Mmcp.market

design-an-interface skill

by kevinnft·kevinnft/ai-agent-skills·14 stars·MIT

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".

A100/100content scan

Is the design-an-interface skill safe?

Clean: nothing in its files matched our rules. We read 1 file in the folder on 2026-09-28.

No findings.

Install the design-an-interface skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.

git clone --depth 1 https://github.com/kevinnft/ai-agent-skills.git /tmp/ai-agent-skills
mkdir -p ~/.claude/skills
cp -r /tmp/ai-agent-skills/skills/mattpocock/deprecated/design-an-interface ~/.claude/skills/design-an-interface
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

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

More skills from kevinnft/ai-agent-skills

  • Aaddyosmani-tddDrives development with tests. Use when implementing any logic, fixing any bug, or changing any behavior. Use when you need to prove that code works, when a bug report arrives, or when you're about to modify existing functionality.
  • AairtableAirtable REST API via curl. Records CRUD, filters, upserts.
  • Aapi-and-interface-designGuides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.
  • Aapi-monitoring-botsBuild monitoring bots that poll APIs and send notifications on state changes (new listings, price alerts, status updates)
  • Aapple-notesManage Apple Notes via memo CLI: create, search, edit.
  • Aapple-remindersApple Reminders via remindctl: add, list, complete.
  • Aarchitecture-diagramDark-themed SVG architecture/cloud/infra diagrams as HTML.
  • AarxivSearch arXiv papers by keyword, author, category, or ID.
  • Aascii-artASCII art: pyfiglet, cowsay, boxes, image-to-ascii.
  • Aascii-videoASCII video: convert video/audio to colored ASCII MP4/GIF.
  • AaudiocraftAudioCraft: MusicGen text-to-music, AudioGen text-to-sound.
  • CaxolotlAxolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).

All agent skills → · MCP servers