Does this work with standard Claude Code plugins?

Ruler Maximal is specifically designed for the plurigrid/asi ecosystem and skills that adhere to the trit-based metadata standard.

How does Ruler Maximal improve Claude's performance?

It automates the process of pulling fresh skills and parallelizes tasks across them, ensuring that Claude is always using the most relevant and diverse set of tools for any given prompt.

What is the GF(3) balanced loading protocol?

It is a ternary mathematical approach that ensures every interaction loads one 'Generator' (+1), one 'Coordinator' (0), and one 'Validator' (-1) skill to maintain a balanced and functional cognitive state.

What happens if a skill is underutilized?

The skill includes a 'maximize!' function that tracks usage counts and forces the utilization of underused tools to ensure session-wide coverage of all capabilities.

Ruler Maximal Skill Orchestrator

Name: Ruler Maximal Skill Orchestrator
Author: plurigrid

byplurigrid

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Productivity & Workflow

Automates the balanced loading and maximal utilization of Claude skills using GF(3) mathematical logic for high-performance orchestration.

About

Ruler Maximal is a sophisticated meta-orchestrator designed for the asi framework that ensures all available skills are utilized at peak efficiency. By implementing a GF(3)-balanced auto-loading protocol, it automatically cycles through 'Generator', 'Coordinator', and 'Validator' skills (represented as Plus, Ergodic, and Minus trits) to maintain a perfectly balanced execution environment. It is ideal for complex, multi-domain workflows where Claude needs to manage a vast array of specialized capabilities without manual skill swapping, utilizing parallel task fanout to maximize output quality.

Key Features

2 GitHub stars
GF(3)-balanced auto-loading of three distinct skill types per interaction
Interstellar MPC composition for multi-skill collaborative execution
Automated task parallelization via high-performance tool fanout
Context-aware skill selection for domains like Blockchain, Category Theory, and Research
Real-time skill utilization tracking and status reporting

Use Cases

Orchestrating complex autonomous agent workflows involving multiple specialized plugins
Ensuring rigorous validation and coordination in category-theory-based research tasks
Maximizing parallel task execution during large-scale code refactoring and audits

About

Key Features

2 GitHub stars
GF(3)-balanced auto-loading of three distinct skill types per interaction
Interstellar MPC composition for multi-skill collaborative execution
Automated task parallelization via high-performance tool fanout
Context-aware skill selection for domains like Blockchain, Category Theory, and Research
Real-time skill utilization tracking and status reporting

Use Cases

Orchestrating complex autonomous agent workflows involving multiple specialized plugins
Ensuring rigorous validation and coordination in category-theory-based research tasks
Maximizing parallel task execution during large-scale code refactoring and audits