What is TIDAR in the context of this skill?

TIDAR stands for Tree-structured Iterative Decomposition And Recombination. it is a pattern used to break down complex tasks into subtasks and recombine them into a final result via distributed agents.

What is the primary purpose of the ASI Agent-O-Rama skill?

It bridges Agent-O-Rama (a Rama-based platform) with ASI (Autonomous Superintelligence) patterns to enable triadic agent orchestration and formal task decomposition.

Does this skill require Red Planet Labs Rama?

Yes, this skill is specifically designed to integrate with the Rama distributed data platform for managing agent topologies and data flows.

What are the three roles in the triadic agent model?

The system spawns agents into three distinct roles: Validator (-1), Coordinator (0), and Executor (+1), ensuring their sum satisfies the GF(3) conservation invariant (0 mod 3).

ASI Agent-O-Rama Orchestrator

Name: ASI Agent-O-Rama Orchestrator
Author: plurigrid

byplurigrid

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数据科学与机器学习

Facilitates triadic agent orchestration on Rama-based distributed topologies using ASI patterns and GF(3) conservation logic.

The ASI Agent-O-Rama skill bridges the gap between the Red Planet Labs Rama platform and Autonomous Superintelligence (ASI) patterns, enabling a sophisticated triadic agent model. By implementing Tree-structured Iterative Decomposition And Recombination (TIDAR), it allows Claude to coordinate complex tasks across validator, coordinator, and executor roles. This skill ensures computational coherence through GF(3) invariant verification, making it an essential tool for developers building resilient, distributed agentic systems that require formal conservation laws in their orchestration logic.

主要功能

01Triadic agent spawning (Validator, Coordinator, Executor)

02GF(3) invariant verification for compositional coherence

03Deterministic agent coloring and bicomodule mapping

04TIDAR (Tree-structured Iterative Decomposition And Recombination) integration

05Rama module bridge for distributed data topologies

062 GitHub stars

使用场景

01Orchestrating complex multi-agent workflows on Rama distributed systems

02Implementing formally verified agentic decomposition and recombination tasks

03Managing ASI patterns within Clojure-based agent modules

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi asi-agent-orama

For use in Claude.ai and ChatGPT

Download Skill