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design-an-interface

design-an-interface

github.com/timschochDevelopment076 installsUpdated 2w ago
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About design-an-interface

A design skill for shaping module interfaces through multiple contrasting proposals before implementation. It guides developers from requirements gathering through comparison and synthesis, drawing on the “Design It Twice” approach.

Key features

  1. 01Gather module requirements
  2. 02Generate distinct interface proposals
  3. 03Present signatures and usage examples
  4. 04Compare trade-offs across designs
  5. 05Synthesize a preferred interface

Use cases

  1. 01Exploring interface options for a new module
  2. 02Comparing simplicity and flexibility trade-offs
  3. 03Aligning an interface with callers and constraints

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/timschoch/mattpocock-skills --skill design-an-interface

After installing, type/design-an-interfacein Claude Code to confirm it loaded.

Bundled filesagents/openai.yaml

Details

From the project README

Design an 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.

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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