multiAI Summary Pending
baoyu-danger-gemini-web
Image generation skill using Gemini Web. Generates images from text prompts via Google Gemini. Also supports text generation. Use as the image generation backend for other skills like cover-image, xhs-images, article-illustrator.
231 stars
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/baoyu-danger-gemini-web/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/jimliu/baoyu-danger-gemini-web/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/baoyu-danger-gemini-web/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How baoyu-danger-gemini-web Compares
| Feature / Agent | baoyu-danger-gemini-web | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Image generation skill using Gemini Web. Generates images from text prompts via Google Gemini. Also supports text generation. Use as the image generation backend for other skills like cover-image, xhs-images, article-illustrator.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Gemini Web Client
Supports:
- Text generation
- Image generation (download + save)
- Reference images for vision input (attach local images)
- Multi-turn conversations via persisted `--sessionId`
## Script Directory
**Important**: All scripts are located in the `scripts/` subdirectory of this skill.
**Agent Execution Instructions**:
1. Determine this SKILL.md file's directory path as `SKILL_DIR`
2. Script path = `${SKILL_DIR}/scripts/<script-name>.ts`
3. Replace all `${SKILL_DIR}` in this document with the actual path
**Script Reference**:
| Script | Purpose |
|--------|---------|
| `scripts/main.ts` | CLI entry point for text/image generation |
| `scripts/gemini-webapi/*` | TypeScript port of `gemini_webapi` (GeminiClient, types, utils) |
## ⚠️ Disclaimer (REQUIRED)
**Before using this skill**, the consent check MUST be performed.
### Consent Check Flow
**Step 1**: Check consent file
```bash
# macOS
cat ~/Library/Application\ Support/baoyu-skills/gemini-web/consent.json 2>/dev/null
# Linux
cat ~/.local/share/baoyu-skills/gemini-web/consent.json 2>/dev/null
# Windows (PowerShell)
Get-Content "$env:APPDATA\baoyu-skills\gemini-web\consent.json" 2>$null
```
**Step 2**: If consent exists and `accepted: true` with matching `disclaimerVersion: "1.0"`:
Print warning and proceed:
```
⚠️ Warning: Using reverse-engineered Gemini Web API (not official). Accepted on: <acceptedAt date>
```
**Step 3**: If consent file doesn't exist or `disclaimerVersion` mismatch:
Display disclaimer and ask user:
```
⚠️ DISCLAIMER
This tool uses a reverse-engineered Gemini Web API, NOT an official Google API.
Risks:
- May break without notice if Google changes their API
- No official support or guarantees
- Use at your own risk
Do you accept these terms and wish to continue?
```
Use `AskUserQuestion` tool with options:
- **Yes, I accept** - Continue and save consent
- **No, I decline** - Exit immediately
**Step 4**: On acceptance, create consent file:
```bash
# macOS
mkdir -p ~/Library/Application\ Support/baoyu-skills/gemini-web
cat > ~/Library/Application\ Support/baoyu-skills/gemini-web/consent.json << 'EOF'
{
"version": 1,
"accepted": true,
"acceptedAt": "<ISO timestamp>",
"disclaimerVersion": "1.0"
}
EOF
# Linux
mkdir -p ~/.local/share/baoyu-skills/gemini-web
cat > ~/.local/share/baoyu-skills/gemini-web/consent.json << 'EOF'
{
"version": 1,
"accepted": true,
"acceptedAt": "<ISO timestamp>",
"disclaimerVersion": "1.0"
}
EOF
```
**Step 5**: On decline, output message and stop:
```
User declined the disclaimer. Exiting.
```
---
## Quick start
```bash
npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello, Gemini"
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Explain quantum computing"
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cute cat" --image cat.png
npx -y bun ${SKILL_DIR}/scripts/main.ts --promptfiles system.md content.md --image out.png
# Multi-turn conversation (agent generates unique sessionId)
npx -y bun ${SKILL_DIR}/scripts/main.ts "Remember this: 42" --sessionId my-unique-id-123
npx -y bun ${SKILL_DIR}/scripts/main.ts "What number?" --sessionId my-unique-id-123
```
## Commands
### Text generation
```bash
# Simple prompt (positional)
npx -y bun ${SKILL_DIR}/scripts/main.ts "Your prompt here"
# Explicit prompt flag
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Your prompt here"
npx -y bun ${SKILL_DIR}/scripts/main.ts -p "Your prompt here"
# With model selection
npx -y bun ${SKILL_DIR}/scripts/main.ts -p "Hello" -m gemini-2.5-pro
# Pipe from stdin
echo "Summarize this" | npx -y bun ${SKILL_DIR}/scripts/main.ts
```
### Image generation
```bash
# Generate image with default path (./generated.png)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A sunset over mountains" --image
# Generate image with custom path
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cute robot" --image robot.png
# Shorthand
npx -y bun ${SKILL_DIR}/scripts/main.ts "A dragon" --image=dragon.png
```
### Vision input (reference images)
```bash
# Text + image -> text
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Describe this image" --reference a.png
# Text + image -> image
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Generate a variation" --reference a.png --image out.png
```
### Output formats
```bash
# Plain text (default)
npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello"
# JSON output
npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello" --json
```
## Options
| Option | Description |
|--------|-------------|
| `--prompt <text>`, `-p` | Prompt text |
| `--promptfiles <files...>` | Read prompt from files (concatenated in order) |
| `--model <id>`, `-m` | Model: gemini-3-pro (default), gemini-2.5-pro, gemini-2.5-flash |
| `--image [path]` | Generate image, save to path (default: generated.png) |
| `--reference <files...>`, `--ref <files...>` | Reference images for vision input |
| `--sessionId <id>` | Session ID for multi-turn conversation (agent generates unique ID) |
| `--list-sessions` | List saved sessions (max 100, sorted by update time) |
| `--json` | Output as JSON |
| `--login` | Refresh cookies only, then exit |
| `--cookie-path <path>` | Custom cookie file path |
| `--profile-dir <path>` | Chrome profile directory |
| `--help`, `-h` | Show help |
CLI note: `scripts/main.ts` supports text generation, image generation, reference images (`--reference/--ref`), and multi-turn conversations via `--sessionId`.
