Name: Gemini
Author: steipete

What breaks without openclaw gemini google skill

Single model dependency. Short context limits on long documents. No multimodal reasoning option.

→

Gemini 1M context access × 270-star integration ÷ 5–10 minute setup ÷ pin model version = long-document analysis unlocked.

openclaw gemini google skill — what it actually does

Route OpenClaw agent requests to Google Gemini models.

Use Gemini's 1M token context for long-document analysis.

Leverage multimodal vision capabilities inside OpenClaw.

Pin model version — Gemini names change with each release.

Compare Flash vs Pro vs Ultra pricing before production use.

Security check — openclaw gemini google skill

Privacy score: 7/10 — accesses connected platform APIs only. Lock it: review OAuth scopes before install, confirm Linux, macOS; OpenClaw ≥1.0 compatibility.

Quick start — openclaw gemini google skill in 5–10 minutes

Setup time: 5–10 minutes

You need:

OpenClaw core
Google AI Studio API key

Install the package:

clawhub install steipete/gemini

Get API key at aistudio.google.com

Set GEMINI_API_KEY in .env

Install skill

Run /gemini tell me about quantum computing

Troubleshooting openclaw gemini google skill

1. Model names change with each release — always pin model version

2. Flash vs Pro vs Ultra have different pricing — check before production use

Compatibility & status

Works with: Linux, macOS; OpenClaw ≥1.0 beginner Last updated: Nov 2025 ★ 270 on GitHub MIT

Official docs →

View on GitHub →

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Context limits blocking your long-document workflows cost analysis daily. Install the openclaw gemini google skill now.

Get it on GitHub →