explainability-planning

What problem does it solve?

This Skill helps you systematically plan and document the explainability requirements for AI systems, ensuring transparency, compliance, and user trust.

Core Features & Use Cases

• Define XAI Needs: Identify and document explainability requirements based on domain, audience, and regulations (e.g., SHAP, LIME, GDPR).
• Framework Guidance: Provides a structured approach to understanding the explainability spectrum and relevant techniques.
• Use Case: Before deploying a loan application AI, use this Skill to document the necessary explanations for regulators, customers, and internal auditors, specifying which XAI techniques (like SHAP for feature importance) are required.

Quick Start

Use the explainability-planning skill to generate a template for documenting XAI requirements for a new AI system.