How does multi-model routing benefit developers?

It optimizes performance and cost by selecting the best model for the job—such as using Gemini for massive context analysis and Codex for rapid code prototyping and sandbox testing.

What is the role of ruv-swarm in this skill?

Ruv-swarm is used for parallel execution, allowing the orchestrator to run multiple independent tasks like linting, security scans, and unit testing simultaneously to save time.

What is a workflow cascade in Claude Code?

A cascade is a structured series of stages where specialized AI models and micro-skills work together to complete complex software engineering tasks that a single prompt cannot handle.

Can Cascade Orchestrator automatically fix broken code?

Yes, through its Codex Sandbox Iteration stage, it can run test suites and iteratively apply fixes to code failures until the requirements are met.

Does it maintain context between different steps?

Yes, it includes a memory persistence layer that stores intermediate results and learned patterns, ensuring the AI maintains a cohesive understanding across the entire workflow.

Cascade Orchestrator

Name: Cascade Orchestrator
Author: DNYoussef

byDNYoussef

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생산성 및 워크플로

Manages sophisticated multi-step AI workflows using sequential pipelines, parallel execution, and intelligent multi-model routing.

소개

The Cascade Orchestrator skill enables Claude to execute complex, production-grade development processes by coordinating specialized micro-skills and diverse AI models like Gemini and Codex. It provides a robust architectural framework for building reliable AI cascades, featuring Codex sandbox iteration for automated code fixing, ruv-swarm for high-concurrency parallel tasks, and persistent memory to maintain deep context throughout the software development lifecycle. This skill is essential for developers looking to automate high-level workflows such as legacy code modernization, comprehensive security audits, and automated CI/CD pipelines.

주요 기능

Automated GitHub CI/CD and Pull Request integration
Swarm-Parallel execution via ruv-swarm MCP integration
1 GitHub stars
Codex Sandbox Iteration for automated testing and code fixing
Intelligent Multi-Model Routing (Gemini, Codex, Claude)
Persistent shared memory across all workflow stages

사용 사례

End-to-end development workflows from research to pull request creation
Large-scale legacy code modernization and codebase-wide refactoring
Intelligent bug fixing with automated root cause analysis and validation

소개

주요 기능

Automated GitHub CI/CD and Pull Request integration
Swarm-Parallel execution via ruv-swarm MCP integration
1 GitHub stars
Codex Sandbox Iteration for automated testing and code fixing
Intelligent Multi-Model Routing (Gemini, Codex, Claude)
Persistent shared memory across all workflow stages

사용 사례

End-to-end development workflows from research to pull request creation
Large-scale legacy code modernization and codebase-wide refactoring
Intelligent bug fixing with automated root cause analysis and validation