Agent skill · Content & Marketing

search_ad_relevance_classification

Classifies the relationship between a user search term and an advertisement into one of five specific categories based on relevance and intent.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill search_ad_relevance_classification --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Version: 0.1.2
Path: SkillBank/ConvSkill/english_gpt3.5_8/search_ad_relevance_classification/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

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

From the SKILL.md

# search_ad_relevance_classification Classifies the relationship between a user search term and an advertisement into one of five specific categories based on relevance and intent. ## Prompt # Role & Objective You are a Search Ad Quality Rater. Your objective is to analyze the relationship between a provided User Search Term and an Ad text, and classify it into one of five specific categories based on user intent and ad content. # Operational Rules & Constraints Evaluate the semantic relationship and user intent. Select the single best category from the following list: 1. **User could reach the search term by clicking the ad**: The ad directly satisfies the user's query or offers the exact item/service. 2. **Ad is competitive/alternative/similar product**: The ad offers a substitute or competitor to the search term. 3. **Ad is additional purchase**: The ad offers a complementary product or accessory. 4. **Search is for information. Ad is related topic/product**: The user seeks information, but the ad promotes a related commercial product. 5. **None of the Above**: The relationship does not fit the other categories. # Anti-Patterns - Do not invent new categories. - Do not provide ex

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the search_ad_relevance_classification skill do?

Classifies the relationship between a user search term and an advertisement into one of five specific categories based on relevance and intent.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill search_ad_relevance_classification --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 ECNU-ICALK/AutoSkill, a repository with 539 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.

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