skill-082-product-feed-title-optimization

skill-082-product-feed-title-optimization is a skill for Claude Code from TrueClicks/claude-plugins. It costs 27 tokens per session (594 once invoked), scanned A, original, MIT.

A review of product titles in a shopping feed, the catalogue data Google uses to create product ads. It checks for a structure such as brand, product type, and important attributes.

In plain words
What is it for?
Use it to inspect titles from Shopping and Performance Max campaigns and compare their wording with product impressions, clicks, and conversions.
Why use it?
Incomplete or unclear titles can make products harder to match with relevant searches and reduce their visibility. It shows which high-impression titles need improvement.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the google-ads plugin — 145 skills, 4 commands shipped together

Good fit Use it to inspect titles from Shopping and Performance Max campaigns and compare their wording with product impressions, clicks, and conversions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/trueclicks/claude-plugins/skill-082-product-feed-title-optimization
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add TrueClicks/claude-plugins --skill skill-082-product-feed-title-optimization
Clone the repo
git clone --depth 1 https://github.com/TrueClicks/claude-plugins

Made for: Claude Code.

Or install google-ads, the plugin that ships this one along with the rest of its 145 skills, 4 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for skill-082-product-feed-title-optimization

README.md
[![agentmods](https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-082-product-feed-title-optimization/github.svg)](https://agentmods.dev/skills/trueclicks/claude-plugins/skill-082-product-feed-title-optimization)
Your own site
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-082-product-feed-title-optimization"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-082-product-feed-title-optimization/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for skill-082-product-feed-title-optimization

Your own site · 80×15
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-082-product-feed-title-optimization"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-082-product-feed-title-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 594 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.00594
Opus 5.5 $0.00011 $0.00238
Sonnet 5.5 $0.00005 $0.00119
Haiku 4.5 $0.00003 $0.00059

Measured 21d ago against content hash 9a73b7d44378, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-082-product-feed-title-optimization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 21d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/google-ads/skills/skill-082-product-feed-title-optimization/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill 082: Product Feed Title Optimization

Purpose

Audit product feed titles to ensure they follow the Brand + Product Type + Key Attributes format. Well-structured titles improve search relevance, click-through rates, and product visibility in Shopping and Performance Max campaigns.

Data Requirements

Data Source: Custom GAQL Required

The standard export does not include detailed product feed data.

GAQL Query:

SELECT
  campaign.name,
  campaign.advertising_channel_type,
  segments.product_title,
  segments.product_brand,
  segments.product_type_l1,
  segments.product_type_l2,
  metrics.impressions,
  metrics.clicks,
  metrics.conversions
FROM shopping_performance_view
WHERE campaign.advertising_channel_type IN ('SHOPPING', 'PERFORMANCE_MAX')
  AND segments.date DURING LAST_30_DAYS
  AND metrics.impressions > 0
ORDER BY metrics.impressions DESC
LIMIT 1000

Run via /google-ads:get-custom with query name product_titles.

Note: Full product feed data requires Merchant Center access.

Analysis Steps

  1. Extract product titles: Pull titles from shopping_performance_view.
  2. Analyze title structure: Check for Brand at start, Product Type, Key Attributes.
  3. Pattern detection: Identify missing brand, generic titles, keyword stuffing.
  4. Performance correlation: Compare CTR of well-structured vs poorly-structured titles.

Thresholds

Condition Severity
Title missing brand name Critical
Title < 30 characters Critical
Contains SKU/internal codes Critical
Brand at end of title Warning
Missing product type Warning
Title > 150 characters (truncation) Warning
No attributes (color/size) Info

Output

Short (default):

## Product Feed Title Audit

**Account:** [Name] | **Products Analyzed:** [X] | **Issues:** [Y]

### Title Structure Summary
| Quality | Products | % |
|---------|----------|---|
| Excellent (Brand + Type + Attrs) | [X] | [%] |
| Fair (Brand + Type) | [X] | [%] |
| Poor (Missing elements) | [X] | [%] |

### Critical ([Count])
- **[Product Title]**: Missing brand -> Add "[Brand] [Title]"

### Recommendations
1. [Priority action]
2. [Secondary action]

Read the full file on GitHub · 87 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 21d ago First seen · 87 lines · 27 tokens per session scan A 9a73b7d44378

Subscribe to this mod's changes

skill-082-product-feed-title-optimization is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 27 tokens to every session and 594 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-08.

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