Works with the AI tools you already use
Design Before Build — Stop Agents Coding the Wrong Thing
A wrong line of code costs a minute. A wrong design costs a rebuild.
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See it in action
You say
I need to build a customer portal for my SEO agency where clients can view their keyword rankings and download monthly PDF reports. Design before build.
Your agent does
I have created docs/DESIGN-customer-portal.md including a technical spec and an adversarial critique. I also generated a clickable prototype in mocks/index.html. The plan is broken into 6 tickets, starting with the Auth and PDF storage schema. Should we proceed to the build phase?
What you get
About this skill
The problem
LLMs often rush straight into writing code, resulting in architecture that misses edge cases or UI that doesn't match the client's vision. These mistakes are cheap to make but expensive to fix once implementation is underway.
What it does
- Drafts a technical design doc covering UX, data flow, security, and explicit out-of-scope boundaries.
- Performs a blunt adversary-style critique to surface hidden race conditions and unstated assumptions.
- Builds clickable, non-functional HTML mockups to get user sign-off before a single line of production code is written.
- Generates a granular ticket breakdown where each task has defined outcomes and constraints.
Why this beats prompting it yourself
Getting an agent to slow down and think critically requires a specific multi-step sequence that most users skip. This skill enforces a "design gate" that treats your tokens as a design budget, catching "that is not what I meant" errors while they are still free to fix.
Use cases
- Creating scope documents for freelance client work to prevent feature creep.
- Planning complex automations where race conditions or API timeouts are likely.
- Prototyping UI layouts to verify user flow before committing to a framework.
- Breaking down large feature requests into executable tickets for other agents.
Known limitations
This skill explicitly forbids writing production implementation code. It produces design artifacts and throwaway HTML mocks only.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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