The problem

Writing a comprehensive README often feels like a chore, leading to sparse documentation that confuses users and slows down contributor onboarding. Manually building tech stack tables, ASCII directory trees, and badge rows is repetitive and prone to formatting errors.

What it does

• Scans your repository to auto-infer languages, frameworks, and tools from configuration files.
• Generates a realistic ASCII directory tree visualizing your project structure up to four levels deep.
• Constructs a detailed tech stack table including versions, purposes, and relevant links.
• Drafts platform-specific installation guides and usage examples tailored to your identified stack.
• Adjusts tone and technical depth based on whether your audience is developers, enterprises, or end-users.

Why this beats prompting it yourself

General prompts often produce generic descriptions that lack specific project context. This skill enforces a strict structural standard, ensuring your README includes essential professional elements like SPDX license identifiers, proper badge syntax, and accurate directory mapping that a standard LLM prompt might overlook.

Use cases

• Generating a professional landing page for a new open-source repository.
• Standardizing documentation across multiple microservices in a monorepo.
• Creating enterprise-ready documentation with security and compliance focus.
• Quickly scaffolding a README for a hackathon project or MVP.