mattpocock-design-an-interface
Generate multiple radically different interface designs for a module using parallel sub-agents.
Skill by hedysom
Chalk Labs
Need help deploying mattpocock-design-an-interface?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/hedysom-mattpocock-design-an-interface
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: design, backend
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/mattpocock-design-an-interface
What's inside
- Skill name
mattpocock-design-an-interface- Description
- 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".
- License
- MIT
- Instructions
- 91 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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
From hedysom/pi-mattpocock-skills, MIT.
More from hedysom/pi-mattpocock-skills
- 0.474score
mattpocock-obsidian-vault
hedysom
Search, create, and manage notes in the Obsidian vault with wikilinks and index notes.
SkillCFreshness: CClaude Code +9 - 0.474score
mattpocock-setup-pre-commit
hedysom
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo.
SkillCFreshness: CClaude Code +9 - 0.474score
mattpocock-scaffold-exercises
hedysom
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting.
SkillCFreshness: CClaude Code +9 - 0.455score
mattpocock-diagnose
hedysom
Disciplined diagnosis loop for hard bugs and performance regressions.
SkillCFreshness: CClaude Code +9 - 0.455score
mattpocock-git-guardrails-claude-code
hedysom
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute.
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-improve-codebase-architecture
hedysom
Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/.
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-grill-with-docs
hedysom
Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as…
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-qa
hedysom
Interactive QA session where user reports bugs or issues conversationally, and the agent files GitHub issues.
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-request-refactor-plan
hedysom
Create a detailed refactor plan with tiny commits via user interview, then file it as a GitHub issue.
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-caveman
hedysom
Ultra-compressed communication mode.
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-migrate-to-shoehorn
hedysom
Migrate test files from `as` type assertions to @total-typescript/shoehorn.
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-setup-matt-pocock-skills
hedysom
Sets up an `## Agent skills` block in AGENTS.md/CLAUDE.md and `docs/agents/` so the engineering skills know this repo's issue tracker (GitHub or local…
SkillCFreshness: CClaude Code +9
Signals
- Stars
- 0
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Apr 28, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/hedysom/pi-mattpocock-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from hedysom
- 0.474score
mattpocock-obsidian-vault
hedysom
Search, create, and manage notes in the Obsidian vault with wikilinks and index notes.
SkillCFreshness: CClaude Code +9 - 0.474score
mattpocock-scaffold-exercises
hedysom
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting.
SkillCFreshness: CClaude Code +9 - 0.474score
mattpocock-setup-pre-commit
hedysom
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo.
SkillCFreshness: CClaude Code +9 - 0.455score
mattpocock-git-guardrails-claude-code
hedysom
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute.
SkillCFreshness: CClaude Code +9 - 0.455score
mattpocock-diagnose
hedysom
Disciplined diagnosis loop for hard bugs and performance regressions.
SkillCFreshness: CClaude Code +9 - 0.450score
mattpocock-migrate-to-shoehorn
hedysom
Migrate test files from `as` type assertions to @total-typescript/shoehorn.
SkillCFreshness: CClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get mattpocock-design-an-interface running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
mattpocock-design-an-interface skill. Agent Mart. https://agentmart.dev/skills/hedysom-mattpocock-design-an-interface (last updated 2026-10-24)