casting-policy

Enforce AI agent assignment limits across fictional universes via JSON configuration.

3|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/bradygaster/docx-mcp-server --skill casting-policy-bradygaster
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: casting-policy
Source: https://github.com/bradygaster/docx-mcp-server/tree/main/.squad/templates
Command: npx skills add https://github.com/bradygaster/docx-mcp-server --skill casting-policy-bradygaster

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill defines the rules for how AI agents are assigned to specific "universes" (like movie franchises or TV shows) and sets limits on how many agents can be assigned to each universe.

Core Features & Use Cases

  • Universe Allowlisting: Specifies which fictional universes agents can be assigned to.
  • Capacity Management: Sets maximum agent counts per universe to prevent over-saturation.
  • Use Case: Ensures that when forming an AI team for a task related to "Star Wars," no more than 12 agents are assigned, maintaining a balanced and focused team.

Quick Start

Review the casting policy to understand universe assignments and capacity limits.

Frequently Asked Questions about casting-policy

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

FAQPage Schema
How do I limit AI agent assignment to specific fictional universes?

You can limit AI agent assignment by defining a universe allowlist in a JSON configuration file. This restricts which fictional universes agents can be assigned to during team formation and agent orchestration scenarios.

What is capacity management for AI agent orchestration?

Capacity management for AI agent orchestration sets maximum agent counts per universe to prevent over-saturation. By enforcing these capacity constraints, you maintain a balanced and focused team for specific tasks.

How do I configure capacity limits for AI team formation?

You configure capacity limits by providing a JSON configuration that defines maximum agent counts per universe. This ensures your AI team formation respects the specified capacity constraints for each fictional universe.

Can I use a casting policy to prevent over-saturation of agents in one universe?

Yes, a casting policy prevents over-saturation by enforcing capacity constraints across your defined universe allowlist. For example, it can ensure no more than 12 agents are assigned to a Star Wars related task.

Do I need JSON configuration to set up universe allowlisting for AI agents?

Yes, JSON configuration is required to set up universe allowlisting and define capacity limits. This configuration specifies which fictional universes are allowed and the maximum number of agents permitted per universe.

When do I need to enforce capacity constraints for AI agent assignment?

You need to enforce capacity constraints during team formation and agent orchestration scenarios. This prevents too many agents from being assigned to a single fictional universe, ensuring your AI team remains balanced and focused.