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ai prompts

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Basic Information

Instructa AI Prompts is an open-source repository that collects and shares reusable AI prompts, project rules, and contribution templates for configuring AI-assisted coding tools. It gathers curated prompt files, an example prompt metadata file and a prompt template to help developers include project-specific instructions into tools like Cursor, GitHub Copilot, Zed, Windsurf and Cline. The README explains where to place rules and how to format them so AI assistants adhere to coding standards, scaffolding conventions and automation workflows. The project is aimed at developers and teams who want a centralized, shareable set of prompts and best practices to standardize AI assistant behavior across repositories and to accept improvements via pull requests.

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672
App URL
https://github.com/instructa/ai-prompts
Github Repository
https://github.com/instructa/ai-prompts/blob/main/README.md

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App Details

Features
A curated library of AI prompts and rule files with a clear contribution workflow. Tool-specific inclusion guidance and examples for Cursor (.cursor/rules/), GitHub Copilot (.github/copilot-instructions.md), Zed (.zed/ and settings.json), Windsurf (.windsurfrules) and Cline (custom instructions). A prompt-template directory with an example aiprompt.json metadata file and .mdc files that use YAML front matter. A usage table explaining how to deploy prompts into different developer tools. Contribution guidelines and quick-start steps showing the prompts/<your-prompt-name> convention. Community channels for discussion and issues and an MIT license for reuse.
Use Cases
This repository helps teams and individual developers enforce project-specific coding standards and consistent AI assistant behavior by providing ready-to-use prompts and clear placement rules for multiple editor integrations. It reduces setup time for AI coding assistants by offering templates and examples that can be dropped into project directories, speeds onboarding by documenting conventions, and encourages community-driven improvement through pull requests. The metadata format and contribution process make prompts discoverable and reusable across projects. Practical guidance in the README ensures prompts integrate with common tools so generated code follows agreed practices and automation workflows.

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