foryourhealth111-pixel/feature-importance-analyzer
bundled/skills/feature-importance-analyzer/SKILL.md
Explain which features drive a trained model's predictions. Use after a model exists and you need ranking, pruning, or interpretation; not for raw feature engineering or leakage checking.
$ install --global
skillsauthnpx skillsauth add foryourhealth111-pixel/vco-skills-codex feature-importance-analyzerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- feature-importance-analyzer
- description:
- |
- allowed-tools:
- Read, Write, Edit, Bash(python:*), Bash(pip:*)
- version:
- 1.0.0
- license:
- MIT
- author:
- Jeremy Longshore <[email protected]>
Feature Importance Analyzer
Purpose
Use this skill when the user asks why a model depends on some features more than others.
When to Use
Use this skill when:
- Ranking features after training a tree model, linear model, or ensemble
- Comparing permutation importance, built-in importance, or SHAP-style signals
- Deciding which features to keep, prune, or investigate further
Not For / Boundaries
- Creating new features from scratch: use
engineering-features-for-machine-learning - Checking whether a pipeline leaks future information: use
ml-data-leakage-guard - Full model benchmark suites: use
evaluating-machine-learning-models
Typical Outputs
- Ranked feature lists with interpretation notes
- Suggested pruning or follow-up analysis
- Warnings when importance may be unstable or misleading
Related Skills
evaluating-machine-learning-modelsfor the surrounding performance contextshapwhen deeper explanation plots are required
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