Gemini AI Agent Skills

Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.

ScrapeBadger MCP Server Give your AI agents access to Twitter/X data via the Model Context Protocol ScrapeBadger MCP Server is a Model Context Protocol (MCP) server that enables AI assistants like Claude, ChatGPT, Cursor, Windsurf, and other MCP-compatible clients to access Twitter/X data through the ScrapeBadger API. With this MCP server, your AI can: - Get Twitter user profiles, followers, and f

Fast, opinionated TUI for AI-assisted coding. McGravity orchestrates AI coding tools (Claude Code, Codex, Gemini) in a tight feedback loop: plan small tasks → execute one at a time → review → replan. Instead of dumping a huge prompt and hoping for the best, McGravity breaks your work into atomic pieces that are easier to verify and course-correct. McGravity runs a continuous improvement loop: McGr

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.

Seamlessly integrate Wolfram Alpha into your chat applications. This project implements an MCP (Model Context Protocol) server designed to interface with the Wolfram Alpha API. It enables chat-based applications to perform computational queries and retrieve structured knowledge, facilitating advanced conversational capabilities. Included is an MCP-Client example utilizing Gemini via LangChain, dem

English Version 基于 Google 的 Imagen 3.0 的图像生成工具，通过 MCP（Model Control Protocol）提供服务。 画一只奔跑的杰克罗素犬，长焦镜头，阳光透过狗狗的毛发，照片级画质 画一个科技感十足的苹果 - 有效的 Google Gemini API 密钥 1. 从 GitHub Releases 下载最新版本的可执行文件 2. 将下载的可执行文件放置在系统中的任意位置，例如 C:\bin\imagen3-mcp.exe 3. 在 Cherry Studio 中配置： - Command 字段填写可执行文件路径，例如 C:\bin\imagen3-mcp.exe - 环境变量 GEMINIAPIKEY 中填写你的 Gemini API 密钥 - [可选] 环境变量 BASEURL 中填写代理地址，例如 https://lingxi-pro

ROS-MCP-Server connects large language models (such as Claude, GPT, and Gemini) with existing robots giving them bidirectional AI integration. With no changes to existing robot source code, this enables: - 🗣 Commanding the robot in natural language → instructions are translated into ROS/ROS2 commands. - 👀 Giving AI full visibility → subscribe to topics, call services, read sensor data, and monit

Write less code and say less about it. Honey (I Shrunk the AI) by GreenPT is a cross-tool coding skill that cuts AI coding-agent token usage and LLM API costs — making agents emit less code and less prose without losing correctness. It works with Claude (claude.ai and the API), Claude Code, Cursor, GitHub Copilot, Codex, Gemini CLI, Windsurf, Cline, OpenClaw, Kiro, and Kilo Code. Three independent

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.

A local-first CLI that orchestrates multi-agent AI workflows for software development. Give it a task — or feed it your specs, PRDs, and guidelines — and it coordinates specialized agents to architect, code, review, test, and ship automatically. No cloud dependency. Bring your own API keys. Your code stays on your machine. Each stage uses a specialized AI agent with tuned prompts and parameters. T

Your MCPs, supercharged. Find any tool instantly, execute with code mode, run on schedule, discover skills, load Photons, ready for any client. Smart loading saves tokens and energy. Instead of your AI juggling 50+ tools scattered across different MCPs, NCP gives it a single, unified interface with code mode execution, scheduling, skills discovery, and custom Photons. Your AI sees just 2-3 simple

A Model Context Protocol (MCP) server that provides intelligent summarization capabilities for various types of content using Google's Gemini 1.5 Pro model. This server can help you generate concise summaries while maintaining key information from different content formats. The summarization service is powered by 3MinTop, an AI-powered reading tool that helps you understand a chapter's content in

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

An MCP (Model Context Protocol) server that exposes a collection of system prompts, summaries, and tool definitions from popular AI tools as MCP tools for AI coding environments like Cursor and Claude Desktop. - 🔍 Automatic Discovery – Every prompt in prompts/ is automatically exposed as an MCP tool - 🎯 Model-Aware Suggestions – Get prompt recommendations based on your LLM (Claude, GPT, Gemini,

Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).

501 algorithmic trading skills · 16 engineering domains · 5 regulatory & exchange frameworks · 501 working reference implementations backed by 20,291 unit tests · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI and any tool that reads SKILL.md · Apache 2.0 Get Started · What's Inside · How It's Verified · Frameworks & Standards · Platforms · Contribu

A Model Control Protocol (MCP) server for managing and serving dynamic prompt templates using elegant and powerful text template engine. Create reusable, logic-driven prompts with variables, partials, and conditionals that can be served to any compatible MCP client like Claude Code, Claude Desktop, Gemini CLI, VSCode with Copilot, etc. - MCP Compatible: Works out-of-the-box with any MCP client tha

English | 日本語 mcp-alphabanana is a Model Context Protocol (MCP) server for generating image assets with Google Gemini. It is built for MCP-compatible clients and agent workflows that need fast image generation, transparent outputs, reference-image guidance, and flexible delivery formats. Keywords: MCP server, Model Context Protocol, Gemini AI, image generation, FastMCP Key capabilities: - Ultra-fa

+W is a universal "save for later" action for commerce. This MCP server lets AI assistants save any product URL to a user's Wishfinity wishlist with one click. Works with Claude, ChatGPT, Gemini, LangChain, OpenAI Agents SDK, and any MCP-compatible client. When an AI recommends a product, it can offer +W Add to Wishlist. The user clicks the link, and the product is saved to their Wishfinity accoun

Drive four external coding CLIs — Google's Antigravity (Gemini 3.6 Flash), OpenAI Codex, the GitHub Copilot CLI, and Cursor — as sub-agents inside Claude Code. Text answers, image generation, real repo work, and parallel swarms, on quota you already pay for. One MCP server, four backends. It exposes Google Antigravity, OpenAI Codex, the GitHub Copilot CLI, and Cursor to Claude Code as clean MCP to

MCP Unity is an implementation of the Model Context Protocol for Unity Editor, allowing AI assistants to interact with your Unity projects. This package provides a bridge between Unity and a Node.js server that implements the MCP protocol, enabling AI agents like Cursor, Windsurf, Claude Code, Codex CLI, GitHub Copilot, and Google Antigravity to execute operations within the Unity Editor. MCP Unit

A Model Context Protocol (MCP) server that enables you to manage Gitea/Forgejo repositories through AI assistants like Claude, Gemini, and Copilot. If you want to: - Smart progress tracking: Let AI help you track project progress and analyze bottlenecks - Automated issue categorization: Automatically tag issue labels and set milestones based on content - Priority sorting: Let AI analyze issue cont

A local Model Context Protocol (MCP) server that provides structured, high-signal insight into a Git repository, enabling AI coding agents to understand project state, structure, activity, and risk — without uploading or modifying the codebase. AI coding agents (Claude Code, Cursor, Codex, Gemini, etc.) are powerful, but they lack situational awareness when working with non-trivial codebases. They

MCP (Model Context Protocol) server for Nanana AI image generation service powered by Google Gemini's nano banana model. This server allows Claude Desktop and other MCP clients to generate and transform images using nano banana's powerful image generation capabilities. 1. Visit nanana.app and sign in 2. Go to your account dashboard 3. Generate an API token in the "API Access" section 4. Copy and s