worker-review-orchestrator

Orchestrate multi-agent task dispatch, execution tracking, and review-based decisioning for ForgeFlow workers.

2|1|Updated Apr 3, 2026

Search Tags:#workflow #code review #task management #multi-agent #orchestration #forgeflow

Ready to run

npx skills add https://github.com/TingRuDeng/forgeflow-platform --skill worker-review-orchestrator

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Please help me install this Agent Skill.
Skill: worker-review-orchestrator
Source: https://github.com/TingRuDeng/forgeflow-platform/tree/main/skills/worker-review-orchestrator
Command: npx skills add https://github.com/TingRuDeng/forgeflow-platform --skill worker-review-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @tingrudeng/worker-review-orchestrator-cli, and includes references (resource) components.

What problem does it solve?

This skill solves the challenge of managing multi-agent workflows by providing a structured control-layer interface for dispatching tasks, monitoring worker execution, and enforcing a rigorous review-and-decision process.

Core Features & Use Cases

Task Orchestration: Create, track, and manage task lifecycles across different worker pools (Trae, Codex, Gemini).
Review & Decisioning: Enforce a strict review boundary where control-layer operators verify branch hygiene, test evidence, and scope compliance before merging.
Use Case: When a complex feature requires multiple independent code changes, use this skill to dispatch tasks to parallel workers, inspect their individual outputs, and safely integrate only the verified results.

Quick Start

Use the worker-review-orchestrator skill to dispatch a new task to the trae worker pool and monitor its progress until it is ready for review.

Frequently Asked Questions about worker-review-orchestrator

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

FAQPage Schema

How do I orchestrate multi-agent task dispatch for parallel code review?▼

Multi-agent task dispatch is orchestrated by creating, tracking, and managing task lifecycles across worker pools like Trae, Codex, and Gemini to execute parallel code changes. The orchestrator acts as a control-layer interface to monitor worker execution and enforce review-based decisioning.

How does review-based decisioning work for multi-agent software workflows?▼

Review-based decisioning enforces a strict boundary where operators verify branch hygiene, test evidence, and scope compliance before merging. It ensures only verified results from parallel worker execution are safely integrated into the codebase.

Can I dispatch isolated tasks to different worker pools like Trae and Codex?▼

Yes, you can dispatch isolated tasks to different worker pools including Trae, Codex, and Gemini. The orchestration lifecycle manages atomic task specification and tracks execution for each parallel worker independently.

What's the best way to manage state-machine integration for complex software development workflows?▼

Managing state-machine-compliant integration requires a control layer that enforces strict quality gates and evidence-based review. Use a task orchestrator to track worker execution and verify branch hygiene before integrating parallel code changes.

Do I need a CLI dependency to manage multi-agent task orchestration?▼

Yes, the worker-review-orchestrator-cli package is required as a dependency to manage the orchestration lifecycle. It provides the command-line interface needed to dispatch tasks and interact with the control layer.

When should I not use a multi-agent orchestration approach for code changes?▼

Multi-agent orchestration is not suitable for simple, single-threaded code modifications that do not require task isolation or parallel worker execution. It is designed specifically for complex software development workflows needing strict quality gate enforcement.

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