Best GitHub README Examples (And What Makes Them Work)

Most GitHub READMEs fall into one of two failure modes: the wall of text that explains everything except how to get started, or the three-line stub that was meant to be filled in later. Neither works.

Here's what actually makes a README good — with specific patterns you can steal.

What every good README has in common

The best READMEs answer three questions in the first screen of content:

What does this do? — one specific sentence, not "a powerful tool"
Who is it for? — developers? data scientists? anyone?
How do I start in 60 seconds? — a real working command or snippet

Pattern 1: The one-liner + instant demo

The best CLI and library READMEs lead with a single sentence and then immediately show the tool working. No preamble.

✅ What works:

# csvkit — tools for working with CSV files in the terminal
$ csvstat data.csv

Then immediately: a screenshot of the output.

Why it works: you know what it does and what it feels like to use it before you've read a second sentence.

Pattern 2: The problem-first opener

For tools solving a specific pain point, leading with the problem — not the solution — is more compelling.

✅ What works: "Tired of writing the same boilerplate for every new Express project? [Tool name] scaffolds a production-ready setup in one command."

Why it works: it speaks to the reader's existing frustration before asking them to learn anything new.

Pattern 3: The visual-first approach

For UI tools, dashboards, or anything with a visual output — a GIF or screenshot in the first 100px beats any amount of text description.

Tip: Use terminalizer or asciinema to record terminal sessions as GIFs. Keep GIFs under 5MB.

Pattern 4: The structured reference README

For larger libraries, a clean table of contents with anchor links is essential:

## Contents
- [Installation](#installation)
- [Quick Start](#quick-start)
- [Configuration](#configuration)
- [API Reference](#api-reference)
- [Examples](#examples)
- [Contributing](#contributing)