Can I use this for parallel task execution in Claude Code?

Yes, the skill includes specific patterns for an Orchestrator agent to break down features and delegate independent components to multiple specialized agents simultaneously.

What is the primary benefit of the Claude Delegation Rules skill?

It provides a structured framework to ensure specialized AI agents communicate effectively, preventing context loss and redundant work during complex multi-step tasks.

What are delegation anti-patterns?

These are common mistakes such as circular delegation (infinite loops), over-delegation of tiny decisions, or providing insufficient context, all of which this skill helps you identify and avoid.

How does this skill handle context handoffs between agents?

It defines a specific protocol for what to include—such as purpose, state, constraints, and files—and what to exclude, ensuring the receiving agent has exactly what they need to succeed.

Claude Agent Delegation Rules

Name: Claude Agent Delegation Rules
Author: L-Sypniewski

byL-Sypniewski

Productivity & Workflow

Standardizes agent communication and handoff protocols to optimize multi-agent development workflows within Claude Code.

About

This skill provides a comprehensive framework for designing and managing multi-agent systems in Claude Code. It establishes clear protocols for single-responsibility agents, defining exactly when to delegate, how to package context for handoffs, and patterns for parallel or iterative execution. By implementing these rules, developers can eliminate common AI anti-patterns like circular delegation or context loss, ensuring that complex tasks are distributed effectively across specialized AI personas for more reliable and higher-quality results.

Key Features

Standardized context handoff protocols to prevent information loss
Detection and prevention of common delegation anti-patterns
Multi-agent coordination patterns including Consultation and Parallel Execution
0 GitHub stars
Clear decision trees for determining when to delegate versus self-perform
Ready-to-use configuration templates for Proactive and Reactive agents

Use Cases

Designing complex workflows where a Senior Engineer agent needs architectural guidance
Coordinating parallel development tasks between backend, frontend, and QA agents
Establishing a formal code review cycle between specialized AI personas

About

Key Features

Standardized context handoff protocols to prevent information loss
Detection and prevention of common delegation anti-patterns
Multi-agent coordination patterns including Consultation and Parallel Execution
0 GitHub stars
Clear decision trees for determining when to delegate versus self-perform
Ready-to-use configuration templates for Proactive and Reactive agents

Use Cases

Designing complex workflows where a Senior Engineer agent needs architectural guidance
Coordinating parallel development tasks between backend, frontend, and QA agents
Establishing a formal code review cycle between specialized AI personas