From python-api
Generates multiple radically different interface designs for modules or APIs using parallel sub-agents. Use when designing APIs, exploring options, comparing module shapes, or 'design it twice'.
How this skill is triggered — by the user, by Claude, or both
Slash command
/python-api:design-an-interfaceThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
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.
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).
npx claudepluginhub cdcoonce/claude-workflow --plugin python-apiGenerates multiple radically different API/module interface designs using parallel sub-agents, then compares trade-offs. Use when exploring interface options or designing a module.
Design a module's interface using parallel sub-agents for radically different designs. Compare on depth, simplicity, and efficiency, then grill the synthesis. Use for new APIs, refactors, or interface decisions.
DEPRECATED. Guides interface design exploration by generating radical design alternatives in parallel, comparing trade-offs, and synthesizing insights.