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/design-interface

Generate multiple radically different interface designs for a module using parallel sub-agents, then compare trade-offs. Based on "Design It Twice" from A Philosophy of Software Design. Use when user wants to design an API, explore interface options, compare module shapes, or

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$ npx -y skills add danielvm-git/bigpowers --skill design-interface --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/design-interface

Context preview

The summary Claude sees to decide when to auto-load this skill.

Generate multiple radically different interface designs for a module using parallel sub-agents, then compare trade-offs. Based on "Design It Twice" from A Philosophy of Software Design. Use when user wants to design an API, explore interface options, compare module shapes, or

SKILL.md

design-interface.SKILL.md
name: design-interface
model: opus
effort: standard
description: Generate multiple radically different interface designs for a module using parallel sub-agents, then compare trade-offs. Based on "Design It Twice" from A Philosophy of Software Design. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".

Design Interface

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.

> **HARD GATE** — Multiple design options must be explored. Do NOT settle on first idea. Compare trade-offs (UX, complexity, extensibility, performance) before committing.

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:

1. **Interface signature** — types, methods, params 2. **Usage examples** — how callers actually use it in practice 3. **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
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