Agent Best Practices

Guide AI coding agent collaboration with planning, context, and prompt practices.

Updated Jan 15, 2026
One-click install
npx skills add https://github.com/amo-tech-ai/rocket-path-ai --skill agent-best-practices
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Agent Best Practices
Source: https://github.com/amo-tech-ai/rocket-path-ai/tree/main/.cursor/skills/agent-best-practices
Command: npx skills add https://github.com/amo-tech-ai/rocket-path-ai --skill agent-best-practices

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides essential guidance and best practices for effectively collaborating with AI coding agents, ensuring efficient development and high-quality code.

Core Features & Use Cases

  • Plan Mode: Learn to use agent planning for complex tasks.
  • Context Management: Discover how to provide relevant context to agents.
  • Prompt Engineering: Write clear, actionable prompts for better results.
  • Workflows: Understand TDD, code review, and PR automation with agents.
  • Use Case: When starting a new, complex feature, use this Skill to learn how to prompt the agent to create a detailed plan before writing any code, ensuring all requirements are met and potential issues are addressed upfront.

Quick Start

Enable Plan Mode by pressing Shift+Tab in the agent input to have the agent research the codebase and create a detailed plan before implementation.

Frequently Asked Questions about Agent Best Practices

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

FAQPage Schema
How do I use an AI coding agent for complex feature development?

AI coding agents handle complex features best when you enable Plan Mode to research the codebase and create a detailed plan before implementation, ensuring requirements are met and issues are addressed upfront.

What's the best way to write prompts for AI coding agents?

Writing prompts for AI coding agents requires clear, actionable instructions and specific context management to guide the agent effectively, ensuring high-quality code generation and accurate task execution.

Can I automate code review and pull requests using AI agents?

AI coding agents can automate code review and pull request workflows by applying prompt engineering principles to analyze changes, provide feedback, and manage PR tasks directly within your development environment.

Why does my AI agent produce irrelevant code for my codebase?

AI agents produce irrelevant code when context discovery is insufficient; you must provide relevant context and manage the conversation actively to ensure the agent understands your specific codebase structure and requirements.

When should I use Plan Mode instead of direct coding with an AI agent?

Plan Mode should be used for complex tasks requiring upfront research and detailed planning, allowing the agent to discover context and formulate a strategy before writing any code, preventing costly rework.