Agent skill · Content & Marketing

product-feed-optimizer

Use when the user asks to "optimize my Shopping feed", "fix product disapprovals", "improve product titles/attributes", or "build feed-driven PMax asset groups"; audits and rewrites the Shopping/Performance Max product feed — title/description patterns, required and recommended attributes, GTIN/availability/price hygiene, disapproval triage, and feed-driven asset-group / listing-group structure — informing the ROAS O (Offer) dimension. Not for text ad copy — use ad-creative-builder; not for scoring the account or the RQS — use ad-account-auditor. 商品Feed优化/购物广告Feed/商品标题优化/商品禁投修复

aaron-he-zhugithub.com/aaron-he-zhuGitHub ↗
claude-codeApache-2.0
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill product-feed-optimizer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 12 KB
Bundled scripts: none
Version: 19.1.0
Requires: Claude Code and compatible agent-skill hosts
Path: ad/research/product-feed-optimizer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,508
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Product Feed Optimizer Audits and rewrites the Shopping / Performance Max product feed — title and description patterns, required and recommended attributes, GTIN/availability/price hygiene, disapproval triage, and feed-driven asset-group / listing-group structure. This is the research-phase skill that hardens the product data behind the ROAS **O (Offer)** dimension; it does not write text-ad copy (that is `ad-creative-builder`) and does not score the account or compute the RQS (that is `ad-account-auditor`). ## Quick Start ``` Audit my Shopping feed export for disapprovals and missing attributes: [path]. Goal is DR. ``` ``` Rewrite these product titles to a front-loaded pattern and fill the missing GTIN/brand/condition attributes. [feed CSV] ``` ``` Triage my Merchant Center disapprovals and group the approved products into PMax listing groups. [diagnostics export + feed] ``` ## Skill Contract **Expected output**: a feed remediation package — (1) a **disapproval / diagnostics triage** table (item → cause → fix), (2) **rewritten titles + descriptions** to a front-loaded attribute pattern, (3) an **attribute-completeness map** (required + recommended, per item, with the missing fi

What's inside
Steps it walks through
  1. Quick Start
  2. Skill Contract
  3. Handoff Summary
  4. Data Sources
  5. Instructions
  6. Save Results
  7. Reference Materials
  8. Next Best Skill
Ships with 1 file
  • references/feed-title-patterns.md
More from aaron-marketing-skills
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About this skill
What does the product-feed-optimizer skill do?

Use when the user asks to "optimize my Shopping feed", "fix product disapprovals", "improve product titles/attributes", or "build feed-driven PMax asset groups"; audits and rewrites the Shopping/Performance Max product feed — title/description patterns, required and recommended attributes, GTIN/availability/price hygiene, disapproval triage, and feed-driven asset-group / listing-group structure — informing the ROAS O (Offer) dimension. Not for text ad copy — use ad-creative-builder; not for scoring the account or the RQS — use ad-account-auditor. 商品Feed优化/购物广告Feed/商品标题优化/商品禁投修复

How do I install it?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill product-feed-optimizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From aaron-he-zhu/aaron-marketing-skills, a repository with 2,508 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going