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tfx-multi

Orchestrate multi-model AI agent teams for coding tasks from planning to fixing.

7|2|Updated Mar 18, 2026
Search Tags:#code review#codex#orchestration#pipeline#gemini#agent teams#multi-model ai
One-click install
npx skills add https://github.com/tellang/triflux --skill tfx-multi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tfx-multi
Source: https://github.com/tellang/triflux/tree/main/skills/tfx-multi
Command: npx skills add https://github.com/tellang/triflux --skill tfx-multi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill orchestrates complex coding tasks across multiple AI models (Codex, Gemini) and roles, streamlining development workflows and improving code quality through a structured pipeline.

Core Features & Use Cases

  • Multi-Model Orchestration: Seamlessly routes tasks to Codex and Gemini for specialized AI capabilities.
  • Pipeline Execution: Supports a thorough multi-phase task lifecycle including planning, execution, verification, and fixing.
  • Agent Teams: Manages native AI agent teams for collaborative task completion.
  • Use Case: Refactor a large codebase, improve its UI, and conduct a security review by delegating specific parts to Codex and Gemini agents, with automated verification and fixing loops.

Quick Start

Use the tfx-multi skill to refactor authentication, improve the UI, and perform a security review for your project.

Frequently Asked Questions about tfx-multi

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

FAQPage Schema
How do I orchestrate multi-model AI agent teams for complex coding tasks?▼

Multi-model AI orchestration routes complex coding tasks to specialized agents like Codex and Gemini. It manages a structured pipeline from planning to execution and verification, streamlining development workflows through collaborative task completion.

What is the pipeline execution process for AI-driven code review and refactoring?▼

Pipeline execution for AI code review follows a thorough multi-phase task lifecycle. It moves through planning, execution, verification, and fixing phases, ensuring robust error handling and automated cleanup protocols to improve code quality.

Can I use Codex and Gemini together for a single codebase refactoring project?▼

Yes, you can use Codex and Gemini together for codebase refactoring. The orchestration seamlessly routes specific tasks to each model, allowing you to delegate authentication refactoring to one agent and UI improvements to another.

Does multi-model orchestration support both quick and thorough execution modes?▼

Multi-model orchestration supports both quick and thorough execution modes. The thorough mode runs a complete multi-phase task lifecycle including verification and fixing loops, while quick mode enables faster execution for immediate coding tasks.

How do I automate security reviews and UI improvements across different AI models?▼

Automate security reviews and UI improvements by delegating specific parts to specialized AI agents like Codex and Gemini. The orchestration pipeline manages task routing and ensures efficient execution with automated verification and fixing loops.

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