data-cleaning-pipeline-generator
Generates data cleaning pipelines for pandas/polars with handling for missing values, duplicates, outliers, type conversions, and data validation. Use when user asks to "clean data", "generate data pipeline", "handle missing values", or "remove duplicates from dataset".
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install dexploarer-claudius-skills-data-cleaning-pipeline
Repository
Skill path: examples/intermediate/data-science-skills/data-cleaning-pipeline
Generates data cleaning pipelines for pandas/polars with handling for missing values, duplicates, outliers, type conversions, and data validation. Use when user asks to "clean data", "generate data pipeline", "handle missing values", or "remove duplicates from dataset".
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, Data / AI.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Dexploarer.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install data-cleaning-pipeline-generator into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Dexploarer/claudius-skills before adding data-cleaning-pipeline-generator to shared team environments
- Use data-cleaning-pipeline-generator for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.