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data_cleaning

Name: data_cleaning
Author: benchflow-ai

by benchflow-ai897173GitHub

Clean messy tabular datasets with deduplication, missing value imputation, outlier handling, and text processing. Use when dealing with dirty data that has duplicates, nulls, or inconsistent formatting.

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Claude Code

~/.claude/skills/

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~/.codex/skills/

Gemini CLI

~/.gemini/skills/

OpenCode

~/.opencode/skills/

OpenClaw

~/.openclaw/skills/

GitHub Copilot

~/.copilot/skills/

Cursor

~/.cursor/skills/

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~/.codeium/windsurf/skills/

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~/.cline/skills/

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~/.roo/skills/

Kiro

~/.kiro/skills/

Junie

~/.junie/skills/

Augment Code

~/.augment/skills/

Warp

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Goose

~/.config/goose/skills/

SKILL.md

Data Cleaning Framework

Comprehensive, modular data cleaning framework for tabular datasets. Provides strategy-based cleaning operations including deduplication, missing value imputation, text processing, and outlier handling through a configurable pipeline.

API

from data_cleaning import CleaningStrategies, DataCleaningPipeline

Source: https://github.com/benchflow-ai/SkillsBench#tasks_no_script-trend-anomaly-causal-inference-environment-skills-data_cleaning

Content curated from original sources, copyright belongs to authors

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WORKS WITH

Claude

Codex

Gemini