What is the primary purpose of the Triadic Skill Loader?

It is a meta-skill designed to manage how other skills are loaded, ensuring that Claude uses a balanced triad of complementary abilities for every interaction.

Can I use this for specific programming languages?

Yes, the loader includes specific execution triads for domains like Clojure (using clj-kondo and Rama) and Reinforcement Learning.

How does the golden angle rotation strategy help?

The golden angle rotation ensures that the sequence of skills loaded across multiple interactions is as diverse and non-repeating as possible, maximizing the range of AI capabilities used.

What does GF(3) conservation mean in this context?

It refers to a mathematical principle where three skills with values of -1, 0, and +1 are loaded together, ensuring the total 'trit' sum is zero for balanced performance.

Triadic Skill Loader

Name: Triadic Skill Loader
Author: plurigrid

byplurigrid

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개발자 도구

Orchestrates AI capabilities by loading balanced triads of specialized skills using GF(3) mathematical conservation principles.

소개

The Triadic Skill Loader is a sophisticated meta-orchestration tool for Claude Code designed to optimize system behavior through the simultaneous activation of three complementary skills. By adhering to GF(3) conservation laws—where a minus, ergodic, and plus skill must sum to zero—it ensures that every interaction is cognitively balanced and multi-dimensional. Utilizing a golden angle rotation strategy for selection, it prevents repetitive patterns and encourages emergent intelligence across domains like topology, category theory, and advanced software architecture. This tool is ideal for developers working on complex, multi-layered systems who require a holistic and mathematically grounded approach to AI-assisted problem solving.

주요 기능

Cross-language integration with Python, Babashka, and Julia support.
2 GitHub stars
Emergent capability modeling through synergistic skill interleaving.
Golden angle rotation strategy for optimal skill distribution across interactions.
Balanced skill loading using GF(3) conservation (Minus/Ergodic/Plus).
Domain-specific triads for Clojure development, Topology, and RL environments.

사용 사례

Enhancing research workflows involving sheaf cohomology and category theory.
Automating the selection of relevant development tools based on mathematical balance.
Managing complex AI cognitive states during advanced system architecture design.

소개

주요 기능

Cross-language integration with Python, Babashka, and Julia support.
2 GitHub stars
Emergent capability modeling through synergistic skill interleaving.
Golden angle rotation strategy for optimal skill distribution across interactions.
Balanced skill loading using GF(3) conservation (Minus/Ergodic/Plus).
Domain-specific triads for Clojure development, Topology, and RL environments.

사용 사례

Enhancing research workflows involving sheaf cohomology and category theory.
Automating the selection of relevant development tools based on mathematical balance.
Managing complex AI cognitive states during advanced system architecture design.