aia-generation

Automate AI impact assessments with risk analysis and regulatory classification.

1|Updated Jun 27, 2026
One-click install
npx skills add https://github.com/bomday/projetao-tatico --skill aia-generation-bomday
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aia-generation
Source: https://github.com/bomday/projetao-tatico/tree/main/claude-for-legal/ai-governance-legal/skills/aia-generation
Command: npx skills add https://github.com/bomday/projetao-tatico --skill aia-generation-bomday

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires regulatory-framework, ai-policy-commitments, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of conducting AI impact assessments, including structured intake, risk analysis, regulatory classification, and policy consistency checking.

Core Features & Use Cases

  • Structured Intake: Guides the user through a conversation to gather all necessary information for the assessment.
  • Regulatory Classification: Determines the applicable regulatory regimes and classifies the AI system accordingly.
  • Policy Consistency: Compares the AI system against AI policy commitments to ensure compliance.
  • Use Case: Ideal for legal professionals or AI governance teams conducting impact assessments on AI systems.

Quick Start

Generate an AI impact assessment for the use case "AI resume screening for HR".

Frequently Asked Questions about aia-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate an AI impact assessment for legal compliance?

To automate an AI impact assessment for legal compliance, you need a structured intake process to gather system details, perform regulatory classification, and check policy consistency against AI governance commitments to generate a comprehensive risk report.

What is regulatory classification in AI governance?

Regulatory classification in AI governance is the process of determining the applicable regulatory regimes for an AI system. It categorizes the system based on structured intake data to ensure it meets the necessary legal compliance and policy commitments.

How do I check AI policy consistency for new systems?

To check AI policy consistency for new systems, you compare the AI system's structured intake details against established AI policy commitments. This ensures the system aligns with internal governance rules and passes the impact assessment.

Do I need existing AI policy commitments to run an AI impact assessment?

Yes, you need existing AI policy commitments and regulatory frameworks to run an AI impact assessment. The Skill requires access to these dependencies to perform accurate policy consistency checking and regulatory classification.

What is the best way to conduct AI impact assessments at scale?

The best way to conduct AI impact assessments at scale is to automate the workflow using structured intake and regulatory classification. This approach ensures consistent policy checking and generates comprehensive reports without manual legal review bottlenecks.