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Google Labs' DESIGN.md format and CLI: designers capture colors, typography and spacing in a file for agents; lint checks broken references and WCAG contrast, diff compares versions and export outputs design tokens for Tailwind and more. Needs Node.js; the format is in alpha.

Google's official skill library and plugin marketplace: nearly 150 skills focused on Google Cloud (GKE, BigQuery, Cloud Run, IAM and more), plus 17 product plugins pairing skills with MCP for Cloud SQL, Spanner, AlloyDB, BigQuery, GCS and others.

Google's official skill library, focused on Google Cloud: 100+ skills for gcloud, Cloud Run, GKE, BigQuery, IAM, monitoring and logging, and the Well-Architected Framework, plus Ads and Analytics.

Unofficial Python library and CLI for driving Google NotebookLM (now Gemini Notebook): bulk-import sources, ask cited questions, and generate and download podcasts, videos, slides, quizzes and flashcards. Ships an agent skill. Relies on undocumented APIs and needs a Google sign-in.

Companion skills for Google Stitch: generate UIs from text or images, extract DESIGN.md from code, and turn designs into React or React Native components. From Google Labs but not an officially supported Google product; set up the Stitch MCP first.

Cleans a LaTeX project before arXiv submission: removes comments, auxiliary files and unused .tex files and images, and can compress images, so internal notes are not published with the source. From Google Research; installable with Homebrew on macOS.

Unofficial CLI and MCP that let agents work with NotebookLM (now Gemini Notebook): bulk-import sources, ask questions with citations, and generate audio overviews, quizzes, flashcards, mind maps and slides. Uses undocumented APIs and may break; needs a Google sign-in and uv.

Unofficial nlm CLI and MCP server for NotebookLM (now Gemini Notebook): bulk-create notebooks, import web pages and docs, and generate audio overviews, quizzes, flashcards, mind maps and slides for teaching and study. Relies on undocumented APIs and a Google sign-in, so it may break.

Google's official skills for building ADK agents: dev workflow, scaffolding, the ADK Python API, evaluation with LLM judges and adaptive rubrics, deployment to Agent Runtime, Cloud Run or GKE, publishing and observability. Works with agents-cli; local dev needs only an AI Studio key.

Teaches agents to code against the latest Gemini API and Python/TypeScript SDKs: multi-turn chat, function calling, structured output, and image and speech generation, while avoiding deprecated older models. Maintained by Google's Gemini team.

Gemini API development skills: gemini-api-dev (core API and SDKs), gemini-live-api-dev (real-time bidirectional audio/video streaming) and gemini-omni-flash-api (Omni video generation and editing), filling in APIs released after model training cutoffs. Maintained by Google's Gemini team.

Google's official Gemini CLI extension with a built-in MCP server: Nano Banana image generation and editing, photo restoration, icons, textures, step-by-step storyboards and diagrams. Needs Node.js and a Gemini API key; for Claude Code or Codex, clone and build the repo first.

Google Fonts' official font compiler: builds OTF, TTF or variable fonts from Glyphs, UFO or designspace sources, and with -i interpolates each weight from the source's export settings, so type designers can let agents produce builds. Needs Python 3.10+ and font source files.

Generates and edits images with Google's Gemini image model (Nano Banana) at up to 4K, keeping multiple characters consistent, rendering accurate text and setting aspect ratios. Needs a Gemini API key (or Vertex AI) and uv. Community project, not by Google.

When the user describes a concept in their own words that matches an established term of art, the agent appends that single term after its answer, linked to a Google Images search, so the user learns the proper name and can see examples.