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oa-prompting-delegation

Evaluate task scope and plan agent delegation structures in Open-Agents.

4|Updated Feb 26, 2026

Search Tags:#workflow automation #prompt engineering #agent delegation #multi-agent systems #task orchestration #oa pipeline

Ready to run

npx skills add https://github.com/OpenAEC-Foundation/Open-Agents --skill oa-prompting-delegation

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: oa-prompting-delegation
Source: https://github.com/OpenAEC-Foundation/Open-Agents/tree/main/.claude/skills/oa-prompting-delegation
Command: npx skills add https://github.com/OpenAEC-Foundation/Open-Agents --skill oa-prompting-delegation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users decide the most effective way to delegate tasks to AI agents, optimizing for efficiency and avoiding common pitfalls like nested agent calls or attempting tasks agents cannot perform.

Core Features & Use Cases

Task Scope Evaluation: Determines if a task is suitable for inline execution or requires agent delegation.
Delegation Strategy: Provides guidance on choosing between parallel agents, research swarms, pipelines, or delegation plans.
Use Case: When faced with a complex coding task involving multiple files and external research, this Skill helps structure the delegation to a team of specialized agents, ensuring each agent has a clear scope and dependencies are managed.

Quick Start

Use the oa-prompting-delegation skill to determine the best way to spawn agents for a new feature development task.

Frequently Asked Questions about oa-prompting-delegation

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

FAQPage Schema

How do I delegate tasks to AI agents effectively?▼

Effective task delegation evaluates task scope to decide between inline execution or agent delegation, then selects an optimal structure like parallel, swarm, or pipeline. This optimizes efficiency and manages dependencies for complex multi-agent systems.

When should I use multi-agent orchestration instead of inline execution?▼

Multi-agent orchestration is needed for complex tasks involving multiple files and external research. Evaluating task scope helps determine when to spawn specialized agents to manage dependencies, rather than attempting simpler inline execution.

What is the best way to structure parallel agents and research swarms?▼

The best way to structure parallel agents and research swarms is to evaluate task scope and select an optimal delegation strategy. This ensures each specialized agent has a clear scope and dependencies are managed within the pipeline.

Can AI agents perform tasks requiring live MCP access?▼

No, AI agents cannot perform tasks requiring live MCP access. The delegation framework enforces critical rules against assigning tasks that need live MCP access or involve nested agent calls to avoid execution failures.

What are the limitations of nested agent calls in task orchestration?▼

Nested agent calls are prohibited in task orchestration. Attempting to nest agents creates execution pitfalls, so the delegation framework enforces rules against nesting to maintain workflow stability and prevent recursive delegation failures.