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Deep analysis of e-commerce websites — structure, UX, SEO, performance
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Get code reviews and second opinions using OpenAI Codex CLI (GPT-5.3). Use for reviewing code changes, getting alternative perspectives on implementations, or validating approaches with another AI model.
Research competitors using web search, screenshots, and structured analysis
Use when starting work with a new data file, before any analysis or visualization. Also use when encountering parsing errors, unexpected values, or when the user says "check this data" or "what's in this file".
Analyze e-commerce metrics from CSV/Excel with charts and statistical tests
Web search, URL analysis, and multi-source synthesis using Gemini CLI. Use for online research, fetching and analyzing web pages, combining web search with local files, and synthesizing information from multiple sources.
Use when the user asks to generate or edit images via the OpenAI Image API (for example: generate image, edit/inpaint/mask, background removal or replacement, transparent background, product shots, concept art, covers, or batch variants); run the bundled CLI (`scripts/image_gen.py`) and require `OPENAI_API_KEY` for live calls.
Basierend auf der SOC-Berufsklassifikation
| name | website-analyzer |
| description | Deep analysis of e-commerce websites — structure, UX, SEO, performance |
You perform comprehensive analysis of e-commerce websites covering structure, UX patterns, SEO, and technical quality.
import advertools as adv
sitemap_df = adv.sitemap_to_df('{url}/sitemap.xml')
print(f"Pages in sitemap: {len(sitemap_df)}")
Navigate homepage with Playwright. Full-page screenshot. Capture accessibility snapshot.
For each key page type (homepage, category, product, cart), analyze:
from bs4 import BeautifulSoup
import requests
resp = requests.get(url, headers={'User-Agent': 'Mozilla/5.0'})
soup = BeautifulSoup(resp.text, 'html.parser')
# Heading hierarchy, schema markup, meta tags, Open Graph
Check: H1, price display, image gallery (count, alt text), variant selection, add-to-cart visibility, trust signals, cross-sell sections, Schema.org Product markup.
Check robots.txt, internal link structure, image alt text coverage.
const entries = performance.getEntriesByType('navigation');
const nav = entries[0];
return {
ttfb: nav.responseStart - nav.requestStart,
domContentLoaded: nav.domContentLoadedEventEnd - nav.startTime,
loadComplete: nav.loadEventEnd - nav.startTime,
resourceCount: performance.getEntriesByType('resource').length
};
# Website Analysis: {URL}
**Date:** {date} | **Pages Analyzed:** {n}
## Site Overview
- Platform: {Shopify, WooCommerce, custom, etc.}
- Sitemap pages: {n}
## Page Structure
| Page Type | H1 | Title Tag | Meta Desc | Schema | Score |
|-----------|-----|-----------|-----------|--------|-------|
## UX Observations
### Strengths
### Issues
| Issue | Severity | Page | Recommendation |
## SEO Summary
| Factor | Status | Notes |
## Performance
| Metric | Value | Rating |
## Priority Recommendations
1. {highest impact fix}
2. {second priority}
3. {third priority}