agent-build-patterns

Guide architecture pattern selection for scalable agent systems.

2|1|Updated May 1, 2026

Search Tags:#workflow #architecture #patterns #agent design #system reliability

Ready to run

npx skills add https://github.com/RelevanceAI/relevance-builder-kit --skill agent-build-patterns

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-build-patterns
Source: https://github.com/RelevanceAI/relevance-builder-kit/tree/main/.claude/skills/agent-build-patterns
Command: npx skills add https://github.com/RelevanceAI/relevance-builder-kit --skill agent-build-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive guidance on architecture and design patterns for building robust, production-grade agents and workflows.

Core Features & Use Cases

Pattern Selection: Helps users identify and apply appropriate system design patterns like Unit of Action, Code Over LLM, and Data Over Routing.
Design Discipline: Offers protocols and best practices to avoid force-fitting and ensure scalable, maintainable systems.
Use Case: When designing a multi-agent automation pipeline, leverage this Skill to choose suitable patterns, evaluate architecture, and prevent common pitfalls.

Quick Start

Ask the AI how to structure a multi-agent workflow to ensure reliability and maintainability.

Frequently Asked Questions about agent-build-patterns

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

FAQPage Schema

What are the best architecture patterns for designing reliable production agents?▼

Reliable production agents rely on architecture patterns like Unit of Action, Code Over LLM, and Data Over Routing to ensure system discipline. Selecting the correct pattern prevents force-fitting and maintains scalable, dependable automation workflows.

How do I structure a multi-agent workflow to ensure maintainability?▼

Structuring a multi-agent workflow requires applying design discipline protocols to evaluate architecture and choose suitable patterns. This approach prevents common pitfalls and ensures the automation pipeline remains maintainable and scalable as complexity grows.

What is the Unit of Action pattern in agent design?▼

The Unit of Action is a system design pattern used to build robust, production-grade agents. It enforces architectural discipline by isolating operations, ensuring dependable execution and preventing force-fitting within complex automation workflows.

How do I handle errors in complex automation workflows?▼

Handling errors in complex automation workflows involves applying specific architecture patterns and best practices for system reliability. Focusing on error handling and design discipline ensures production readiness and prevents common scaling pitfalls.

When should I use Code Over LLM instead of Data Over Routing for my system?▼

Use Code Over LLM or Data Over Routing based on pattern selection guidance to match your specific system design needs. Evaluating architecture ensures you apply the appropriate pattern, avoiding force-fitting and maintaining scalable system discipline.

Do I need specific frameworks to build dependable agent systems?▼

Building dependable agent systems does not require specific frameworks but relies on applying architecture patterns and best practices. Focusing on system discipline, error handling, and pattern selection ensures production readiness for complex automation workflows.