A guide for using Google's Gemini AI models through Agent Platform, Google's managed cloud service for business AI applications. It covers text, images, audio, video, documents, function calls, JSON output, embeddings, live interactions, and batch processing.

Use it to build applications that generate or summarize text, understand media and documents, call your functions, return structured data, support semantic search, or process large jobs.

It helps developers choose the current Google SDK and connect Gemini to business software without relying on older libraries or unclear setup instructions.

gemini-api — Skill for Claude Code and Codex by richardhe-fundamenta

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add richardhe-fundamenta/practical-gcp-examples --skill gemini-api

Clone the repo

git clone --depth 1 https://github.com/richardhe-fundamenta/practical-gcp-examples

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/richardhe-fundamenta/practical-gcp-examples/gemini-api/github.svg)](https://agentmods.dev/skills/richardhe-fundamenta/practical-gcp-examples/gemini-api)

Your own site

<a href="https://agentmods.dev/skills/richardhe-fundamenta/practical-gcp-examples/gemini-api"><img src="https://agentmods.dev/badge/skills/richardhe-fundamenta/practical-gcp-examples/gemini-api/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/richardhe-fundamenta/practical-gcp-examples/gemini-api"><img src="https://agentmods.dev/badge/skills/richardhe-fundamenta/practical-gcp-examples/gemini-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,365 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 84% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00083	$0.02365
Opus 5	$0.00042	$0.01182
Sonnet 5	$0.00017	$0.00473
Haiku 4.5	$0.00008	$0.00236

Measured 9d ago against content hash 8e8bb459fdf6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

gemini-api scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

84% identical to gemini-api-agent-platform — 58 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

adk-agy-agent/skills/gemini-api/SKILL.md · 238 lines

How it starts

The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.

IMPORTANT: Agent Platform (full name Gemini Enterprise Agent Platform) was previously named "Vertex AI" and many web resources use the legacy branding.

Gemini API in Agent Platform

Access Google's most advanced AI models built for enterprise use cases using the Gemini API in Agent Platform.

Provide these key capabilities:

Text generation - Chat, completion, summarization
Multimodal understanding - Process images, audio, video, and documents
Function calling - Let the model invoke your functions
Structured output - Generate valid JSON matching your schema
Context caching - Cache large contexts for efficiency
Embeddings - Generate text embeddings for semantic search
Live Realtime API - Bidirectional streaming for low latency Voice and Video interactions
Batch Prediction - Handle massive async dataset prediction workloads

Core Directives

Unified SDK: ALWAYS use the Gen AI SDK (google-genai for Python, @google/genai for JS/TS, google.golang.org/genai for Go, com.google.genai:google-genai for Java, Google.GenAI for C#).
Legacy SDKs: DO NOT use google-cloud-aiplatform, @google-cloud/vertexai, or google-generativeai.

SDKs

Python: Install google-genai with pip install google-genai
JavaScript/TypeScript: Install @google/genai with npm install @google/genai
Go: Install google.golang.org/genai with go get google.golang.org/genai
C#/.NET: Install Google.GenAI with dotnet add package Google.GenAI
Java:
- groupId: com.google.genai, artifactId: google-genai
- Latest version can be found here: https://central.sonatype.com/artifact/com.google.genai/google-genai/versions (let's call it LAST_VERSION)
- Install in build.gradle:
```
implementation("com.google.genai:google-genai:${LAST_VERSION}")
```
- Install Maven dependency in pom.xml:
```
<dependency>
    <groupId>com.google.genai</groupId>
    <artifactId>google-genai</artifactId>
    <version>${LAST_VERSION}</version>
</dependency>
```

Read the full file on GitHub · 238 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

9d ago First seen · 238 lines · 83 tokens per session scan A 8e8bb459fdf6

Subscribe to this mod's changes

gemini-api is a skill published in the GitHub repository richardhe-fundamenta/practical-gcp-examples (57 stars, last pushed 24d ago), licensed MIT. It adds 83 tokens to every session and 2,365 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to gemini-api-agent-platform, differing in 58 lines, and is treated as a copy.

Backend and APIs Data and AI

gemini-api-agent-platform

Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK for enterprise AI applications. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like Live API, tools, multimedia generation, caching, and batch prediction.

davila7/claude-code-templates · 61 tokens

open-source

Documentation reference for writing Python code using the browser-use open-source library. Use this skill whenever the user needs help with Agent, Browser, or Tools configuration, is writing code that imports from browseruse, asks about @sandbox deployment, supported LLM models, Actor API, custom tools, lifecycle…

browser-use/browser-use · 137 tokens

gemini-api-dev

Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. Covers SDK usage and best…

google-gemini/gemini-skills · 73 tokens

deepstream-sop

Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP Inference Microservice — a GPU-accelerated FastAPI service that detects whether operators perform assembly-line steps in order via event boundary detection (GEBD) plus VLM classification. Trigger even if the…

NVIDIA/skills · 219 tokens

azure-search-documents-dotnet

Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search. Covers SearchClient (queries, document CRUD), SearchIndexClient (index management), and SearchIndexerClient (indexers, skillsets). Triggers: "Azure Search .NET"…

microsoft/skills · 102 tokens

azure-search-documents-ts

Build search applications using Azure AI Search SDK for JavaScript (@azure/search-documents). Use when creating/managing indexes, implementing vector/hybrid search, semantic ranking, or building agentic retrieval with knowledge bases.

microsoft/skills · 48 tokens