agent-patterns

Generate Python or TypeScript code templates for agent architecture patterns.

Updated May 8, 2026
One-click install
npx skills add https://github.com/AringaRosa9/agent-blueprint --skill agent-patterns-aringarosa9
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-patterns
Source: https://github.com/AringaRosa9/agent-blueprint/tree/main/skills/agent-patterns
Command: npx skills add https://github.com/AringaRosa9/agent-blueprint --skill agent-patterns-aringarosa9

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables developers to rapidly access code templates and detailed explanations for different agent architecture patterns, streamlining the development of complex AI agents.

Core Features & Use Cases

  • Pattern Selection & Code Generation: Input a specific agent pattern name to retrieve ready-to-use code skeletons in Python or TypeScript.
  • Implementation Details & Customization: Understand the core design of patterns like prompt chaining, orchestration, and autonomous agents, facilitating tailored modifications.
  • Use Case: A developer needs a code base for a parallelized evaluation agent; this Skill provides the exact template with annotated instructions for setup and adaptation.

Quick Start

Ask it to provide a code template for a specified agent pattern such as "orchestrator" or "evaluation optimizer" using natural language command.

Frequently Asked Questions about agent-patterns

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

FAQPage Schema
How do I generate code templates for AI agent architecture patterns?

To generate agent architecture code templates, input a specific pattern name like "orchestrator" using natural language. The system provides ready-to-use Python or TypeScript code skeletons with annotated instructions for rapid prototyping and setup.

What agent architecture patterns are available for code generation?

Available agent architecture patterns include prompt chaining, orchestration, autonomous agents, and parallelized evaluation agents. Each pattern provides comprehensive code templates and detailed explanations of its core design to support complex AI workflows.

Can I use these agent code templates with Python and TypeScript?

Yes, the agent code templates support both Python and TypeScript implementations. This allows developers to integrate the architecture patterns into their existing AI agent development environments and debugging processes seamlessly.

What is the best way to customize an orchestrator agent pattern?

The best way to customize an orchestrator agent pattern is to retrieve the base code skeleton, review the provided implementation details explaining the core design, and apply the annotated instructions to facilitate tailored modifications for your specific AI workflow.

When do I need a parallelized evaluation agent template?

You need a parallelized evaluation agent template when developing a code base that requires concurrent processing and assessment of AI outputs. It provides the exact structural foundation with annotated instructions for setup and adaptation.