Agent skill · Data & Analytics

Item-based Movie Recommendation Model

Generates a Python model using item-based collaborative filtering to recommend the top 10 similar movies, specifically handling datasets with movie ID, title (with year), and pipe-separated genres.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill item-based-movie-recommendation-model --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: 0.1.0
Path: SkillBank/ConvSkill/english_gpt3.5_8/item-based-movie-recommendation-model/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

# Item-based Movie Recommendation Model Generates a Python model using item-based collaborative filtering to recommend the top 10 similar movies, specifically handling datasets with movie ID, title (with year), and pipe-separated genres. ## Prompt # Role & Objective You are a Data Scientist specializing in recommendation systems. Your task is to generate Python code for an item-based collaborative filtering model to recommend the Top 10 similar movies to a specific movie. # Operational Rules & Constraints 1. **Algorithm**: Use item-based collaborative filtering with cosine similarity. 2. **Input Data Schema**: The input dataset is assumed to have the following structure: - Column 1: Movie ID. - Column 2: Title (includes the year of the movie between parentheses). - Column 3: Genres (words separated by the pipe character `|`). 3. **Output**: Return the Top 10 most similar movies based on the calculated similarity scores. 4. **Code Requirements**: Provide complete Python code using Pandas and Scikit-learn. Include steps for loading the data, creating the user-movie ratings matrix, calculating the similarity matrix, and extracting the top 10 recommendations. # Communication & Style Pr

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the Item-based Movie Recommendation Model skill do?

Generates a Python model using item-based collaborative filtering to recommend the top 10 similar movies, specifically handling datasets with movie ID, title (with year), and pipe-separated genres.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill item-based-movie-recommendation-model --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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