your AI: use the Design an Interface skill
What your AI can do with it
- Design a software interface before any building starts
- Plan how an API should work up front
- Work through interface decisions with guided steps
- Start building from a settled, well-thought-out design
What this skill tells your AI
The instructions your AI receives, as published by asymmetric-al/core in .agents/skills/design-an-interface/SKILL.md and read by ahel’s review.
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.
Workflow
1. Gather Requirements
Before designing, understand:
- What problem does this module solve?
- Who are the callers? (other modules, external users, tests)
- What are the key operations?
- Any constraints? (performance, compatibility, existing patterns)
- What should be hidden inside vs exposed?
Ask: "What does this module need to do? Who will use it?"
2. Generate Designs (Parallel Sub-Agents)
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
3. Present Designs
Show each design with:
- Interface signature - types, methods, params
- Usage examples - how callers actually use it in practice
- What it hides - complexity kept internal
Present designs sequentially so user can absorb each approach before comparison.
4. Compare Designs
After showing all designs, compare them on:
- Interface simplicity: fewer methods, simpler params
- General-purpose vs specialized: flexibility vs focus
- Implementation efficiency: does shape allow efficient internals?
- Depth: small interface hiding significant complexity (good) vs large interface with thin implementation (bad)
- Ease of correct use vs ease of misuse
Discuss trade-offs in prose, not tables. Highlight where designs diverge most.
5. Synthesize
Often the best design combines insights from multiple options. Ask:
- "Which design best fits your primary use case?"
- "Any elements from other designs worth incorporating?"
Evaluation Criteria
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).
Anti-Patterns
- Don't let sub-agents produce similar designs - enforce radical difference
- Don't skip comparison - the value is in contrast
- Don't implement - this is purely about interface shape
- Don't evaluate based on implementation effort
Signals
- GitHub stars
- 391
- Forks
- 7
- Last commit
- Sep 2026
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design-an-interface- Source
- github.com/asymmetric-al/core