Complete collection of AI agent skills including: - Frontend Development (Vue, React, Next.js, Three.js) - Backend Development (NestJS, FastAPI, Node.js) - Mobile Development (React Native, Expo) - Testing (E2E, frontend, webapp) - DevOps (GitHub Actions, CI/CD) - Marketing (SEO, copywriting, analytics) - Security (binary analysis, vulnerability scanning) - And many more... Synchronized from: https://skills.sh/ Co-Authored-By: Claude <noreply@anthropic.com>
293 lines
8.8 KiB
Markdown
293 lines
8.8 KiB
Markdown
---
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name: baoyu-danger-gemini-web
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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.
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---
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# Gemini Web Client
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Supports:
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- Text generation
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- Image generation (download + save)
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- Reference images for vision input (attach local images)
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- Multi-turn conversations via persisted `--sessionId`
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## Script Directory
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**Important**: All scripts are located in the `scripts/` subdirectory of this skill.
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**Agent Execution Instructions**:
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1. Determine this SKILL.md file's directory path as `SKILL_DIR`
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2. Script path = `${SKILL_DIR}/scripts/<script-name>.ts`
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3. Replace all `${SKILL_DIR}` in this document with the actual path
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**Script Reference**:
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| Script | Purpose |
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|--------|---------|
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| `scripts/main.ts` | CLI entry point for text/image generation |
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| `scripts/gemini-webapi/*` | TypeScript port of `gemini_webapi` (GeminiClient, types, utils) |
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## ⚠️ Disclaimer (REQUIRED)
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**Before using this skill**, the consent check MUST be performed.
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### Consent Check Flow
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**Step 1**: Check consent file
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```bash
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# macOS
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cat ~/Library/Application\ Support/baoyu-skills/gemini-web/consent.json 2>/dev/null
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# Linux
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cat ~/.local/share/baoyu-skills/gemini-web/consent.json 2>/dev/null
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# Windows (PowerShell)
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Get-Content "$env:APPDATA\baoyu-skills\gemini-web\consent.json" 2>$null
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```
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**Step 2**: If consent exists and `accepted: true` with matching `disclaimerVersion: "1.0"`:
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Print warning and proceed:
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```
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⚠️ Warning: Using reverse-engineered Gemini Web API (not official). Accepted on: <acceptedAt date>
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```
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**Step 3**: If consent file doesn't exist or `disclaimerVersion` mismatch:
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Display disclaimer and ask user:
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```
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⚠️ DISCLAIMER
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This tool uses a reverse-engineered Gemini Web API, NOT an official Google API.
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Risks:
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- May break without notice if Google changes their API
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- No official support or guarantees
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- Use at your own risk
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Do you accept these terms and wish to continue?
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```
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Use `AskUserQuestion` tool with options:
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- **Yes, I accept** - Continue and save consent
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- **No, I decline** - Exit immediately
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**Step 4**: On acceptance, create consent file:
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```bash
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# macOS
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mkdir -p ~/Library/Application\ Support/baoyu-skills/gemini-web
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cat > ~/Library/Application\ Support/baoyu-skills/gemini-web/consent.json << 'EOF'
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{
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"version": 1,
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"accepted": true,
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"acceptedAt": "<ISO timestamp>",
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"disclaimerVersion": "1.0"
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}
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EOF
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# Linux
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mkdir -p ~/.local/share/baoyu-skills/gemini-web
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cat > ~/.local/share/baoyu-skills/gemini-web/consent.json << 'EOF'
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{
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"version": 1,
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"accepted": true,
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"acceptedAt": "<ISO timestamp>",
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"disclaimerVersion": "1.0"
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}
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EOF
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```
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**Step 5**: On decline, output message and stop:
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```
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User declined the disclaimer. Exiting.
