agents-orchestrator

Orchestrate multi-agent development pipelines across the Sloth Flow ecosystem with quality gates.

1|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/coreymaypray/sloth-skill-tree --skill agents-orchestrator-coreymaypray
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agents-orchestrator
Source: https://github.com/coreymaypray/sloth-skill-tree/tree/main/plugins/maycrest-automate/skills/agents-orchestrator
Command: npx skills add https://github.com/coreymaypray/sloth-skill-tree --skill agents-orchestrator-coreymaypray

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating multi-agent development pipelines across the Sloth Flow / Maycrest plugin ecosystem to ensure tasks progress with QA gates, context-rich handoffs, and reliable delivery.

Core Features & Use Cases

  • Orchestrates PM, ArchitectUX, development, QA loops, and integration phases across multiple agents.
  • Enforces continuous quality gates, automatic retries, and clear escalation paths.
  • Provides progress tracking, status updates, and cross-phase context preservation for complex workflows.

Quick Start

Spawn the agents-orchestrator to execute the complete Sloth Flow pipeline from specification to integration.

Frequently Asked Questions about agents-orchestrator

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

FAQPage Schema
How do I orchestrate multi-agent pipelines for end-to-end development workflows?

Multi-agent pipeline orchestration automates PM, architecture, development, QA loops, and integration phases across the Sloth Flow ecosystem. It enforces phase-based orchestration with continuous quality gates to deliver projects from specification to production.

What is the best way to preserve context between AI agents across different development phases?

Context preservation between agents relies on robust task-state tracking and context-rich handoffs. This ensures that progress, specifications, and status updates are maintained seamlessly as tasks move through PM, architecture, development, and QA loops.

Can I automate QA gates and retries in an AI agent workflow?

Automating QA gates and retries is supported through continuous quality gates with evidence-driven decisions. The orchestration pipeline enforces these gates, triggers automatic retries upon failure, and provides clear escalation paths to maintain workflow reliability.

Does the agents-orchestrator work with the Maycrest plugin suite for project delivery?

The orchestration pipeline works directly with the Maycrest plugin suite and the Sloth Flow ecosystem. It coordinates cross-phase development workflows, ensuring reliable project delivery from initial specification to final integration across these plugins.

Why does my multi-agent development pipeline fail during cross-phase integration?

Cross-phase integration failures often stem from missing continuous quality gates or broken context handoffs. Implementing phase-based orchestration with evidence-driven decisions and automatic retries ensures tasks progress reliably and preserves context between agents.

When do I need phase-based orchestration for AI agent pipelines?

Phase-based orchestration is needed when coordinating complex end-to-end development workflows involving multiple agents. It is essential for enforcing continuous quality gates, automatic retries, and clear escalation paths to ensure reliable delivery from specification to production.