brainstorming
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or planning anything new, in software or out of it (a talk, a business, a renovation).
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Development · SKILL.md
sklearn-pipeline-builder
sklearn-pipeline-builderBuild sklearn pipeline builder operations. Auto-activating skill for ML Training. Triggers on: sklearn pipeline builder, sklearn pipeline builder Part of the ML Training skill category. Use when working with sklearn pipeline builder functionality. Trigger with phrases like "sklearn pipeline builder", "sklearn builder", "sklearn".
Independent GitHub snapshot · Automated classification · Original documentation governs
Skill documentation
GitHubname: "sklearn-pipeline-builder" description: | Build sklearn pipeline builder operations. Auto-activating skill for ML Training. Triggers on: sklearn pipeline builder, sklearn pipeline builder Part of the ML Training skill category. Use when working with sklearn pipeline builder functionality. Trigger with phrases like "sklearn pipeline builder", "sklearn builder", "sklearn". allowed-tools: "Read, Write, Edit, Bash(python:), Bash(pip:)" version: 1.0.0 license: MIT author: "Jeremy Longshore jeremy@intentsolutions.io"
Sklearn Pipeline Builder
Overview
This skill provides automated assistance for sklearn pipeline builder tasks within the ML Training domain.
When to Use
This skill activates automatically when you:
- Mention "sklearn pipeline builder" in your request
- Ask about sklearn pipeline builder patterns or best practices
- Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.
Instructions
- Provides step-by-step guidance for sklearn pipeline builder
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Examples
Example: Basic Usage Request: "Help me with sklearn pipeline builder" Result: Provides step-by-step guidance and generates appropriate configurations
Prerequisites
- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of ml training concepts
Output
- Generated configurations and code
- Best practice recommendations
- Validation results
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Resources
- Official documentation for related tools
- Best practices guides
- Community examples and tutorials
Related Skills
Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn