Maxim Osovsky

Posted on Feb 24

Your README Is Your Book Cover. Here's the Checklist I Use for 50+ Projects

#github #opensource #documentation #productivity

Open any random GitHub repo. Chances are, the README is either a wall of text, a default create-react-app placeholder, or just empty.

Now imagine you manage 50+ repositories. Every single one needs a README that looks professional, explains what the project does, and helps new contributors (or your AI assistant) get up to speed in seconds.

I got tired of reinventing this every time. So I turned my README rules into a standalone project.

The Problem Nobody Talks About

Most developers treat READMEs as an afterthought. "I'll write it later." Later never comes.

But here's the thing: a README is a book cover. If it's boring, nobody opens the project. No stars, no contributors, no adoption. Even if the code inside is brilliant.

And there's a second audience that nobody thinks about: AI. When you ask an LLM to help with your project, the first thing it reads is the README. A bad README means bad AI suggestions. A structured README means the AI understands your project instantly.

What I Systematized

After writing and rewriting READMEs for 50+ projects, I noticed that the same patterns kept working. The surprise? README quality can be systematized. It's not art — it's a checklist.

Here's the 14-point structure I settled on:

1.  Centered header + logo
2.  Badges (status, license, stack)
3.  Tagline (1 line)
4.  Inline navigation (Quick Start · Features · Docs)
5.  Preview screenshot / GIF
    ---
6.  💡 Concept (blockquote + explanation)
    ---
7.  ✨ Features (table, not bullet list)
    ---
8.  🚀 Quick Start (3 lines of code)
    <details> Advanced setup </details>
    ---
9.  🏗️ Tech Stack (table + file tree)
    ---
10. 🗺️ Roadmap (task checklist)
    ---
11. 🤝 Contributing (fork → branch → PR)
    ---
12. 📄 License + author
13. llms.txt + llms-full.txt (LLM-readable docs)
14. GitHub About: Description, Website, Topics

Not every project needs all 14 points. But having a checklist means you never forget the important ones.

What to Use (and What to Avoid)

✅ Use

Technique	Why
`<div align="center">`	Centered headers look professional
`style=for-the-badge` badges	Consistent, eye-catching
`<img width="600">` preview	Shows what the project looks like
`<details>` collapsibles	Hides secondary info, keeps README scannable
Feature tables	Easier to scan than bullet lists
`---` dividers	Visual separation between sections
`[!NOTE]` / `[!WARNING]` alerts	GitHub renders them beautifully
`llms.txt` at root	AI can discover and understand your project

❌ Avoid

Wall of text — nobody reads unformatted prose
No preview image — unclear what the project looks like
No badges — looks like an unfinished project
No Quick Start — people leave if they can't run it in 30 seconds
Hardcoded secrets — even sk_test_... alarms reviewers
No license — legally unclear whether the code can be used
Dead links — broken URLs kill trust
© symbol — just use Author Name. Licensed under MIT.
Empty About section — repo won't appear in GitHub search

The LLM Angle: llms.txt

The llms.txt standard is simple: put a plain-text file at your repo root that explains the project in a format optimized for AI.

I add two files to every project:

llms.txt — short summary (name, purpose, stack, status)
llms-full.txt — extended context (architecture, API, deployment)

Does it make a difference? When I give my AI assistant a project with llms.txt, it understands the codebase faster and gives better suggestions. Without it, the AI guesses — and often guesses wrong.

CI: Auto-Check Your README

One file, zero cost, and GitHub checks every push:

# .github/workflows/readme-lint.yml
name: README Lint
on: [push, pull_request]
jobs:
  links:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: lycheeverse/lychee-action@v1
        with:
          args: --verbose *.md
  markdown:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: DavidAnson/markdownlint-cli2-action@v16
        with:
          globs: "*.md"

What it catches:

🔗 Dead links (404s)
🏷️ Broken badge images
📝 Markdown syntax errors

Free for public repos. 2,000 minutes/month for private.

Templates

The repo includes two ready-to-use templates:

TEMPLATE.md — full 14-point structure with {PLACEHOLDERS}. Copy, rename to README.md, fill in the blanks.

TEMPLATE-minimal.md — 5 essential sections for quick projects.

Both follow the same principles. Both work as instructions for AI — paste the template into your prompt and the LLM generates a structured README.

How I Actually Use It

My workflow:

Start a new project
Copy TEMPLATE.md → README.md
Tell the AI: "Fill this README using the project's source code and README_GUIDELINES.md"
Review, tweak, push

The AI reads the guidelines, follows the structure, and produces a README that looks like I spent an hour on it. In reality, it takes 2 minutes.

For 50+ projects, that's not a productivity hack — it's a survival strategy.

Real-World Examples

Projects built with these guidelines:

Project	What It Is
WallPlan	Calendar wall planner generator
Lifeline	Interactive timeline builder
TeleInviter	Telegram meeting bot with timezones
DelayedPopup	Smart popup timing library

Every one follows the same structure. Every one looks professional at first glance.

Try It

Repository: github.com/maximosovsky/readme-guidelines

Grab a template, point your AI at the guidelines, and stop writing READMEs from scratch.

While writing this article, my Water Reminder popped up and I took a water break. If you're deep in code right now — go drink a glass of water. You'll thank me later.

Building in public, one repo at a time. Follow the journey: LinkedIn · GitHub

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