start

Initialize multi-agent workflows with mode detection and orchestrator spawning.

Updated Feb 19, 2026
One-click install
npx skills add https://github.com/Prekzursil/quality-zero-platform --skill start-prekzursil
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: start
Source: https://github.com/Prekzursil/quality-zero-platform/tree/main/.claude/plugins/metaswarm/skills/start
Command: npx skills add https://github.com/Prekzursil/quality-zero-platform --skill start-prekzursil

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill centralizes the kickoff and coordination of metaswarm workflows, enabling a seamless start for complex multi-agent tasks.

Core Features & Use Cases

  • Mode detection between Team Mode and Task Mode based on available tools.
  • Automatic spawns of specialized agents for research, planning, implementation, and review.
  • Adversarial review isolation to ensure unbiased quality gates and robust DoD verification.

Quick Start

Spawn the Issue Orchestrator for an issue by marking it agent-ready or by issuing the start command to begin the workflow.

Frequently Asked Questions about start

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

FAQPage Schema
How do I automatically initialize and coordinate multi-agent workflows for a new issue?

You can automatically initialize and coordinate multi-agent workflows by marking an issue as agent-ready or issuing the start command, which triggers the Issue Orchestrator to spawn specialized agents for research, planning, implementation, and review.

What is the difference between Task Mode and Team Mode for multi-agent orchestration?

Task Mode and Team Mode differ based on the tools available in your environment; the start command automatically detects the available tools and enforces the correct mode to initialize and orchestrate multi-agent work accordingly.

How do I ensure unbiased quality gates and robust Definition of Done verification during design reviews?

You can ensure unbiased quality gates by using adversarial review isolation, which blocks workflows from proceeding until specialized review agents independently verify that the Definition of Done criteria are robustly met.

Can I spawn specialized agents for research, planning, implementation, and review automatically?

Yes, the start command automatically spawns specialized agents for research, planning, implementation, and review when initializing multi-agent workflows, applying mode detection and file-scope discipline across the task.

What is the best way to enforce file-scope discipline when starting a multi-agent task?

The best way to enforce file-scope discipline is by using the start command to initialize the workflow, which automatically applies file-scope boundaries and orchestrator spawning rules across Team Mode or Task Mode environments.

Do I need specific dependencies to use the start command for workflow orchestration?

No specific dependencies are required to use the start command for workflow orchestration, as it automatically detects available tools to enforce mode detection and coordinate multi-agent work hassle-free.