Claude’s prompt engineering documentation explains prompting techniques and interactive tutorials.
PromptEngineering
This repository teaches 22 prompt engineering techniques through Jupyter Notebook tutorials.
About PromptEngineering
PromptEngineering is a GitHub repository that collects 22 prompt engineering techniques as hands-on Jupyter Notebook tutorials. The material ranges from basic prompt templates to advanced strategies for large language models, including chain-of-thought, self-consistency, and tree-of-thought prompting, and is aimed at readers from beginners to experienced practitioners.
Because the tutorials are notebook-based, working through them means running a Python/Jupyter environment; the repository includes a requirements.txt for dependencies. The content is in English. A companion book, a paid course, and a newsletter are promoted alongside the repository and are separate from the tutorial notebooks themselves.
Key features
- 22 hands-on Jupyter Notebook tutorials on prompt engineering techniques
- Covers basic prompt templates through advanced strategies for large language models
- Includes chain-of-thought, self-consistency and tree-of-thought prompting examples
- Repository provides a requirements.txt for notebook dependencies
- Companion book explains all 22 techniques with step-by-step exercises
- Separate paid course on building software with AI
Best for: Learners and developers who want to study prompt engineering by running and adapting notebook examples, from first prompts to advanced techniques.
Good for
- Tutorials span foundational concepts through advanced prompting strategies
- Hands-on notebook format lets readers run and modify each technique
- Covers 22 named techniques with accompanying examples
Watch out for
- Tutorial content is available in English only
- Notebooks require a Python or Jupyter environment and the listed dependencies
- The companion course and book are separate paid offerings outside the repository
PromptEngineering at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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PromptEngineering FAQ
Which prompting techniques does the repository cover?
The 22 tutorials range from basic prompt templates to advanced techniques such as chain-of-thought, self-consistency, and tree-of-thought prompting.
What format are the tutorials in?
They are Jupyter Notebook tutorials, and the repository includes a requirements.txt listing the dependencies needed to run them.
Is there a book version of the material?
Yes. Prompt Engineering from Zero to Hero covers all 22 techniques with step-by-step breakdowns and hands-on exercises; the homepage lists the Amazon Kindle edition at $9.99.
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