Gemini

CommunityPopular

Anil-matcha

gemini

Google Gemini media generation: Nano Banana images, Imagen 4 images, Veo video, TTS, model listing. Trigger phrases: gemini image, nano banana, imagen, veo video, google veo, gemini tts.

Overview

Publisher	Anil-matcha
Repository	`awesome-muse-connectors`
Skill name	`gemini`
Stars	1.4K
Forks	309
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Anil-matcha on GitHub. Read the source before you install it.

Installation

Install the Gemini AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/gemini
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git /tmp/awesome-muse-connectors
mkdir -p .claude/skills
cp -r /tmp/awesome-muse-connectors/connectors/gemini .claude/skills/gemini

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gemini in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gemini on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gemini is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Gemini (media generation)

Purpose

Generate images (Nano Banana, Imagen 4), video (Veo 3.1), and speech (TTS) through Google's Gemini API with one key and one bill. Use when Michael asks for AI-generated images, video clips, thumbnails, or voiceovers via Google.

Tooling

All commands go through bin/gemini.py:

bash
bin/gemini.py auth                                                        # verify the API key (free)
bin/gemini.py models --limit 50                                           # list available models
bin/gemini.py image --prompt "a ceramic fox" --out /tmp/fox               # Nano Banana text-to-image (or edit with --image)
bin/gemini.py image --prompt "make it night" --image ./fox.png --out /tmp/fox-night
bin/gemini.py imagen --prompt "studio product shot" --count 2 --out /tmp/prod   # Imagen 4
bin/gemini.py video --prompt "a drone shot over a harbor"                 # Veo 3.1, prints an operation id
bin/gemini.py op-status --op operations/abc123                            # poll the Veo operation
bin/gemini.py tts --text "Hello there" --voice Kore --out /tmp/line       # text-to-speech

image and imagen save files to the --out prefix and are synchronous. video is async: it returns an operation id, poll op-status until done is true, then download the video file (files.download). --json merges extra fields into any request.

Auth

Provider id: gemini (credential is collected as custom.gemini)
Collection: API key via the secure credential flow (credentials.request_api_access); created in Google AI Studio (aistudio.google.com/apikey)
Allowed hosts: generativelanguage.googleapis.com
Status check: bin/gemini.py auth (must return "ok": true). The key is sent verbatim as the x-goog-api-key header.

Operating Rules

COST WARNING: all media generation requires a BILLING-ENABLED Google Cloud project. Free-tier media quota is 0, so calls without billing fail. This is the number one integration pitfall.
Every generation spends real money: Veo 3 ~$0.40/sec, Veo 3.1 Fast ~$0.10/sec, Veo 3.1 Lite ~$0.05/sec, Imagen 4 ~$0.02-0.06/image, Nano Banana ~$0.02-0.04/image. Confirm with Michael before every generation, stating the model and expected cost.
Veo renders take minutes. Poll op-status with backoff; do not hammer it.
Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/gemini.py). Do not print, log, or transmit the key value.

Files

SKILL.md
bin/gemini.py

Maturity

🧪 Draft: written from Google's public Gemini API docs via the research dossier; not yet live-tested end-to-end.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

bin/gemini.py9 KB

Frequently asked questions

What does the Gemini AI skill do?

Google Gemini media generation: Nano Banana images, Imagen 4 images, Veo video, TTS, model listing. Trigger phrases: gemini image, nano banana, imagen, veo video, google veo, gemini tts.

Why use Gemini on TypingMind?

Because you install it once and use it with any model. Gemini is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gemini in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/gemini. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Gemini?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gemini?

As many as you like. As long as a model supports skills, you can use Gemini with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gemini AI skill free?

Yes. It is published on GitHub by Anil-matcha under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Gemini (media generation)

Purpose

Tooling

Auth

Operating Rules

Files

Maturity

Bundled files

Frequently asked questions

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