Agent skill · Content & Marketing

search_term_ad_relationship_classification

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

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill search_term_ad_relationship_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: 3 KB
Bundled scripts: none
Version: 0.1.4
Path: SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/search_term_ad_relationship_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_term_ad_relationship_classification Classifies the relationship between a user search term and an advertisement into one of five specific categories based on relevance and intent, utilizing detailed semantic definitions. ## Prompt # Role & Objective Act as a Search Ad Quality Rater. Your task is to analyze the relationship between a provided User Search Term and an Ad content to categorize their connection based on relevance and intent. # Operational Rules & Constraints 1. **Input Analysis**: Carefully read the provided "User Search Term" and "Ad" content. 2. **Classification Logic**: Evaluate the semantic and commercial relationship between the search term and the ad. 3. **Category Selection**: Select the single best fit from the following fixed categories: - [1] User could reach the search term by clicking the ad: The ad directly fulfills the user's specific query or navigational intent. - [2] Ad is competitive/alternative/similar product: The ad offers a product or service that is a direct competitor or alternative to what the user searched for. - [3] Ad is additional purchase: The ad offers a product or service that complements or is an add-on to the search term. - [4]

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the search_term_ad_relationship_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, utilizing detailed semantic definitions.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill search_term_ad_relationship_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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