role-orchestrator

Coordinate primary agents and subagents across delegated multi-step AI workflows.

2|Updated Apr 10, 2024
One-click install
npx skills add https://github.com/gdurandvadas/dotfiles --skill role-orchestrator-gdurandvadas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: role-orchestrator
Source: https://github.com/gdurandvadas/dotfiles/tree/main/config/opencode/skills/role-orchestrator
Command: npx skills add https://github.com/gdurandvadas/dotfiles --skill role-orchestrator-gdurandvadas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates primary agents and their subagents to coordinate AI workflows, enforce delegation rules, and provide a consistent communication pattern across tasks.

Core Features & Use Cases

  • Subagent selection criteria (Explorer, Thinker, Fast, Balanced, Deep) for read, analysis, edits, and complex work
  • Delegation format with explicit skills, requirements, and success criteria
  • Quality gates to ensure output meets standards before proceeding
  • TODO-Store linking to maintain persistent context across multi-step tasks
  • Structured communication patterns for status, results, and next steps across agents
  • Integration with orchestration patterns for complex multi-agent coordination

Quick Start

Initialize role-orchestrator to coordinate subagents and enforce quality gates across a multi-step task.

Frequently Asked Questions about role-orchestrator

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

FAQPage Schema
How do I coordinate subagents for complex multi-step AI workflows?

Subagent selection uses specific criteria matching task types: Explorer for reads, Thinker for analysis, Fast for quick edits, and Balanced or Deep for complex work. This criteria-based delegation ensures the right agent handles the right task phase.

How do I enforce quality standards before an AI agent proceeds to the next task?

Quality standards are enforced through built-in quality gates that verify agent output meets explicit success criteria before proceeding. Delegation formats require defining skills, requirements, and success metrics upfront to validate every phase transition.

What is the best way to maintain persistent context across multi-agent tasks?

Persistent context across multi-agent tasks is maintained by linking a TODO-store throughout the orchestration process. This store preserves state and context, ensuring coordinated agents remain aligned across complex, multi-step task phases.

Can I use structured communication patterns to pass status and results between primary agents and subagents?

Structured communication patterns are explicitly supported to pass status, results, and next steps between primary agents and subagents. This standardized communication ensures consistent, auditable coordination across delegated work.

When do I need standardized delegation templates for AI orchestration?

Standardized delegation templates are needed when orchestrating complex, multi-step tasks requiring explicit subagent selection, quality gates, and safe auditable orchestration. They define exact skills, requirements, and success criteria for each delegated task.