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Readme Wizard

Community
debs-obrien
readme-wizard

Generate a polished, professional README.md for any project — from scratch or by improving an existing one. Use this skill whenever the user mentions README, wants to improve their repo's first impression, asks about shields.io badges, wants a star history chart, contributor avatars, documentation tables, project structure trees, or mermaid architecture diagrams in their README. Also use it when someone wants their GitHub repo to "look more professional", "look legit", or make a better first impression — even if they never say the word "README". Covers badge generation, README rewrites for new versions, fork customization, and adapting README structure to different project types (libraries, apps, docs repos, monorepos). Does NOT cover: CONTRIBUTING.md, CHANGELOG, API documentation, CI/CD setup, GitHub profile READMEs, or generating docs for individual components.

Overview

Publisherdebs-obrien
Repositorylearn-agent-skills
Skill namereadme-wizard
Stars
53
Forks
4
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by debs-obrien on GitHub. Read the source before you install it.

Installation

Install the Readme Wizard AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/debs-obrien/learn-agent-skills/tree/main/.agents/skills/readme-wizard
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/debs-obrien/learn-agent-skills.git /tmp/learn-agent-skills
mkdir -p .claude/skills
cp -r /tmp/learn-agent-skills/.agents/skills/readme-wizard .claude/skills/readme-wizard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Readme Wizard in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Readme Wizard on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Readme Wizard is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

README Wizard

Generate or improve a project's README by scanning the repo and producing a polished, professional result based on real project data.

Workflow

1. Scan the project

Run scripts/scan_project.sh <project-directory> to collect structured JSON metadata:

  • Project name and description
  • License type
  • Git remote (owner and repo name)
  • Package manager (npm, yarn, pnpm, pip, cargo, go, etc.)
  • CI setup (provider and workflow files)
  • Social links (YouTube, Discord, Twitter, LinkedIn, Bluesky, Twitch)
  • Directory structure (top 2 levels)

The reference script checks local files first, then uses the GitHub API to look up the homepage URL and crawls that homepage for additional social links. Your own first version can stay local-file only and add this enrichment later if you want it.

Handling missing data: The scan will return empty strings for anything it can't find. Never fabricate metadata — if a field is empty, skip the related section or badge entirely. For example: no CI workflows means no build badge; no social links means no social section.

2. Read the best practices guide

Read references/readme-best-practices.md before writing. It covers structure, tone, project-type adaptation, and common pitfalls. This context makes a real difference in output quality — the guide explains the reasoning behind each section so you produce READMEs that feel intentional rather than formulaic.

3. Build the README

Use assets/readme-template.md as the base structure. Replace {{PLACEHOLDER}} markers with actual project data from the scan.

When rendering the project tree, keep it close to how people browse repos: list directories before files, alphabetize within each group, and add trailing / markers for directories.

Adapt — don't copy blindly. The template is a starting point. Drop sections that don't apply (e.g., no Contributing section for a personal notes repo) and adjust the tone to match the project:

  • Libraries/frameworks: Focus on installation, API, and examples
  • Applications: Focus on setup, configuration, and screenshots
  • Docs/learning repos: Focus on structure and navigation
  • Small utilities/scripts: Keep it short — hero + what it does + usage is enough

4. Add badges

Read assets/badges.json for the full badge catalog organized by category (status, social, extras) with {{PLACEHOLDER}} markers for dynamic values. Use style=for-the-badge for all badges.

Golden rule: Only include badges for things that actually exist. A badge for a nonexistent CI workflow or a guessed npm package is worse than no badge at all.

5. Validate the output

Review the generated README against the assertions in evals/evals.json. Verify:

  • No placeholder text remains ({{PROJECT_NAME}}, TODO, etc.)
  • All badges point to real shields.io URLs for things that actually exist
  • Sections are proportional to the project — a simple script doesn't need a 200-line README
  • Social badges only appear if social links were found in the scan
  • The tone is concise and direct, not marketing fluff

6. Optionally add a diagram

Only read assets/diagrams.md if the project has multiple components or a clear data flow (APIs, monorepos, content pipelines). Skip entirely for simple projects. Generate the diagram from the project's actual structure — the templates in the file are starting points to adapt, not copy.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Readme Wizard AI skill do?

Generate a polished, professional README.md for any project — from scratch or by improving an existing one. Use this skill whenever the user mentions README, wants to improve their repo's first impression, asks about shields.io badges, wants a star history chart, contributor avatars, documentation tables, project structure trees, or mermaid architecture diagrams in their README. Also use it when someone wants their GitHub repo to "look more professional", "look legit", or make a better first impression — even if they never say the word "README". Covers badge generation, README rewrites for...

Why use Readme Wizard on TypingMind?

Because you install it once and use it with any model. Readme Wizard is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Readme Wizard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/debs-obrien/learn-agent-skills/tree/main/.agents/skills/readme-wizard. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Readme Wizard?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Readme Wizard?

As many as you like. As long as a model supports skills, you can use Readme Wizard with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Readme Wizard AI skill free?

Yes. It is published on GitHub by debs-obrien under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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