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".
cd ~/.claude/skills
git clone https://github.com/mattpocock/skills.git skills mkdir -p ~/.claude/skills/design-an-interface
curl -fsSL https://raw.githubusercontent.com/mattpocock/skills/HEAD/skills/deprecated/design-an-interface/SKILL.md \
-o ~/.claude/skills/design-an-interface/SKILL.md 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).
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback
Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions