# Explainability

> See the main Model Explainability skill for comprehensive XAI coverage.

- Author: GitHub Action
- Repository: AmnadTaowsoam/CerebraSkills
- Version: 20260130093005
- Stars: 1
- Forks: 0
- Last Updated: 2026-02-07
- Source: https://github.com/AmnadTaowsoam/CerebraSkills
- Web: https://mule.run/skillshub/@@AmnadTaowsoam/CerebraSkills~Explainability:20260130093005

---

---
name: Explainability
description: See the main Model Explainability skill for comprehensive XAI coverage.
---

# Explainability

This skill is covered in detail in the main **Model Explainability** skill.

Please refer to: `44-ai-governance/model-explainability/SKILL.md`

That skill covers:
- What is explainability and why it matters
- Types of explanations (global, local, counterfactual)
- SHAP (SHapley Additive exPlanations)
- LIME (Local Interpretable Model-agnostic Explanations)
- LLM explainability (attention weights, chain-of-thought)
- Presenting explanations to users
- Explainability for different audiences
- Trade-offs (accuracy vs explainability)
- Tools (SHAP, LIME, InterpretML, Captum, Alibi)
- Explainability in production
- Regulatory requirements (GDPR, AI Act)
- Implementation examples

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## Related Skills
- `44-ai-governance/model-explainability` (Main skill)
- `44-ai-governance/auditability`
- `44-ai-governance/human-approval-flows`