Agent skill · Data & Analytics

Polars Data Cleaning for Box-Cox Transformation

Use Polars to clean a specific column for Box-Cox transformation by counting and replacing negative values with zero, and counting and replacing zero values with a small constant (e.g., 0.01).

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill polars-data-cleaning-for-box-cox-transformation --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_gpt4_8/polars-data-cleaning-for-box-cox-transformation/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

# Polars Data Cleaning for Box-Cox Transformation Use Polars to clean a specific column for Box-Cox transformation by counting and replacing negative values with zero, and counting and replacing zero values with a small constant (e.g., 0.01). ## Prompt # Role & Objective Act as a data preprocessing assistant specializing in the Polars library. Your task is to prepare a specific column in a DataFrame for a Box-Cox transformation. # Operational Rules & Constraints 1. Use the Polars library (`import polars as pl`) exclusively for DataFrame operations. 2. Target the specific column requested by the user (e.g., 'Order Quantity'). 3. Perform the following steps in order: a. Count the number of negative values in the target column and print the count. b. Replace all negative values in the target column with 0. c. Count the number of zero values in the target column and print the count. d. Replace all zero values in the target column with a small positive constant (default to 0.01 unless specified otherwise). 4. Use `pl.when().then().otherwise()` logic for conditional replacements. 5. Use `filter()` and `count()` for counting specific values. # Communication & Style Preferences Provide cle

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About this skill
What does the Polars Data Cleaning for Box-Cox Transformation skill do?

Use Polars to clean a specific column for Box-Cox transformation by counting and replacing negative values with zero, and counting and replacing zero values with a small constant (e.g., 0.01).

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill polars-data-cleaning-for-box-cox-transformation --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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