Skills product-feed-optimizer
๐Ÿ“ฆ

product-feed-optimizer

v19.0.0 Content revision r2 Safe ๐Ÿ“ Filesystem accessโš™๏ธ External commands๐ŸŒ Network access

Optimize Product Feeds for Shopping Campaigns

Shopping campaigns can lose visibility when product feeds contain missing attributes, incorrect prices, or policy risks. This skill reviews feed data and produces clear, truthful fixes for Merchant Center and Performance Max workflows.

Supports: Claude Codex Code(CC)
๐Ÿฅ‰ 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "product-feed-optimizer" from https://skillstore.io/skills/aaron-he-zhu-product-feed-optimizer.md and its manifest at https://skillstore.io/api/skills/aaron-he-zhu-product-feed-optimizer/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Test it

Using "product-feed-optimizer". A product is disapproved because its feed price differs from its landing-page price.

Expected outcome:

  • Item: Trail Shoe Blue
  • Cause: Feed price does not match the landing page.
  • Fix: Verify the source price and update the feed only after confirming the correct value.

Using "product-feed-optimizer". A feed title is "Blue running shoes for men" with brand and size available in the product data.

Expected outcome:

  • Suggested title: Brand Name Men's Running Shoes, Blue, Size 10
  • Reason: The revision front-loads verified brand, product type, color, and variant details.

Security Audit

Safe
v6 โ€ข 7/27/2026 Open versioned report

All 52 static findings are false positives caused by Markdown formatting, documentation links, and homepage metadata. The skill instructs local analysis of user-supplied product-feed data and explicitly treats exported content as untrusted input; no prompt injection, credential collection, data exfiltration, or executable command was found.

2
Files scanned
215
Lines analyzed
0
Review items
0
False positives ignored
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: claude View Audit History โ†’
Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report
Security Assessment

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https://skillstore.io/skills/aaron-he-zhu-product-feed-optimizer/audits/6?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA ยท BibTeX ยท CFF)

APA citation

aaron-he-zhu. (2026). product-feed-optimizer security audit report (audit version 6) [Author version 19.0.0]. Skillstore. https://skillstore.io/skills/aaron-he-zhu-product-feed-optimizer/audits/6

BibTeX citation

@techreport{aaron-he-zhu-aaron-he-zhu-product-feed-optimizer-2026, author = {aaron-he-zhu}, title = {product-feed-optimizer security audit report (audit version 6)}, institution = {Skillstore}, year = {2026}, number = {6}, url = {https://skillstore.io/skills/aaron-he-zhu-product-feed-optimizer/audits/6}, note = {Author version 19.0.0} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "product-feed-optimizer security audit report (audit version 6)" version: "19.0.0" type: report authors: - name: "aaron-he-zhu" date-released: "2026-07-27" url: "https://skillstore.io/skills/aaron-he-zhu-product-feed-optimizer/audits/6" identifiers: - type: other value: "skillstore:aaron-he-zhu-product-feed-optimizer:audit:6" description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: Medium
41
Architecture
100
Maintainability
87
Content
67
Community
100
Spec Compliance

What You Can Build

Repair Merchant Center disapprovals

Map each disapproved product to a likely cause and a specific remediation step.

Improve catalog quality before a campaign

Review attributes, titles, prices, and availability before launching Shopping or Performance Max.

Organize products for campaign segments

Create listing-group or asset-group recommendations based on brands, categories, and custom labels.

Try These Prompts

Check a feed export
Audit this product-feed export for missing required attributes and likely disapprovals. List each issue and its recommended fix.
Improve product titles
Rewrite these product titles using a truthful front-loaded pattern. Preserve the supplied brand, product type, specifications, and variants.
Triage diagnostics
Compare this Merchant Center diagnostics export with my feed. Create an item-by-item triage table with cause, evidence, and proposed fix.
Plan campaign segments
Using this approved product feed, propose Performance Max asset groups and listing groups based only on real feed fields. Flag segments with unresolved feed risks.

Best Practices

  • Provide the latest feed export, diagnostics report, and relevant landing-page information.
  • Confirm proposed changes against source product data before publishing the feed.
  • Keep a per-item record of unresolved attributes, claims, and policy risks.

Avoid

  • Do not create missing product identifiers, prices, inventory counts, or specifications.
  • Do not treat an optimized title as a substitute for fixing a disapproval.
  • Do not publish claim-bearing descriptions without approved evidence or wording.

Frequently Asked Questions

What files can I provide?
You can provide TSV, CSV, or XML feed exports, catalog diagnostics, disapproval lists, and product data.
Can it fix Merchant Center disapprovals?
It identifies likely causes and proposes fixes, but you must verify and submit changes yourself.
Will it invent missing GTINs?
No. Missing identifiers are flagged as needing a verified source.
Does it change prices automatically?
No. It flags mismatches and asks you to confirm the correct source value.
Can it create Performance Max groups?
It recommends group structures using real feed fields and highlights unresolved product risks.
Does it guarantee platform approval?
No. Advertising platforms make final policy and approval decisions.

Developer Details

License

Apache-2.0

Author version

v19.0.0

Skillstore revision

r2

Ref

0715a6e09ea875c8e28cb705ce87cc83045e69c1

Maintenance freshness

7/28/2026

Usage

3 downloads ยท 1 views

File structure

๐Ÿ“ references/

๐Ÿ“„ feed-title-patterns.md

๐Ÿ“„ SKILL.md

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