wf-orchestrator-engine

Orchestrate a 12-stage software development lifecycle with automated quality gates.

9|Updated Jul 3, 2026
One-click install
npx skills add https://github.com/TonyQ-AI/agents-workflow --skill wf-orchestrator-engine
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wf-orchestrator-engine
Source: https://github.com/TonyQ-AI/agents-workflow/tree/main/skills/wf-orchestrator-engine
Command: npx skills add https://github.com/TonyQ-AI/agents-workflow --skill wf-orchestrator-engine

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the lack of standardized development mechanisms in AI tools by providing a robust, 12-stage automated workflow that ensures consistency, progress tracking, and quality control across the entire software development lifecycle.

Core Features & Use Cases

  • Automated Lifecycle Management: Orchestrates 12 distinct stages from domain modeling and architecture design to deployment and version tracking.
  • Hard-Gate Quality Control: Implements mandatory architectural reviews and scans with automated feedback loops and retry logic to prevent technical debt.
  • Use Case: A developer can trigger a full-stack feature implementation where the engine automatically handles domain modeling, architecture design, coding, testing, and deployment, ensuring every step meets predefined quality standards.

Quick Start

Use the wf-orchestrator-engine skill to execute the full development workflow for the project named e-commerce-platform with the requirement to build a user authentication module.

Frequently Asked Questions about wf-orchestrator-engine

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

FAQPage Schema
How do I automate multi-agent workflows for end-to-end software development?

Automate multi-agent workflows by orchestrating a 12-stage software development lifecycle that manages sub-agent tasks and enforces quality gates. This engine handles domain modeling, architecture design, coding, testing, and deployment systematically.

What is automated lifecycle management for multi-agent coding projects?

Automated lifecycle management orchestrates 12 distinct development stages from domain modeling to deployment. It ensures consistency, progress tracking, and quality control across the entire software development lifecycle through deterministic task execution.

How do quality gates work in an automated software development workflow?

Quality gates enforce mandatory architectural reviews and scans with automated feedback loops and retry logic. This prevents technical debt by ensuring every stage of the multi-agent development workflow meets predefined standards before proceeding.

Can I use workflow orchestration for complex full-stack feature implementation?

Yes, workflow orchestration applies to complex coding projects requiring automated planning and systematic progress tracking. You can trigger a full-stack feature implementation where the engine automatically handles domain modeling, architecture, coding, and testing.

What is the best way to standardize development mechanisms for AI-driven coding?

Standardize AI-driven coding by applying a robust 12-stage automated workflow with hard-gate quality control. This enforces consistency, architectural validation, error recovery, and standardized documentation generation across the development lifecycle.

Does the multi-agent workflow engine support automated error recovery?

Yes, the multi-agent workflow engine satisfies requirements for deterministic task execution and automated error recovery. It uses feedback loops and retry logic within its quality gates to handle errors during the development lifecycle.