How does severity batching reduce costs?

By routing tasks based on priority, the system can bypass expensive validation steps for low-risk items, potentially reducing total operations by over 60%.

What are Orchestration Patterns?

Orchestration patterns are specialized strategies for managing how multiple AI agents interact, share information, and execute tasks to ensure reliability and scalability.

When should I use a phase-based workflow?

Use phase-based workflows when your task has 3+ distinct stages with clear sequential dependencies and different context needs for each stage.

What is Firewall Architecture in AI agents?

It is a pattern that isolates sub-agents behind a 'thin router' entry agent, ensuring only sanitized data reaches the main session and preventing context pollution.

Orchestration Patterns

Name: Orchestration Patterns
Author: abossenbroek

byabossenbroek

Data Science & ML

Designs and implements sophisticated multi-agent orchestration architectures for scalable, isolated, and efficient AI workflows.

About

This skill provides production-ready patterns for designing complex multi-agent systems within Claude. It offers a structured selection framework for orchestration styles—including firewall architecture, phase-based workflows, and severity-based batching—to ensure clear context boundaries, reduced token overhead, and robust error handling. It is essential for developers building autonomous or semi-autonomous agent hierarchies that require high reliability, debuggable execution, and state-of-the-art coordination patterns.

Key Features

Standardized agent naming and hierarchical file structures
0 GitHub stars
Firewall Architecture for strict context isolation
Severity-Based batching to optimize operational costs
Post-tool validation hooks for output verification
Phase-Based execution stages with clear input/output tiers

Use Cases

Optimizing high-volume AI tasks through priority-based routing and batching
Designing a complex code review system with multiple specialized sub-agents
Implementing a security audit pipeline that isolates sensitive data via firewalls

About

Key Features

Standardized agent naming and hierarchical file structures
0 GitHub stars
Firewall Architecture for strict context isolation
Severity-Based batching to optimize operational costs
Post-tool validation hooks for output verification
Phase-Based execution stages with clear input/output tiers

Use Cases

Optimizing high-volume AI tasks through priority-based routing and batching
Designing a complex code review system with multiple specialized sub-agents
Implementing a security audit pipeline that isolates sensitive data via firewalls