model-explainer
Model interpretability and explainability using SHAP, LIME, feature importance, and partial dependence plots. Activates for "explain model", "model interpretability", "SHAP", "LIME", "feature importance", "why prediction", "model explanation". Generates human-readable explanations for model predictions, critical for trust, debugging, and regulatory compliance.
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install anton-abyzov/specweave/model-explainerskilz install anton-abyzov/specweave/model-explainer --agent opencodeskilz install anton-abyzov/specweave/model-explainer --agent codexskilz install anton-abyzov/specweave/model-explainer --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/anton-abyzov/specweavecp -r specweave/plugins/specweave-ml/skills/model-explainer ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- anton-abyzov (GitHub)
- Repository
- specweave
- Stars
- 14
- Forks
- 2
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- machine learning
- Market Score
- 23
Browse Category
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