claude-skill

Prompt_Engineering: Master LLM Prompts with 22 Notebook Guides

Founder? Accelerate your AI product with 22 practical prompt‑engineering techniques in ready‑to‑run Jupyter notebooks. Ideal for teams building with Claude, ChatGPT or any LLM. 7.9k+ GitHub stars.
intermediate⏱ 30 minutes💵 Free
7,889 stars1,034 forksJupyter NotebookGuide quality 8/10 · reviewed Oct 9Updated 10/7/2026100% free · open source
What it is

Learn 22 techniques for crafting effective instructions that supercharge AI tools.

Real use case example

"A founder building a new conversational product wants to get the most out of Claude. They start by reading through the 22 prompt engineering techniques, then test out ' chaining multiple requests' to get a summary of customer feedback. After implementing this, they notice a 20% reduction in support requests."

Best insideClaude DesktopClaude CodeClaude API
When to use it
  • •When you need to optimize prompts for better LLM responses
  • •When experimenting with different prompt engineering techniques to improve model performance
  • •When seeking hands-on tutorials and examples for advanced LLM strategies
Ready-to-paste prompt
Open `05_Primer_Prompt_Engineering.ipynb` and run the cell containing `prompt = 'Explain the concept of prompt engineering and its importance in LLMs.'` to see a primer on prompt engineering
Heads up: Ensure you have Jupyter Notebook installed and configured properly, as the tutorials are designed to be run in this environment, and some techniques may require specific LLM models or APIs to be effective
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/prompt-engineering && curl -fsSL https://workflowstacks.com/api/skills/prompt-engineering/claude-skill -o ~/.claude/skills/prompt-engineering/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Prompt_Engineering: Master LLM Prompts with 22 Notebook Guides works
Codeflow
Free to inspect

Prompt_Engineering: Master LLM Prompts with 22 Notebook Guides is a documents-only repository (3 doc files) — something you read, not something you run. There is nothing to install. Last commit this month, Other license.

Size
Documents only
3 documents · 8 min skim
Setup
No code to run
It's prompts / instructions. Copy them into your AI tool.
Runs on
Inside your AI tool
Helper scripts use Python
Jupyter Notebook 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
What's in each folder
images/Images & static assets11 files
.github/CI / automation (GitHub Actions)2 files
READMEOther licenseUpdated this month
Quick Actions
Details
Creator
NirDiamant
Language
Jupyter Notebook
Category
claude-skill
Published
10/10/2024

Are you the creator of this tool? and earn 85% of every sale.

Show it off in your README:

Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/prompt-engineering.svg)](https://workflowstacks.com/skills/prompt-engineering?utm_source=github&utm_medium=badge)
🔥 Hot this week, in your inbox
Skills like this, every Monday.

The five fastest-growing open-source AI skills, ranked by GitHub star growth. One email a week, unsubscribe anytime.

Do this with a working workflow

Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.