## Models
- `gemini-3-pro` - Default, latest model
- `gemini-2.5-pro` - Previous generation pro
- `gemini-2.5-flash` - Fast, lightweight
## Authentication
First run opens a browser to authenticate with Google. Cookies are cached for subsequent runs.
**Supported browsers** (auto-detected in order):
- Google Chrome
- Google Chrome Canary / Beta
- Chromium
- Microsoft Edge
Override with `GEMINI_WEB_CHROME_PATH` environment variable if needed.
```bash
# Force cookie refresh
npx -y bun ${SKILL_DIR}/scripts/main.ts --login
```
## Environment variables
| Variable | Description |
|----------|-------------|
| `GEMINI_WEB_DATA_DIR` | Data directory |
| `GEMINI_WEB_COOKIE_PATH` | Cookie file path |
| `GEMINI_WEB_CHROME_PROFILE_DIR` | Chrome profile directory |
| `GEMINI_WEB_CHROME_PATH` | Chrome executable path |
## Proxy Configuration
If you need a proxy to access Google services (e.g., in China), set `HTTP_PROXY` and `HTTPS_PROXY` environment variables before running:
```bash
# Example with local proxy
HTTP_PROXY=http://127.0.0.1:7890 HTTPS_PROXY=http://127.0.0.1:7890 npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello"
# Image generation with proxy
HTTP_PROXY=http://127.0.0.1:7890 HTTPS_PROXY=http://127.0.0.1:7890 npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image cat.png
# Cookie refresh with proxy
HTTP_PROXY=http://127.0.0.1:7890 HTTPS_PROXY=http://127.0.0.1:7890 npx -y bun ${SKILL_DIR}/scripts/main.ts --login
```
**Note**: Environment variables must be set inline with the command. Shell profile settings (e.g., `.bashrc`) may not be inherited by subprocesses.
## Examples
### Generate text response
```bash
npx -y bun ${SKILL_DIR}/scripts/main.ts "What is the capital of France?"
```
### Generate image
```bash
npx -y bun ${SKILL_DIR}/scripts/main.ts "A photorealistic image of a golden retriever puppy" --image puppy.png
```
### Get JSON output for parsing
```bash
npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello" --json | jq '.text'
```
### Generate image from prompt files
```bash
# Concatenate system.md + content.md as prompt
npx -y bun ${SKILL_DIR}/scripts/main.ts --promptfiles system.md content.md --image output.png
```
### Multi-turn conversation
```bash
# Start a session with unique ID (agent generates this)
npx -y bun ${SKILL_DIR}/scripts/main.ts "You are a helpful math tutor." --sessionId task-abc123
# Continue the conversation (remembers context)
npx -y bun ${SKILL_DIR}/scripts/main.ts "What is 2+2?" --sessionId task-abc123
npx -y bun ${SKILL_DIR}/scripts/main.ts "Now multiply that by 10" --sessionId task-abc123
# List recent sessions (max 100, sorted by update time)
npx -y bun ${SKILL_DIR}/scripts/main.ts --list-sessions
```
Session files are stored in `~/Library/Application Support/baoyu-skills/gemini-web/sessions/<id>.json` and contain:
- `id`: Session ID
- `metadata`: Gemini chat metadata for continuation
- `messages`: Array of `{role, content, timestamp, error?}`
- `createdAt`, `updatedAt`: Timestamps
## Extension Support
Custom configurations via EXTEND.md.
**Check paths** (priority order):
1. `.baoyu-skills/baoyu-danger-gemini-web/EXTEND.md` (project)
2. `~/.baoyu-skills/baoyu-danger-gemini-web/EXTEND.md` (user)
If found, load before workflow. Extension content overrides defaults.