How do I install the Gemini skill?

Run npx skillmds@latest add ashish7802/gemini in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Gemini skill do?

Google Gemini API Skill It is listed under Integrations & APIs on SkillMD.

Is Gemini safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Gemini?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Gemini free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Gemini?

ashish7802 (@ashish7802) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Gemini by ashish7802 — Agent Skill

Name: Gemini
Author: ashish7802

File contents

Google Gemini API Skill

Overview

Google Gemini offers natively multimodal capabilities (text, image, audio, video). This skill focuses on @google/genai and the v1beta API surface.

Installation

npm install @google/genai
pip install google-genai

Authentication

Use a Google API key passed to the client initialization. For GCP environments, Vertex AI authentication via IAM is preferred.

Core Concepts

Parts: The building blocks of a message. A part can be text or inline data (images).
Gemini 1.5 Pro: Features a massive 1-million to 2-million token context window.
System Instructions: Provided at the model initialization level.

Common Workflows

Initialize GoogleGenAI.
Call models.generateContent with a multimodal array of parts.
Extract the text from the response candidate.

Error Handling

Watch for FinishReason.SAFETY. If the model refuses to answer due to safety settings, the response will be empty but the finishReason will indicate why.

Security

Tune safety settings (HARM_CATEGORY_HATE_SPEECH, etc.) according to your application's risk tolerance.

Rate Limits

Free tier offers 15 RPM for Gemini 1.5 Flash. Paid tiers depend on GCP quotas.

Best Practices

Leverage the massive context window by uploading entire codebases or PDFs rather than aggressively chunking, as Gemini 1.5's recall is exceptionally high.

Troubleshooting

If multimodal requests fail, ensure inline data is base64 encoded and the correct MIME type (e.g., image/jpeg) is specified.

References

API Reference

Why use this skill

Use this when your agent works with gemini — structured patterns beat pasted docs and prevent common hallucinations.

AI pitfalls

Using deprecated model IDs or wrong API endpoints
Confusing chat vs completions vs embeddings APIs
Omitting rate-limit and token budget handling

Production checklist

Secrets in environment variables, not source code
Error handling and logging in place
Rate limits and timeouts configured

Related skills

langchain — integrates with
llamaindex — integrates with

Last Verified: 2026-07-02

---name: geminidescription: Google Gemini API Skill---# Google Gemini API Skill## OverviewGoogle Gemini offers natively multimodal capabilities (text, image, audio, video). This skill focuses on `@google/genai` and the v1beta API surface.## Installation```bashnpm install @google/genaipip install google-genai```## AuthenticationUse a Google API key passed to the client initialization. For GCP environments, Vertex AI authentication via IAM is preferred.## Core Concepts- **Parts**: The building blocks of a message. A part can be text or inline data (images).- **Gemini 1.5 Pro**: Features a massive 1-million to 2-million token context window.- **System Instructions**: Provided at the model initialization level.## Common Workflows1. Initialize `GoogleGenAI`.2. Call `models.generateContent` with a multimodal array of parts.3. Extract the text from the response candidate.## Error HandlingWatch for `FinishReason.SAFETY`. If the model refuses to answer due to safety settings, the response will be empty but the `finishReason` will indicate why.## SecurityTune safety settings (`HARM_CATEGORY_HATE_SPEECH`, etc.) according to your application's risk tolerance.## Rate LimitsFree tier offers 15 RPM for Gemini 1.5 Flash. Paid tiers depend on GCP quotas.## Best PracticesLeverage the massive context window by uploading entire codebases or PDFs rather than aggressively chunking, as Gemini 1.5's recall is exceptionally high.## TroubleshootingIf multimodal requests fail, ensure inline data is base64 encoded and the correct MIME type (e.g., `image/jpeg`) is specified.## References- [API Reference](https://ai.google.dev/api)## Why use this skillUse this when your agent works with **gemini** — structured patterns beat pasted docs and prevent common hallucinations.## AI pitfalls- Using deprecated model IDs or wrong API endpoints- Confusing chat vs completions vs embeddings APIs- Omitting rate-limit and token budget handling## Production checklist- [ ] Secrets in environment variables, not source code- [ ] Error handling and logging in place- [ ] Rate limits and timeouts configured## Related skills- [`langchain`](../langchain/SKILL.md) — integrates with- [`llamaindex`](../llamaindex/SKILL.md) — integrates with---> **Last Verified:** 2026-07-02

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