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Claude/ChatGPT Prompt to Generate a Professional README from a Repo

Generate a polished README with badges, quick start, a Mermaid architecture sketch, and a contribution guide from any repo.

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What this prompt does

This prompt generates a real, commit-ready README from a repo's details rather than a template skeleton. It casts the assistant as a senior developer-experience engineer and takes four context variables: [repo_name] and [description], [stack], and [reader] (the primary audience). The deliverables are a title with a one-line tagline and badges (build, license, version), a two-sentence "Why it exists" section, a Quick Start with exact install, run, and test commands, an architecture overview with a Mermaid diagram of the main components, a configuration table (key, type, default, description) and a Common Tasks list, and Contributing and License sections.

The structure works because the README is the first thing a new engineer opens, and a vague one generates endless onboarding questions. Setting [reader] ("a backend engineer joining the team") calibrates the tone and assumed knowledge. The Mermaid architecture diagram and a working Quick Start are the two highest-leverage sections — they cut onboarding questions sharply. Feeding an accurate [stack] is what lets the model produce install and test commands that match what actually runs.

When to use it

  • Handing off a service to a client team or new hires who need to get productive fast
  • When a repo has no README or only a stub
  • When onboarding questions keep landing on you because the docs are thin
  • When you want a consistent README structure across many repos
  • When a project needs an architecture diagram readers can actually follow
  • When the existing README's install or test commands have drifted from reality

Example output

You get ready-to-commit Markdown: a title, tagline, and badges; a short "Why it exists" section; a Quick Start with concrete install, run, and test commands; an architecture overview containing a Mermaid component diagram; a configuration table and a Common Tasks list; and Contributing and License sections. It's scannable and uses real example commands, with badge URLs derived where possible. The aim is a file you can commit after a quick accuracy pass, not a placeholder. The Quick Start and the Mermaid diagram are the two sections a new engineer hits first, so they carry the most weight — a working Quick Start gets someone running in minutes, and a faithful diagram answers the structural questions before they're asked.

Pro tips

  • Feed your real composer.json or package.json so the install and test commands match what actually runs, not guesses
  • Set [reader] accurately; a README for a joining engineer differs from one aimed at external integrators
  • Verify the Mermaid diagram reflects your true component boundaries before committing it
  • Check the badge URLs resolve, since the model derives them and may guess at paths
  • Keep [description] tight and accurate, as it seeds the tagline and the "Why it exists" section
  • Run the Quick Start commands yourself once; a README that fails at step one erodes trust immediately

Frequently Asked Questions

Will the install and test commands be correct?
They're only as accurate as the stack details you provide. Feed your real composer.json or package.json so the commands match what actually runs. Always execute the Quick Start yourself once before committing, since a broken first step undermines the whole README.
Does it generate an architecture diagram?
Yes, it includes a Mermaid diagram of the main components in the architecture overview. Verify it reflects your true component boundaries before committing, because the model infers structure from your description and can simplify or misgroup parts.
Are the badge URLs real?
It derives badge URLs where it can from the repo details you give, but it may guess at paths it can't know. Check that each build, license, and version badge actually resolves before relying on it in the committed README.
Who should I set as the primary reader?
Set it to whoever opens the README first, such as a backend engineer joining the team or an external integrator. That choice calibrates the tone and assumed knowledge, so a precise reader produces a README pitched at the right depth.
Engr Mejba Ahmed

Need this built for real?

Engr Mejba Ahmed

AI Developer · Software Engineer

I'm Mejba — I design and ship production AI systems, automations, and full-stack apps. If you want this turned into a working solution for your team, let's talk.

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