Gemini Web Client

SkillMedia

This skill lets your AI create images and write text using Gemini. It can turn a written prompt into a picture, work from reference images you supply, and keep track of multi-turn conversations. Other skills can also call on it whenever they need image generation.

Available today. Use it from your connected AI after setup.

After adding it, ask your AI to generate an image with Gemini and describe what you want. You can also attach a reference image for the result to be based on.

Then ask your AI: use the Gemini Web Client skill

What your AI can do with it

  • Generate images from a written prompt
  • Produce text on demand
  • Use reference images you provide as vision input
  • Carry on multi-turn conversations that build on earlier messages
  • Act as the image generation backend for other skills

What this skill tells your AI

The instructions your AI receives, as published by ecnu-icalk/autoskill in SkillBank/Common/baoyu-skills/baoyu-danger-gemini-web/SKILL.md and read by ahel’s review.

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

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:

ScriptPurpose
scripts/main.tsCLI entry point for text/image generation
scripts/gemini-webapi/*TypeScript port of gemini_webapi (GeminiClient, types, utils)

Consent Check (REQUIRED)

Before first use, verify user consent for reverse-engineered API usage.

Consent file locations:

  • macOS: ~/Library/Application Support/baoyu-skills/gemini-web/consent.json
  • Linux: ~/.local/share/baoyu-skills/gemini-web/consent.json
  • Windows: %APPDATA%\baoyu-skills\gemini-web\consent.json

Flow:

  1. Check if consent file exists with accepted: true and disclaimerVersion: "1.0"
  2. If valid consent exists → print warning with acceptedAt date, proceed
  3. If no consent → show disclaimer, ask user via AskUserQuestion:
    • "Yes, I accept" → create consent file with ISO timestamp, proceed
    • "No, I decline" → output decline message, stop
  4. Consent file format: {"version":1,"accepted":true,"acceptedAt":"<ISO>","disclaimerVersion":"1.0"}

Preferences (EXTEND.md)

Use Bash to check EXTEND.md existence (priority order):

# Check project-level first
test -f .baoyu-skills/baoyu-danger-gemini-web/EXTEND.md && echo "project"

# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.baoyu-skills/baoyu-danger-gemini-web/EXTEND.md" && echo "user"

┌──────────────────────────────────────────────────────────┬───────────────────┐ │ Path │ Location │ ├──────────────────────────────────────────────────────────┼───────────────────┤ │ .baoyu-skills/baoyu-danger-gemini-web/EXTEND.md │ Project directory │ ├──────────────────────────────────────────────────────────┼───────────────────┤ │ $HOME/.baoyu-skills/baoyu-danger-gemini-web/EXTEND.md │ User home │ └──────────────────────────────────────────────────────────┴───────────────────┘

┌───────────┬───────────────────────────────────────────────────────────────────────────┐ │ Result │ Action │ ├───────────┼───────────────────────────────────────────────────────────────────────────┤ │ Found │ Read, parse, apply settings │ ├───────────┼───────────────────────────────────────────────────────────────────────────┤ │ Not found │ Use defaults │ └───────────┴───────────────────────────────────────────────────────────────────────────┘

EXTEND.md Supports: Default model | Proxy settings | Custom data directory

Usage

# Text generation
npx -y bun ${SKILL_DIR}/scripts/main.ts "Your prompt"
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Your prompt" --model gemini-2.5-pro

# Image generation
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

# Vision input (reference images)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Describe this" --reference image.png
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Create variation" --reference a.png --image out.png

# Multi-turn conversation
npx -y bun ${SKILL_DIR}/scripts/main.ts "Remember: 42" --sessionId session-abc
npx -y bun ${SKILL_DIR}/scripts/main.ts "What number?" --sessionId session-abc

# JSON output
npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello" --json

Options

OptionDescription
--prompt, -pPrompt text
--promptfilesRead prompt from files (concatenated)
--model, -mModel: gemini-3-pro (default), gemini-2.5-pro, gemini-2.5-flash
--image [path]Generate image (default: generated.png)
--reference, --refReference images for vision input
--sessionIdSession ID for multi-turn conversation
--list-sessionsList saved sessions
--jsonOutput as JSON
--loginRefresh cookies, then exit
--cookie-pathCustom cookie file path
--profile-dirChrome profile directory

Models

ModelDescription
gemini-3-proDefault, latest
gemini-2.5-proPrevious pro
gemini-2.5-flashFast, lightweight

Authentication

First run opens browser for Google auth. Cookies cached automatically.

Supported browsers (auto-detected): Chrome, Chrome Canary/Beta, Chromium, Edge.

Force refresh: --login flag. Override browser: GEMINI_WEB_CHROME_PATH env var.

Environment Variables

VariableDescription
GEMINI_WEB_DATA_DIRData directory
GEMINI_WEB_COOKIE_PATHCookie file path
GEMINI_WEB_CHROME_PROFILE_DIRChrome profile directory
GEMINI_WEB_CHROME_PATHChrome executable path
HTTP_PROXY, HTTPS_PROXYProxy for Google access (set inline with command)

Sessions

Session files stored in data directory under sessions/<id>.json.

Contains: id, metadata (Gemini chat state), messages array, timestamps.

Extension Support

Custom configurations via EXTEND.md. See Preferences section for paths and supported options.

Signals

GitHub stars
581
Forks
56
Last commit
May 2026
Advanced
Catalog kind
skill
Gateway key
baoyu-danger-gemini-web
Source
github.com/ecnu-icalk/autoskill