772 boosters for "code" — AI-graded, open source, ready to install
Mazeway provides Cursor-native rules for implementing authentication and authorization in Next.js projects using Supabase, enabling developers to own their auth logic rather than relying on external packages. Ideal for developers building secure, self-contained authentication systems.
Widget MCP is an MCP server that enables LLMs to render interactive UI widgets within Claude Desktop and Claude Code environments. It's useful for developers building enhanced AI experiences with custom interfaces.
An MCP server that integrates Crawlbase API for web scraping capabilities into AI agents and code editors like Claude, Cursor, and Windsurf. Developers building AI applications needing reliable web data extraction benefit from this seamless integration.
A creative prompt booster that encourages Claude to identify interconnected patterns in code and systems with three intensity levels (hit/party/trip). Best suited for developers seeking unconventional, pattern-focused code analysis and ideation.
Ozma is cursor-optimized rules for rapidly building customizable CRM/ERP systems with low-code development and full PostgreSQL integration. It benefits enterprises and developers needing quick enterprise-system deployment with minimal coding overhead.
A .windsurfrules collection that guides AI coding assistants in implementing rigorous backtesting techniques for trading strategies, helping developers avoid common pitfalls like lookahead bias and overfitting. Useful for quants and trading engineers building reliable strategy validation systems.
A curated collection of Windsurf rules files that guide AI coding assistants in generating Helm charts following industry best practices, architecture patterns, and Kubernetes conventions. Developers using Codeium's Cascade or similar AI tools benefit by getting standardized, production-ready Helm chart scaffolding and configurations.
A Windsurf rules collection that guides AI coding assistants in implementing data-driven UI testing patterns, helping developers separate test logic from test data for improved maintainability and scalability.
A Windsurf rules collection that guides AI coding assistants to implement Gitflow branching workflows and best practices. Useful for teams adopting structured version control and release management processes.
A curated collection of .windsurfrules files that guide AI coding assistants in generating performant, well-architected code by establishing best practices for optimization, database tuning, caching, and concurrency. Developers using Windsurf/Cascade benefit from standardized coding patterns that reduce manual code review overhead.
StarkBot is a system prompt that enables an AI agent to respond via structured JSON and call tools across multiple IDE platforms (Claude, Cursor, Windsurf, ChatGPT). It's useful for developers building tool-integrated AI workflows in code editors.
OPSX: Verify ensures implementation code matches specification artifacts before archiving, helping teams maintain consistency between design and code. Developers working with the OpenSpec framework will benefit from automated verification workflows.
A GitHub Copilot prompt that enables developers to rapidly generate production-ready React components and Storybook stories from wireframes, mimicking v0.dev's design-to-code workflow directly within the Copilot IDE.
This Cursor Rules booster enables Claude to use structured thinking processes with step-by-step reasoning displayed in code blocks, helping developers get more thoughtful and transparent problem-solving from their AI assistant.
This MCP server enables AI coding agents to analyze test coverage from LCOV files, making them coverage-aware while optimizing token usage. It's valuable for developers using Claude Desktop or Code who want to improve code quality by integrating coverage insights into their AI-assisted workflows.
A layered backend architecture ruleset for Go/TypeScript projects that enforces clean dependency patterns (core → infra → database/permission → server) to maintain code organization and testability in internal tools. Ideal for teams building admin dashboards and CRUD applications who need consistent architectural guidance.
A Gmail API skill that enables AI assistants to read, send, and manage emails through Google's REST API. Developers and automation builders benefit from streamlined email integration in Claude Code projects.
This MCP server automatically generates MCP tool code from OpenAPI specifications, enabling developers to quickly expose any REST API as Claude-compatible tools without manual coding.
Skill Forge automates the creation and packaging of AI skills from external sources like GitHub repos and documentation, enabling developers to quickly convert existing resources into reusable Claude Code skills. It's ideal for developers who want to streamline skill development and integrate external knowledge bases into their AI workflows.
A skill that guides AI assistants through a structured wrap-up workflow for code changes, ensuring linting, tests, docs, and skill updates are completed before context runs out. Useful for developers working with Claude-based coding assistants who need systematic quality checks.
Copilot instructions for managing DocumentDB clusters on Kubernetes, providing developers with guidelines for code reviews, development standards, and operator patterns specific to this Go-based project.
This MCP server enables developers to manage Home Assistant directly from Cursor, VS Code, or Claude Code using natural language—creating automations, dashboards, and configurations without leaving their IDE. It's essential for smart home enthusiasts and developers who want AI-assisted Home Assistant development.
A PRD specialist agent that generates comprehensive product requirements documents by analyzing project patterns, assessing feature complexity, and researching best practices across your codebase. Ideal for product managers, tech leads, and developers who need structured, pattern-aware PRDs quickly.
A code review agent that delivers direct, pragmatic feedback using Linus Torvalds' philosophy and a structured 5-layer analysis framework, helping developers improve code quality through data structures, logic flow, performance, and maintainability.
