31 boosters for "google" — AI-graded, open source, ready to install
Automates downloading books from Anna's Archive and uploading them to Google NotebookLM for AI-powered document analysis. Useful for researchers and students who want to create searchable knowledge bases from books.
Heuristic scoring (no AI key configured).
ClawPod enables reliable web scraping and Google searching by bypassing bot detection, CAPTCHAs, and geo-restrictions using residential proxies. Developers building web data extraction, market research, or automated browsing tools will find this invaluable.
A development rules reference for Windsurf projects using Next.js 15, TypeScript, and Google Gemini, providing quick access to tech stack guidelines and Vercel AI SDK documentation.
This skill automates downloading books from Anna's Archive and uploading them to Google NotebookLM for interactive AI-powered reading. It benefits researchers, students, and knowledge workers who want to quickly build searchable knowledge bases from downloaded books.
Enables Claude to delegate code review, debugging, and alternative implementation exploration to Google Gemini CLI through a JSON bridge script. Useful for developers who want multi-model validation and second opinions on code without manual context switching.
Cursor Rules for Apps Script monorepo development that provides AI-assisted guidance for TypeScript→JavaScript compilation, pnpm/turborepo workflows, and Google Workspace integration. Developers building Google Apps Script projects with Cursor will benefit from automated setup and build command suggestions.
An MCP server that integrates Google Programmable Search Engine (PSE) with Claude, enabling AI to perform web searches within custom search engines. Developers and researchers benefit from seamless search integration in AI applications.
Copilot instructions for building a synchronous document database in Google Apps Script using Google Drive as storage, following TDD and SOLID principles. Useful for developers building database solutions within Google's ecosystem, though implementation complexity is high.
This MCP server integrates Google Trends API data into Claude, enabling access to trending topics, questions, and search data. It's useful for researchers, content creators, marketers, and developers who need real-time trend intelligence.
An MCP server that enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, medRxiv, and Google Scholar. Ideal for researchers, students, and developers who need programmatic access to academic literature.
gas-gpt-starter is a ready-to-deploy starter kit that enables Google Sheets users to leverage OpenAI's GPT models through a custom CHATGPT() function, eliminating the need for custom development. It benefits Google Workspace users and developers who want to quickly integrate AI capabilities into their spreadsheets.
A system prompt for automating browser-based tasks using AI agents with Playwright and Gemini, enabling developers to build automated workflows for web interactions like job searches and email management across multiple AI platforms.
A specialized Copilot prompt that configures an AI agent as an expert assistant for building and deploying ASP.NET Core web APIs and Blazor WebAssembly apps to Google Cloud, with integrated validation and iterative problem-solving capabilities.
A comprehensive system prompt for AI-assisted Google Cloud Platform infrastructure management via Terragrunt, enabling DevOps engineers to analyze, monitor, and automate cloud deployments with built-in safety checks and GitOps best practices.
An MCP server that enables AI agents to join Google Meet calls, participate in conversations through speech and text, and transcribe audio in real-time. Useful for developers building autonomous meeting assistants, note-taking bots, and AI-powered communication tools.
An expert agent for integrating and managing AI models across OpenAI, Google Gemini, Anthropic Claude, and AWS Bedrock with unified patterns and best practices. Ideal for developers building multi-provider AI applications who need current API knowledge and implementation guidance.
Delegates code review, debugging, and alternative implementation comparisons to Google Gemini CLI (`gemini`) via a JSON bridge script (default model: `gemini-3-pro-preview`). Supports headless one-shot and multi-turn sessions via `SESSION_ID`, with conservative defaults for Gemini effective-context constraints (file-scoped, `--no-full-access` by default) while allowing user override.
This skill automates downloading books from Anna's Archive and uploading them to Google NotebookLM for AI-powered document analysis. It's useful for researchers and students who want to create knowledge bases from books without manual uploads.
A comprehensive configuration guide for integrating Google's Gemini language model as an agent within the CodeBolt platform, enabling developers to customize AI-assisted code generation across multiple programming languages and frameworks.
An agent specialized in integrating multiple AI providers (OpenAI, Anthropic, Google AI) with expertise in prompt engineering, embeddings, RAG implementation, and error handling. Ideal for developers building multi-LLM applications who need standardized integration patterns and fallback strategies.
Converts deepagents' single `task` tool into individual `AgentTool` instances for cleaner sub-agent delegation in adk-deepagents. Developers building hierarchical multi-agent systems benefit from this more modular approach to agent composition.
MCP server for AI agents to manage ad campaigns across Google, Meta, LinkedIn, Microsoft, Reddit, TikTok, and more
A Model Context Protocol server that integrates Streamable HTTP streaming with Claude, enabling developers to build streaming-capable AI applications on Google Cloud. Useful for developers building MCP servers that need HTTP streaming and structured logging.
