hive-workflow

Orchestrate multi-agent AI workflows for software development tasks with quality gates.

Updated Mar 4, 2026
One-click install
npx skills add https://github.com/inhyoe/hive-plugin --skill hive-workflow-inhyoe
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hive-workflow
Source: https://github.com/inhyoe/hive-plugin/tree/main/skills/hive-workflow
Command: npx skills add https://github.com/inhyoe/hive-plugin --skill hive-workflow-inhyoe

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the complex process of breaking down large tasks, assigning them to specialized AI agents, and managing their execution through a structured workflow, ensuring efficient and high-quality results.

Core Features & Use Cases

  • Task Decomposition: Breaks down user requests into manageable sub-tasks.
  • AI Team Orchestration: Assigns tasks to specialized AI agents (Claude, Codex, Gemini) based on their strengths.
  • Quality Gates: Enforces a multi-stage quality pipeline (Clarify, Spec, Plan Review, TDD, Implementation, Cross-Verify, E2E Validate) to ensure robust outcomes.
  • Use Case: You need to build a new feature for your Flutter app. This Skill will analyze your request, define the requirements, decompose the work into modules, assign coding tasks to AI agents, and manage the entire development and verification process.

Quick Start

Use the hive-workflow skill to build a new user authentication module for a web application.

Frequently Asked Questions about hive-workflow

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

FAQPage Schema
How does multi-agent AI orchestration work for software development?

Multi-agent AI orchestration works by breaking down complex software tasks into sub-tasks and assigning them to specialized AI agents like Claude, Codex, or Gemini based on their strengths. The workflow manages agent interactions and task dependencies to deliver robust software components.

How do I automate team decomposition for a complex coding project?

Automate team decomposition by defining a phased execution workflow that analyzes your codebase and requirements, then distributes modular coding tasks across specialized AI agents. This structured approach assigns work based on agent capabilities to ensure efficient development.

Can I use workflow automation to build features for a Flutter app?

Yes, you can use workflow automation to build features for a Flutter app. The process analyzes your request, clarifies requirements, decomposes the work into modules, assigns coding tasks to AI agents, and manages the entire development and verification pipeline.

What are quality gates in AI-driven code generation?

Quality gates in AI-driven code generation are enforced checkpoints in a multi-stage pipeline, including Clarify, Spec, Plan Review, TDD, Implementation, Cross-Verify, and E2E Validate. They ensure robust outcomes by validating software components at each execution phase.

What is the best way to manage prompt engineering for multiple AI agents?

The best way to manage prompt engineering for multiple AI agents is using an orchestration workflow that handles requirement clarification and task dependencies. This ensures each specialized agent receives precise instructions within a structured quality pipeline.