skills.rest
HeadyAI
HeadyAIOFFICIAL
Explore all skills by this author →
WebsiteGitHub

heady-governance-atlas

Maps regulations, manages policies, and enforces governance for AI systems.

1|Updated Mar 24, 2026
Search Tags:#compliance#governance#policy-management#risk-classification#ai-governance#regulatory-mapping
One-click install
npx skills add https://github.com/HeadyAI/heady-context --skill heady-governance-atlas
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: heady-governance-atlas
Source: https://github.com/HeadyAI/heady-context/tree/main/heady-skills/heady-governance-atlas
Command: npx skills add https://github.com/HeadyAI/heady-context --skill heady-governance-atlas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design and operate a centralized framework to map regulations, manage policies, and enforce governance across complex AI systems.

Core Features & Use Cases

  • Governance framework for regulatory mapping and policy lifecycle
  • Centralized control plane with AI system registry, policy dashboards, and risk assessments
  • Integration points with sentinel, traces, observer, atlas, metrics, and MCP governance

Quick Start

Configure the Governance Atlas to map regulatory requirements to your services and start the policy lifecycle.

Frequently Asked Questions about heady-governance-atlas

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

FAQPage Schema
How do I map regulatory requirements to my AI systems?▼

To map regulatory requirements, configure a centralized governance atlas to align specific regulations with your AI services and initiate the policy lifecycle. This establishes a unified control plane for tracking compliance across your systems.

What is an AI governance control plane and how does it work?▼

An AI governance control plane centralizes your AI system registry, policy dashboards, and risk assessments into a single framework. It operates by integrating with monitoring tools to enforce policy lifecycle management across all deployments.

Can I use this framework to manage the policy lifecycle for MCP components?▼

Yes, you can manage the policy lifecycle for MCP components. The framework specifies front-to-back MCP governance across Heady components, integrating with heady-sentinel, traces, observer, atlas, metrics, and core systems.

How do I perform risk classification on my AI services?▼

Perform risk classification by utilizing the centralized governance dashboards and assessments within the control plane. The atlas maps your AI services against regulatory requirements to automatically categorize and evaluate system risks.

Does the governance atlas integrate with observability and tracing tools?▼

Yes, the governance atlas integrates with observability and tracing tools. It specifies direct integration points with heady-sentinel, heady-traces, heady-observer, heady-atlas, and heady-metrics to enforce policies across your AI systems.

Related Skills

Explore More Legal & Compliance Skills→
DTMC-marketplaceDTMC-marketplace

ai-system-registry

Log AI system details, risk classifications, and deployment status for EU AI Act compliance.

Official
Intermediate
ManuelvillarvieitesManuelvillarvieites

skill-developer

Automate creation, governance, and enforcement of Claude Code skills.

Community
Intermediate
HeadyAIHeadyAI
1

heady-audit-forge

Generate and preserve auditable evidence for regulatory compliance and external audits.

Official
Advanced
ivegamsftivegamsft

azure-policy

Author, manage, and enforce custom Azure Policy definitions and initiatives.

Community
Advanced