46 AI tools for Gemini 2.0 ?
Expert Python developer skill that enforces modern Python 3.10+ practices including type hints, pattern matching, dataclasses, and async/await with PEP 8
GCSReader loads files and directories from Google Cloud Storage buckets into LlamaIndex, supporting single files, prefix filters, and custom extractors.
LlamaIndex Google Readers: Load data from Google Calendar, Docs, Drive, Gmail, Sheets, and more into Python.
LlamaIndex reader that fetches organic Google Search results via Zyte API, returning top search result URLs for any query to feed downstream document loaders.
A toolkit providing methods for Gmail operations including sending emails, managing drafts, fetching messages, managing labels, and handling contacts.
Google Calendar Toolkit is a reusable skill that enables AI assistants to create, retrieve, update, and delete events in Google Calendar programmatically.
Google Scholar Toolkit retrieves author profiles and publication data from Google Scholar, enabling automated queries for academic research metadata and
GitHub Workflow Automation skill provides patterns for automating PR reviews, issue triage, and CI/CD pipelines using GitHub Actions with AI assistance.
Senior Product Manager skill that applies 30+ PM frameworks, 12 templates, and calculates 32 SaaS metrics with exact formulas across strategy, discovery, and
TypeScript MCP server providing local-first document management with embedded Orama vector database, hybrid search, parent-child chunking, and built-in web
GoogleDriveMCPToolkit provides an interface for interacting with Google Drive using the Google Drive MCP server, with an optional timeout setting.
LlamaIndex integration pack that adds ZenGuard AI ultrafast guardrails to detect prompt injection, PII leakage, and topic drift in GenAI applications.
Automate Google AI Studio features including function calling, search, and code execution using promptfoo for streamlined AI interactions.
Test Google Vertex AI models with promptfoo. Optimize LLM performance and evaluate model outputs for your applications.
Prompt chain examples for testing Google Cloud Model Armor with Promptfoo, demonstrating security validation workflows for AI model deployments.
Multi-step workflow using OpenAI Assistants API (GPT-4), Code Interpreter, and DALL·E-3 to create slides from CSV data-including calculations, visualizations
A prompt workflow that combines OpenAI function calling with Google Places API and user profiles to deliver personalized, location-based venue recommendations.
Enhance search with AI: generate queries, re-rank results using embeddings, and get cited answers. Integrates with any search API.
Connect Google Ads to ChatGPT via Adzviser to query performance metrics using natural language, enabling quick analysis and optimization without leaving the
Step-by-step workflow to build a RAG system using Google Cloud BigQuery vector search with OpenAI embeddings, deployed via Cloud Functions and integrated into
