policy-management

Create, approve, monitor, and retire corporate policies as executable controls.

Updated Aug 22, 2026
One-click install
npx skills add https://github.com/fritzgeraldz/Vibe-Managing --skill policy-management-fritzgeraldz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: policy-management
Source: https://github.com/fritzgeraldz/Vibe-Managing/tree/main/skills/governance/policy-management
Command: npx skills add https://github.com/fritzgeraldz/Vibe-Managing --skill policy-management-fritzgeraldz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Policies often exist as static documents that nobody reads, attests to, or enforces. This Skill turns policy management into an evidence-backed operating discipline, covering the full lifecycle from identifying a policy need through approval, training, monitoring, and retirement. ## Core Features & Use Cases - Full Policy Lifecycle: Identify needs, define scope and owners, draft control requirements, review with specialists, approve, train, monitor, and version or retire policies. - Evidence-Backed Decisions: Every step produces evidence, confidence scores, and decision implications, with risk-adjusted value calculations and hard-constraint checks. - Governance Integration: Reads company, goals, strategy, metrics, and prior decisions, and escalates regulated interpretations to qualified legal or compliance specialists. - Use Case: A founder asks how to reduce stale policies and control exceptions. The agent diagnoses coverage gaps, compares remediation options against cash and risk constraints, and produces an approval-ready plan with monitoring thresholds. ## Quick Start Use the policy management skill to diagnose our current policy coverage and propose an approval and attestation plan within our risk limits.

Frequently Asked Questions about policy-management

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

FAQPage Schema
How do I create and manage corporate policies with an AI agent?▼

The policy management skill walks through identifying the policy need, defining scope and owner, drafting control requirements, specialist review, approval, training, monitoring, and retirement. Each step produces evidence, confidence, and a decision implication before continuing.

What is policy lifecycle management in corporate governance?▼

Policy lifecycle management covers drafting, approving, communicating, attesting, monitoring, and retiring policies as executable controls rather than static documents. This skill tracks KPIs like policy coverage, attestation rates, control exceptions, and stale policies.

Can an AI agent approve policies or make legal determinations?▼

No. The skill escalates regulated interpretation to qualified legal or compliance specialists and requires human approval for binding commitments, policy exceptions, and actions above budget or risk limits. Its autonomy ceiling is L2.

When should I not use a policy management skill?▼

Avoid it before benchmark-calibration establishes comparability, for legal or regulated determinations requiring a licensed specialist, and during active emergencies where the incident or crisis workflow takes command first.

How does the skill decide which policy option to recommend?▼

It ranks options by constraint compliance, risk-adjusted expected value, evidence confidence, time-to-value, and reversibility, simulating primary, downside, and stress cases in the Business Digital Twin before recommending the smallest viable action portfolio.