Skill

/baoyu-danger-gemini-web

Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image

One skill from baoyu-skills.

shell

$ npx -y skills add JimLiu/baoyu-skills --skill baoyu-danger-gemini-web --agent claude-code

Installs just this skill. Get the whole plugin for auto-invocation.

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfClaude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/baoyu-danger-gemini-web

Context preview

The summary Claude sees to decide when to auto-load this skill.

Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image

Stats

Stars24,058

Forks2,686

LanguageTypeScript

LicenseMIT

Ships with baoyu-skills

SKILL.md

baoyu-danger-gemini-web.SKILL.md

---
name: baoyu-danger-gemini-web
description: Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.
version: 1.56.2
metadata:
  openclaw:
    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-danger-gemini-web
    requires:
      anyBins:
        - bun
        - npx
---

# Gemini Web Client

Text/image generation via Gemini Web API. Supports reference images and multi-turn conversations.

## User Input Tools

When this skill prompts the user, follow this tool-selection rule (priority order):

1. **Prefer built-in user-input tools** exposed by the current agent runtime — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent.
2. **Fallback**: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
3. **Batching**: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.

Concrete `AskUserQuestion` references below are examples — substitute the local equivalent in other runtimes.