core-rules

Enforce supervisor-agent rules for delegation, gating, and parallel execution.

1|Updated Feb 6, 2026

Search Tags:#agents #orchestration #governance #throughput #parallelism #supervisor

Ready to run

npx skills add https://github.com/eron1703/claude-config-loader --skill core-rules

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: core-rules
Source: https://github.com/eron1703/claude-config-loader/tree/main/skills/core-rules
Command: npx skills add https://github.com/eron1703/claude-config-loader --skill core-rules

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a formal set of core supervisor rules to govern multi-agent orchestration, ensuring fast, parallel work and preventing bottlenecks.

Core Features & Use Cases

Four-layer gated model for loading capabilities: core, role-specific, default, and on-request.
Mandatory timer agent to monitor progress and keep agents from stalling.
Manager rhythm: launch all agents concurrently, with ongoing planning and partial result reporting.
Clear escalation and runtime governance to maximize throughput with safety checks.

Quick Start

Activate this skill to bootstrap the core supervisor rules at startup and begin orchestrating multi-agent tasks.

Frequently Asked Questions about core-rules

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

FAQPage Schema

How do I prevent bottlenecks in multi-agent orchestration during parallel execution?▼

Multi-agent orchestration bottlenecks are prevented by enforcing core supervisor rules that maximize throughput and parallelism. This includes a mandatory timer agent to monitor progress and continuous restart mechanisms with strict timeouts to keep agents from stalling.

What is the four-layer gated model for loading agent capabilities?▼

The four-layer gated model is a structured knowledge framework consisting of core, role-specific, default, and on-request layers. It governs how capabilities are loaded and applied during multi-agent delegation and parallel execution.

How do I set up a supervisor agent to manage concurrent task delegation?▼

Supervisor agent setup involves activating core rules that launch all agents concurrently with a manager rhythm of ongoing planning and partial result reporting. This requires implementing gating mechanisms and a timer agent to enforce strict timeouts and continuous progress rules.

Does multi-agent parallel execution require a dedicated timer agent?▼

Multi-agent parallel execution requires a dedicated timer agent under these core supervisor rules. The timer agent monitors progress and enforces continuous restart mechanisms with strict timeouts to ensure agents do not stall during delegated tasks.

What is the best way to maximize throughput in multi-agent tasks?▼

Maximizing throughput in multi-agent tasks is best achieved through formal supervisor rules that enforce concurrent agent launches, ongoing planning, and partial result reporting. Clear escalation and runtime governance with safety checks ensure fast parallel work without bottlenecks.

When should I use a supervisor model for multi-agent orchestration?▼

A supervisor model for multi-agent orchestration should be used when tasks involve delegation, gating, and parallel execution across many agents. It applies strict timeouts and progress rules to maximize throughput and prevent stalling in complex delegated workflows.