Verified:GitHub

skill-activation-policy

Manage skill activation, conflict resolution, and execution modes for AI agents.

Updated Feb 12, 2026

Search Tags:#skill management #conflict resolution #policy enforcement #agent control #execution strategy #lean execution

Ready to run

npx skills add https://github.com/hadimiftahulf/antigravity-skills --skill skill-activation-policy

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill acts as a central policy manager, defining the rules and conditions under which other skills are activated, ensuring efficient and controlled operation of the AI agent.

Core Features & Use Cases

Defines Activation Rules: Specifies which skills are always on, conditionally activated, or on-demand.
Manages Conflicts: Resolves overlaps between skills to prevent contradictory actions.
Controls Execution Modes: Switches between 'Lean Mode' (default) and 'Deep-Cycle Mode' for different levels of analysis.
Use Case: Ensures that critical safety skills like hallucination-guard are always active, while allowing more resource-intensive skills like deep-audit to be triggered only when explicitly requested or under specific conditions.

Quick Start

Use the skill-activation-policy to understand the rules for activating the debug-protocol skill.

Frequently Asked Questions about skill-activation-policy

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

FAQPage Schema

How do I manage AI agent skill activation and execution control?▼

Manage AI agent skill activation by defining rules for always-on, conditional, or on-demand states. This enforces policies for safe operation and ensures efficient execution across the agent's lifecycle.

What is the best way to resolve conflicts between overlapping AI agent skills?▼

Resolve conflicts between overlapping AI agent skills using a central policy manager that governs authority scopes and trigger words. This prevents contradictory actions and ensures controlled operation.

How do I switch between lean execution and deep-cycle analysis modes?▼

Switch between lean execution and deep-cycle analysis modes by controlling execution policies. Lean mode provides default operation, while deep-cycle mode triggers resource-intensive analysis only under specific conditions.

When do I need a policy manager for AI agent execution strategies?▼

You need a policy manager for AI agent execution strategies when you must enforce authority scopes, manage costs, and govern trigger words to ensure safe and efficient skill interactions.

Can I keep critical safety skills always active while keeping resource-intensive skills on-demand?▼

Yes, you can keep critical safety skills always active while restricting resource-intensive skills to on-demand activation. This policy enforcement ensures safe operation without wasting computational resources.

Why does my AI agent execute contradictory actions when multiple skills trigger at the same time?▼

Contradictory actions occur when overlapping skills trigger simultaneously without conflict resolution. Enforcing defined authority scopes and activation policies resolves overlaps to prevent conflicting execution.