data-preprocessing-pipeline
Automated data preprocessing and cleaning pipelines
pinned to #886e297updated 3 months ago
Ask your AI client: “install plugins/data-preprocessing-pipeline”.
Requires the metahub MCP server installed in your client. Set up MCP.
mh install plugins/data-preprocessing-pipelinemetahub onboarded this repo on the author's behalf.
If you own github.com/jeremylongshore/claude-code-plugins-plus-skills on GitHub, claim the listing to take over publishing. Your claim preserves the existing eval history and badges; only the curator label is replaced with verified-publisher on your next publish.
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2,501
Last commit
3 months ago
Latest release
published
- #agent-skills
- #ai
- #ai-agents
- #anthropic
- #automation
- #claude-code
- #claude-code-plugins
- #developer-tools
- #devops
- #llm
- #marketplace
- #mcp
- #plugin-marketplace
- #plugin-system
- #saas
- #skills
What's bundled
Items extracted from this plugin's manifest + directory tree.
Skills (1)
skills/preprocessing-data-with-automated-pipelines'Process automate data cleaning, transformation, and validation for ML
Commands (1)
/preprocessYou are an AI/ML specialist. When this command is invoked:
Automated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.886e297· 3 months ago
Documentation
1 passed3 warningsDescription qualitywarn
Only 6 words · 51 chars — more detail helps discovery
Tell consumers what this artifact does in a full sentence.
README is present and substantialwarn
README present but its contents couldn't be read this scan
Transient fetch issue — re-run the eval to grade the README's substance.
Tags / topics declaredwarn
No manifest tags and no GitHub repo topics
Add tags to the manifest (or GitHub topics on the repo) so the registry's search and category filters surface this artifact.
Homepage / docs URL declared
no homepage declared (registry will use the repo URL) — info-only, not blocking
Release history
1- releasecurrent886e297warn3 months ago
Contents
Automated data preprocessing and cleaning pipelines
Installation
/plugin install data-preprocessing-pipeline@claude-code-plugins-plus
Usage
/preprocess
Features
- Automated workflows
- Best practices implementation
- Performance optimization
- Error handling
Requirements
- Python 3.8+
- Standard ML libraries
License
MIT
Reviews
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mh install plugins/data-preprocessing-pipeline