275 boosters for "coding" — AI-graded, open source, ready to install
Cursor Rules for headscaleUI provides development guidelines for Python/Flask projects, covering coding standards, error handling, and architecture patterns specific to the headscaleUI codebase. This booster benefits Flask developers working on scalable API projects who need consistent coding practices and architectural guidance.
A GitHub CLI booster that enables AI coding assistants to manage repositories, pull requests, issues, and GitHub Actions directly from code environments. Developers using Claude Code benefit from streamlined GitHub workflow automation without leaving their coding assistant.
Covalt provides Cursor-specific coding rules inspired by tinygrad principles, guiding developers to write clean, composable, and maintainable code through practical patterns like small functions, context managers, and helper extraction.
Session Start initializes a development environment for the fancai project by checking Git status and loading project context, helping developers quickly begin coding sessions with proper setup verification.
Lighthouse MCP server enables AI assistants to perform automated web performance analysis and auditing directly within Claude. Developers and performance engineers benefit from integrated Lighthouse reports without leaving their coding environment.
Intelli-router automatically triages user messages by complexity and routes them to the most cost-effective AI model (local Ollama, Claude Sonnet, Codex, or Claude Opus). Developers building multi-model AI systems benefit from reduced costs and optimized latency.
Laravel Boost Guidelines for Copilot provides curated instructions for Laravel development with specific package versions and coding conventions to enhance AI-assisted development workflows. It benefits Laravel developers using GitHub Copilot who need consistent, version-aware guidance for their projects.
DogDetector provides Copilot-specific coding guidelines for a cross-platform C++ project using vcpkg and CMake, helping developers maintain consistency in dependency management, build configuration, and file handling across MSVC, Clang, and GCC compilers.
A system prompt for AI coding assistants integrated into Neovim that enforces text-based code modification patterns instead of tool calls, enabling safe and predictable code editing across multiple platforms like Claude, Cursor, and Windsurf.
Atlas Guardrails provides context packing and duplicate detection tools to help AI coding assistants manage large codebases efficiently and avoid redundant code generation. Developers working on large projects benefit from cleaner context and reduced code duplication.
Node Code Sandbox MCP enables AI agents and LLMs to safely execute JavaScript code, install npm packages, and test implementations in real-time. Developers building coding assistants, automated testing tools, and interactive AI applications benefit from this secure, MCP-compliant execution environment.
Geist provides Cursor-integrated coding rules and best practices for Python, SQLAlchemy, logging, and server development using FastAPI and LLM models. It helps developers maintain consistent code standards and proper patterns when building AI-powered applications.
A Cursor IDE rules booster providing comprehensive coding guidelines for building modern Vue 3 + TypeScript + Tailwind CSS applications with Vite, emphasizing best practices, performance optimization, and functional programming patterns.
A Windsurf-specific coding rules prompt for the Lume static site framework that enforces clean code practices including meaningful naming, smart comments, and single responsibility principles. Developers using Lume with Windsurf will benefit from consistent code quality guidance.
OpenCap Coding Standards v1.0 is a prompt-based guide for developers working on the OpenCap Stack, emphasizing test-driven development, consistency, and LLM-assisted coding for Python/FastAPI backends on Windsurf. It benefits backend developers and AI coding assistant users seeking standardized, production-ready code practices.
A Copilot prompt booster that provides Laravel-specific coding guidelines and best practices for developers working with Laravel v12 and its ecosystem packages, helping them maintain consistency and follow framework conventions.
This booster integrates Pi (an external coding agent) with Claude Code, enabling developers to compare task execution across two AI systems and toggle between them. It's useful for teams wanting to benchmark or hybrid-test different AI coding approaches.
Gearhead provides Laravel-specific copilot instructions for a Software Engineering 1 & Application Development project, defining ecosystem package versions, coding conventions, and architectural guidelines to maintain consistency across a Laravel + Inertia + React stack.
A system prompt for orchestrating bug fixes across coding platforms (Claude, Cursor, Windsurf, ChatGPT) with enforced guardrails, diagnostic workflows, and multi-phase collaboration processes.
CodeRide is an MCP server that maintains persistent context across coding sessions, eliminating the need to reset context when switching between Claude, Cursor, and other compatible platforms. Developers working on long-term projects benefit from continuous context preservation without manual reset cycles.
Pipeshub MCP Server is a local Model Context Protocol server that integrates Pipeshub's functionality with Claude Desktop and Claude Code, enabling developers to access pipeline and API management tools directly within their AI coding environment.
A comprehensive AI-assisted development skill for XPR Network blockchain programming, covering smart contracts, SDKs, DeFi, and NFTs. Developers building on XPR Network benefit from guided, AI-enhanced coding assistance with critical safety disclaimers.
Cursor Rules provides Redux best practices and state management guidelines for Next.js projects, helping developers structure their Redux stores, slices, and async logic consistently. Developers using Cursor with Redux will benefit from integrated, context-aware coding assistance.
Wrap Session guides AI coding assistants through systematically documenting and preserving session context before ending work, ideal for maintaining continuity across interrupted coding sessions and memory management.
