Agent-Skills.md

Agent Skills: Gemini Web Client

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.

UncategorizedID: questnova502/claude-skills-sync/baoyu-danger-gemini-web

Repository

questnova502/claude-skills-sync
QuestNova502
34

Install this agent skill to your local

pnpm dlx add-skill https://github.com/QuestNova502/claude-skills-sync/tree/HEAD/skills/baoyu-danger-gemini-web

Skill Files

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skills/baoyu-danger-gemini-web/SKILL.md

Skill Metadata

Name
baoyu-danger-gemini-web
Description
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.

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

# 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:

# 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

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

# 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

# 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)

# 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

# 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.

# 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:

# 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

npx -y bun ${SKILL_DIR}/scripts/main.ts "What is the capital of France?"

Generate image

npx -y bun ${SKILL_DIR}/scripts/main.ts "A photorealistic image of a golden retriever puppy" --image puppy.png

Get JSON output for parsing

npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello" --json | jq '.text'

Generate image from prompt files

# 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

# 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.

Gemini Web Client Skill | Agent Skills