meta-governor

Classify requests and sequence AI skill execution with conflict prevention.

Updated Feb 12, 2026

Search Tags:#workflow #agent #orchestration #skill management #governance #execution control

Ready to run

npx skills add https://github.com/hadimiftahulf/antigravity-skills --skill meta-governor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: meta-governor
Source: https://github.com/hadimiftahulf/antigravity-skills/tree/main/meta-governor
Command: npx skills add https://github.com/hadimiftahulf/antigravity-skills --skill meta-governor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill acts as the central orchestrator, ensuring that the correct AI skills are activated in the proper sequence to handle user requests efficiently and safely.

Core Features & Use Cases

Skill Selection: Intelligently chooses the most appropriate skill(s) based on the user's request.
Execution Sequencing: Enforces a strict order of operations (e.g., Input Analysis -> Execution -> Review -> Delivery).
Conflict Prevention: Manages skill activation to prevent overlapping or contradictory actions.
Use Case: When you ask the agent to "debug a critical production issue," the meta-governor will first ensure context is healthy, then select the debug-protocol skill, and ensure it's executed before any review or delivery steps.

Quick Start

Let the meta-governor skill manage the activation and execution order of other skills for your request.

Frequently Asked Questions about meta-governor

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

FAQPage Schema

How do I manage AI agent skill execution order and prevent workflow conflicts?▼

To manage AI agent skill execution order and prevent workflow conflicts, use a central orchestrator to classify incoming requests and enforce a strict operational sequence. This ensures consistent output by selecting appropriate skills based on predefined policies, preventing overlapping actions.

What is skill orchestration and when do I need it for complex task execution?▼

Skill orchestration is the coordination of specialized AI agent skills through a managed lifecycle. You need it for complex task execution when multiple skills must be activated sequentially, such as ensuring context is healthy before triggering a debug protocol and subsequent review steps.

How to coordinate multiple AI agent skills to handle user requests safely?▼

To coordinate multiple AI agent skills safely, implement a governance layer that intelligently selects the most appropriate skills for user requests. This layer enforces a strict workflow from input analysis to delivery, managing skill activation to prevent contradictory actions.

Does this governance skill require any dependencies to manage execution control?▼

No, this governance skill does not require any dependencies to manage execution control. It operates independently to classify requests, enforce the execution sequence, and prevent conflicts within the agent's framework without relying on external components.

Limitations of using a centralized workflow governor for agent skill sequencing?▼

A centralized workflow governor for agent skill sequencing requires predefined policies to select appropriate skills. If the incoming request classification is ambiguous, the strict enforcement of the operational order may limit dynamic responses to unforeseen task conflicts.

Can I use skill management policies to enforce a strict sequence of operations?▼

Yes, you can use skill management policies to enforce a strict sequence of operations such as Input Analysis, Execution, Review, and Delivery. The meta-governor classifies requests and applies these policies to ensure correct skill activation and consistent output.