product-page-conversion-review-ecommerce
Reviews e-commerce product pages from URLs, screenshots, reviews, product facts, and competitor references to find clarity, trust, proof, objection, and…
Skill by mardab96
Chalk Labs
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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/mardab96-product-page-conversion-review-ecommerce
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.
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About
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/product-page-conversion-review-ecommerce
What's inside
- Skill name
product-page-conversion-review-ecommerce- Description
- Reviews e-commerce product pages from URLs, screenshots, reviews, product facts, and competitor references to find clarity, trust, proof, objection, and buying-friction issues. Use when product page conversion is weak or before sending more traffic to a product.
- License
- MIT
- Instructions
- 117 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Product Page Conversion Review - E-commerce ## Use this skill when The user wants to improve or audit a product detail page. Common requests: - "Audit this product page." - "Why is this PDP not converting?" - "Review this page before we scale ads." - "Find what buyers need before purchasing." ## Required input Minimum useful input: - Product page URL or screenshots. - Product category and price point. - Target customer. - Product facts, specs, variants, sizing, or compatibility details. - Current conversion issue or business goal. Optional: - Top reviews. - Support questions. - Return reasons. - Competitor pages. - Traffic source and device mix. ## Before analysis 1. Confirm the target buyer and purchase intent. 2. Confirm whether the page is for cold traffic, warm traffic, search traffic, or returning customers. 3. Separate missing product information from weak copy. 4. Avoid rewriting claims without product evidence. ## Analysis workflow 1. Review above-the-fold clarity: - what the product is - who it is for - why it is different - price and offer clarity - primary CTA visibility 2. Check decision support: - images and video - specs - sizing or compatibility - delivery and returns - FAQs - reviews and proof 3. Mine objections from reviews, tickets, and returns. 4. Compare the page against buyer questions, not generic page-length advice. 5. Prioritize edits by likely buyer uncertainty reduced. ## Decision and evidence standard Every finding should include: - Evidence tag: `export`, `screenshot`, `url`, `review_cluster`, `support_ticket`, `return_reason`, `policy`, `feed_diagnostics`, `margin_csv`, `inventory_export`, `hypothesis`, or `needs_data`. - Severity: low, medium, high, or critical. - Confidence: low, medium, or high. - Business impact: revenue, margin, cashflow, retention, conversion, support_load, or risk. - Effort: XS, S, M, or L. - Owner decision: do_now, test, investigate, monitor, ignore, or approval_needed. If the evidence is weak, mark the finding as `hypothesis` or `needs_data` and lower confidence. ## Output format ### PDP verdict Short verdict with the top 3 blockers. ### Review table | Area | Issue | Evidence | Recommended fix | Priority | |---|---|---|---|---| ### Buyer questions not answered List unanswered questions that likely affect purchase confidence. ### Page edit brief A concise brief for the person editing the page. ## Example input and output Input: - product page URL - product facts and specs - top 20 reviews - target customer - traffic source Good output excerpt: | Finding | Evidence | Severity | Confidence | Business impact | Effort | Owner decision | |---|---|---|---|---|---|---| | Above-the-fold copy does not explain who the product is for | `url`, `screenshot` | high | medium | conversion | S | test | | Compatibility questions appear in reviews but not on the page | `review_cluster`, `url` | high | high | conversion/support_load | M | do_now | What not to do yet: invent product claims, testimonials, or urgency that is not supported by source material. ## Guardrails - Do not fabricate product claims. - Do not invent reviews or testimonials. - Do not recommend aggressive urgency unless the offer truly supports it. - Do not make legal, medical, nutritional, financial, or safety claims without source material. - Do not edit live pages without approval.
From mardab96/ecommerce-claude-skills, MIT.
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Signals
- Stars
- 7
- Forks
- 3
- Open issues
- 0
- Last commit (this folder)
- Jun 1, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Produces a weekly e-commerce owner readout from exported store, analytics, ads, email/SMS, inventory, support, and returns summaries.
SkillBFreshness: B★ 7Claude Code +9 - 0.584score
ai-shopping-readiness-ecommerce
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Checks whether a store's product data, policies, and structured markup can be read and represented correctly by AI shopping assistants and agentic checkout…
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catalog-content-audit-ecommerce
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Cite this page
product-page-conversion-review-ecommerce skill. Agent Mart. https://agentmart.dev/skills/mardab96-product-page-conversion-review-ecommerce (last updated 2026-10-24)