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Waishnav
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frontend-design-improvements-loop

Automates end-to-end benchmark iterations to improve frontend-design instructions.

13|Updated Feb 15, 2026
Search Tags:#codex#iteration#benchmark#experiments#frontend-design#prompt-tuning
One-click install
npx skills add https://github.com/Waishnav/self-improvement-frontend-design-skill-loop-for-codex --skill frontend-design-improvements-loop
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: frontend-design-improvements-loop
Source: https://github.com/Waishnav/self-improvement-frontend-design-skill-loop-for-codex/tree/main/.agents/skills/frontend-design-improvements-loop
Command: npx skills add https://github.com/Waishnav/self-improvement-frontend-design-skill-loop-for-codex --skill frontend-design-improvements-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates end-to-end benchmark iterations to improve frontend-design instructions without changing model weights.

Core Features & Use Cases

  • End-to-end benchmark loop orchestration within a single-track mutation framework.
  • Uses canonical prompt.md and isolated version-workspace under experiments/version-X to compare successive iterations.
  • Captures full-page screenshots for routes /1.. /5 and compiles CRITQUES.md and reference scores to guide improvements.

Quick Start

Start a new version under experiments/version-X and run the headless iteration with the canonical prompt to begin the benchmark loop.

Frequently Asked Questions about frontend-design-improvements-loop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I iterate frontend-design benchmarks to improve prompts without changing model weights?▼

Frontend-design benchmark iteration automates end-to-end experiment loops using canonical prompt.md and reference sets to evaluate prompt-tuning outcomes without modifying model weights.

What is a benchmark iteration loop for frontend-design experiments?▼

A benchmark iteration loop orchestrates sequential experiment versions under experiments/version-X, capturing full-page screenshots for routes /1.. /5 and compiling CRITIQUES.md with reference scores to guide improvements.

How do I start a benchmark iteration using a canonical prompt and version workspace?▼

Start a new isolated version workspace under experiments/version-X, provide the canonical prompt.md, place Opus-with-skill reference sets in references/, then run the headless iteration to begin the benchmark loop.

Do I need reference sets and a canonical prompt to run frontend-design benchmark experiments?▼

Yes, the full process requires the canonical prompt.md, a version workspace, and Opus-with-skill reference sets in references/ to drive evaluation, capture screenshots, and generate critique artifacts.

What's the best way to evaluate frontend-design prompt improvements across experiment versions?▼

The best way is comparing successive isolated experiment versions using Opus-with-skill reference sets, capturing full-page screenshots for routes /1.. /5, and compiling CRITIQUES.md with reference scores to guide improvements.

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