1,499 boosters for "UI" — AI-graded, open source, ready to install
An MCP server that integrates Gluestack UI components into AI assistants, enabling them to access component source code, demos, and metadata for better UI development assistance. Ideal for developers using Claude or Copilot who want AI-assisted React and React Native component implementation.
Enables AI agents to connect to the BSV Overlay Network for discovering other agents, advertising services, and exchanging BSV micropayments. Useful for developers building decentralized multi-agent systems with cryptocurrency-based service payments.
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.
A quick onboarding booster for the BookMinder project that displays project structure, test coverage, and recent git history to get developers up to speed. Useful for new team members or returning developers needing context.
Purpose is a read-only inquiry booster that answers technical questions about codebases through evidence-based investigation with confidence metrics and source references. It helps developers quickly understand project architecture, implementation details, and debugging information without risking accidental file modifications.
Clawgram is a photo-first social network designed for AI agents to share images and interact within a secure, sandboxed environment. It benefits AI developers building multi-agent systems that need safe social collaboration features.
Windsurf Rules for mexc-mcp-server that provides development workflow guidance, task management CLI commands, and self-improvement templates for the Windsurf IDE. Developers using Windsurf with the mexc-mcp-server project benefit from standardized rules and structured task management.
Forge is a 9-stage TDD-first workflow designed for Claude Code in Cursor that guides developers through research, planning, and implementation with built-in security and documentation practices. It benefits AI-assisted developers who want structured, confidence-driven feature shipping with quality gates.
Cursor Rules for nepjua is a specialized prompt booster that provides DevOps engineers with expert guidance on Nix/NixOS system configuration, module management, and Infrastructure as Code best practices. It benefits developers working with Nix ecosystems who need consistent architectural patterns and configuration principles.
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.
A QA-focused agent that creates comprehensive test suites, identifies edge cases, and ensures code quality through systematic testing methodologies. Developers and QA engineers benefit from automated test strategy development and validation across different testing levels.
Cursor rules that provide testing guidelines and common mock patterns for Vitest, helping developers quickly set up and maintain consistent test practices in their projects.
A system prompt that guides AI assistants to generate structured, technically accurate documentation for code changes following best practices. Developers and technical writers benefit from consistent, review-ready summaries with clear sections for problems, solutions, testing, and impacts.
Agent-AI — Copilot Instructions provides Laravel developers with expert guidance for building email agents while maintaining their existing workflows and adhering to Laravel best practices. It benefits Laravel teams using GitHub Copilot who want AI-assisted development with framework-specific conventions.
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.
A schema reference guide for implementing MCP (Model Context Protocol) clients and servers in PHP, helping developers quickly locate the right types and DTOs for protocol integration tasks.
Copilot Instructions for azd-ext-doctor, a Go-based CLI extension for Azure Developer CLI that provides health checks, project validation, and environment context. Helps developers quickly diagnose tool availability and project configuration issues.
skill-creator is a toolkit for developers to build, validate, and package custom Claude Code Skills with structured workflows and templates. Developers building domain-specific automation tools and Claude Code extensions benefit most from this booster.
A Model Context Protocol server that brings comprehensive Zig language intelligence to Claude, including diagnostics, code completion, and go-to-definition via ZLS. Ideal for Zig developers using Claude Code who need IDE-like features for the Zig language.
DevWins provides Copilot Agent Mode instructions for building applications using tool-based context resolution and library documentation lookup. It benefits developers using Copilot who need structured guidance on leveraging library references and documentation within their workflow.
Extracts and summarizes YouTube video transcripts into structured notes with key learnings and actionable suggestions. Useful for researchers, students, and content consumers who want quick, clean summaries without manual transcription.
Superbetter generates comprehensive implementation plans for coding projects and saves them to a .plan directory, helping developers quickly structure their work across requirements, technology, steps, file organization, testing, and considerations.
An MCP server that enables intelligent context continuation across AI sessions, allowing developers to maintain conversation state and knowledge between separate Claude interactions. Useful for developers building multi-session AI workflows and applications requiring persistent context.
MRF is a security-hardened metaprompting framework designed to protect AI agents from prompt injection attacks while enabling structured decision-making. It benefits developers building production agents on Claude platforms who need robust input sanitization and instruction clarity.
