Prompt Engineering Guide
An open learning resource covering prompting, context engineering, RAG, and AI agents.
Project overview
An open learning resource covering prompting, context engineering, RAG, and AI agents. Its core areas include Prompt fundamentals, Advanced strategies, RAG, Agents. Start with the repository documentation and the smallest practical scope before adopting it broadly.
Core capabilities
Prompt fundamentals
Provides prompt material for learning, comparing, or reusing Prompt fundamentals.
Advanced strategies
Provides prompt material for learning, comparing, or reusing Advanced strategies.
RAG
Provides prompt material for learning, comparing, or reusing RAG.
Agents
Provides prompt material for learning, comparing, or reusing Agents.
Access and usage
This usage path is based on the current public documentation for Prompt Engineering Guide. Complete the steps in order before using it from your agent.
Let an AI Agent install it
Send this prompt to Codex, Claude Code, or another AI agent that can work with your local environment.
Help me install this Prompt: Prompt Engineering Guide
Project URL: https://github.com/dair-ai/Prompt-Engineering-Guide
Read the README and installation files first, confirm the current environment and target directory, then follow the project's documented installation method. Run a minimal verification task afterward and report the install location, steps, and result. Ask before requesting credentials, additional permissions, overwriting files, or performing risky actions.- Prepare a compatible agent or runtime
- Confirm access to the local files or services required by the project
Project URL: https://github.com/dair-ai/Prompt-Engineering-Guide
Copy the URL and follow the steps below to complete setup.- 1Apply the configuration
Use the command or configuration above to add the resource to the current agent environment.
- 2Complete required setup
Complete path, permission, or connection settings for the current runtime.
- 3Run a minimal task
Run a minimal task in the agent. If the resource is recognized and returns the documented type of result, the setup is active.
Run a minimal task in the agent. If the resource is recognized and returns the documented type of result, the setup is active.
Use cases
You want to learn, compare, or reuse prompt and context-engineering material
Your current task needs Prompt fundamentals or Advanced strategies
Assessment
Why it may be useful
- You want to learn, compare, or reuse prompt and context-engineering material
- Your current task needs Prompt fundamentals or Advanced strategies
What to know first
- You expect a prompt to behave like a verified software component
- You want to use it in production without reading the repository documentation or reviewing permissions
README
Prompt Engineering Guide
Overview
An open learning resource covering prompting, context engineering, RAG, and AI agents. Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Getting started
- This usage path is based on the current public documentation for Prompt Engineering Guide. Complete the steps in order before using it from your agent.
- Project focus: An open learning resource covering prompting, context engineering, RAG, and AI agents.
- Published characteristics: Guide, 12 notebooks, Tutorial format.
- Run a minimal task in the agent. If the resource is recognized and returns the documented type of result, the setup is active.
Configuration
Project URL: https://github.com/dair-ai/Prompt-Engineering-Guide
Copy the URL and follow the steps below to complete setup.