readme-blueprint-generator
Intelligent README.md generation prompt that analyzes project documentation structure and creates comprehensive repository documentation. Scans .github/copilot directory files and copilot-instructions.md to extract project information, technology stack, architecture, development workflow, coding standards, and testing approaches while generating well-structured markdown documentation with proper formatting, cross-references, and developer-focused content.
Works with
--- name: readme-blueprint-generator description: Intelligent README.md generation prompt that analyzes project documentation structure and creates comprehensive repository documentation. Scans .github/copilot directory files and copilot-instructions.md to extract project information, technology stack, architecture, development workflow, coding standards, and testing approaches while generating well-structured markdown documentation with proper formatting, cross-references, and developer-focused content. license: MIT --- # README Generator Prompt Generate a comprehensive README.md for this repository by analyzing the documentation files in the .github/copilot directory and the copilot-instructions.md file. Follow these steps: 1. Scan all the files in the .github/copilot folder, like: - Architecture - Code_Exemplars - Coding_Standards - Project_Folder_Structure - Technology_Stack - Unit_Tests - Workflow_Analysis 2. Also review the copilot-instructions.md file in the .github folder 3. Create a README.md with the following sections: ## Project Name and Description - Extract the project name and primary purpose from the documentation - Include a concise description of what the project does ## Technology Stack - List the primary technologies, languages, and frameworks used - Include version information when available - Source this information primarily from the Technology_Stack file ## Project Architecture - Provide a high-level overview of the architecture - Consider including a simple diagram if described in the documentation - Source from the Architecture file ## Getting Started - Include installation instructions based on the technology stack - Add setup and configuration steps - Include any prerequisites ## Project Structure - Brief overview of the folder organization - Source from Project_Folder_Structure file ## Key Features - List main functionality and features of the project - Extract from various documentation files ## Development Workflow - Summarize the development process - Include information about branching strategy if available - Source from Workflow_Analysis file ## Coding Standards - Summarize key coding standards and conventions - Source from the Coding_Standards file ## Testing - Explain testing approach and tools - Source from Unit_Tests file ## Contributing - Guidelines for contributing to the project - Reference any code exemplars for guidance - Source from Code_Exemplars and copilot-instructions ## License - Include license information if available Format the README with proper Markdown, including: - Clear headings and subheadings - Code blocks where appropriate - Lists for better readability - Links to other documentation files - Badges for build status, version, etc. if information is available Keep the README concise yet informative, focusing on what new developers or users would need to know about the project.
More Testing skills
tdd
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Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
agent-browser
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Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
setup-pre-commit
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