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```
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---
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## Quick start
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```bash
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npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello, Gemini"
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npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Explain quantum computing"
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npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cute cat" --image cat.png
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npx -y bun ${SKILL_DIR}/scripts/main.ts --promptfiles system.md content.md --image out.png
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# Multi-turn conversation (agent generates unique sessionId)
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npx -y bun ${SKILL_DIR}/scripts/main.ts "Remember this: 42" --sessionId my-unique-id-123
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npx -y bun ${SKILL_DIR}/scripts/main.ts "What number?" --sessionId my-unique-id-123
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```
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## Commands
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### Text generation
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```bash
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# Simple prompt (positional)
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npx -y bun ${SKILL_DIR}/scripts/main.ts "Your prompt here"
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# Explicit prompt flag
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npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Your prompt here"
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npx -y bun ${SKILL_DIR}/scripts/main.ts -p "Your prompt here"
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# With model selection
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npx -y bun ${SKILL_DIR}/scripts/main.ts -p "Hello" -m gemini-2.5-pro
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# Pipe from stdin
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echo "Summarize this" | npx -y bun ${SKILL_DIR}/scripts/main.ts
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```
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### Image generation
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```bash
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# Generate image with default path (./generated.png)
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npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A sunset over mountains" --image
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# Generate image with custom path
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npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cute robot" --image robot.png
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# Shorthand
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npx -y bun ${SKILL_DIR}/scripts/main.ts "A dragon" --image=dragon.png
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```
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### Vision input (reference images)
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```bash
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# Text + image -> text
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npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Describe this image" --reference a.png
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# Text + image -> image
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npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Generate a variation" --reference a.png --image out.png
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```
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### Output formats
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```bash
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# Plain text (default)
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npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello"
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# JSON output
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npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello" --json
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```
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## Options
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| Option | Description |
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|--------|-------------|
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| `--prompt <text>`, `-p` | Prompt text |
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| `--promptfiles <files...>` | Read prompt from files (concatenated in order) |
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| `--model <id>`, `-m` | Model: gemini-3-pro (default), gemini-2.5-pro, gemini-2.5-flash |
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| `--image [path]` | Generate image, save to path (default: generated.png) |
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| `--reference <files...>`, `--ref <files...>` | Reference images for vision input |
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| `--sessionId <id>` | Session ID for multi-turn conversation (agent generates unique ID) |
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| `--list-sessions` | List saved sessions (max 100, sorted by update time) |
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| `--json` | Output as JSON |
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| `--login` | Refresh cookies only, then exit |
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| `--cookie-path <path>` | Custom cookie file path |
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| `--profile-dir <path>` | Chrome profile directory |
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| `--help`, `-h` | Show help |
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CLI note: `scripts/main.ts` supports text generation, image generation, reference images (`--reference/--ref`), and multi-turn conversations via `--sessionId`.
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## Models
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- `gemini-3-pro` - Default, latest model
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- `gemini-2.5-pro` - Previous generation pro
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- `gemini-2.5-flash` - Fast, lightweight
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## Authentication
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First run opens a browser to authenticate with Google. Cookies are cached for subsequent runs.
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**Supported browsers** (auto-detected in order):
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- Google Chrome
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- Google Chrome Canary / Beta
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- Chromium
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- Microsoft Edge
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Override with `GEMINI_WEB_CHROME_PATH` environment variable if needed.
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```bash
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# Force cookie refresh
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npx -y bun ${SKILL_DIR}/scripts/main.ts --login
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```
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## Environment variables
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| Variable | Description |
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|----------|-------------|
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| `GEMINI_WEB_DATA_DIR` | Data directory |
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| `GEMINI_WEB_COOKIE_PATH` | Cookie file path |
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| `GEMINI_WEB_CHROME_PROFILE_DIR` | Chrome profile directory |
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| `GEMINI_WEB_CHROME_PATH` | Chrome executable path |
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## Proxy Configuration
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If you need a proxy to access Google services (e.g., in China), set `HTTP_PROXY` and `HTTPS_PROXY` environment variables before running:
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```bash
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# Example with local proxy
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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"
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# Image generation with proxy
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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
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# Cookie refresh with proxy
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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
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```
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**Note**: Environment variables must be set inline with the command. Shell profile settings (e.g., `.bashrc`) may not be inherited by subprocesses.
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## Examples
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### Generate text response
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```bash
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npx -y bun ${SKILL_DIR}/scripts/main.ts "What is the capital of France?"
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```
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### Generate image
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```bash
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npx -y bun ${SKILL_DIR}/scripts/main.ts "A photorealistic image of a golden retriever puppy" --image puppy.png
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```
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### Get JSON output for parsing
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```bash
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npx -y bun ${SKILL_DIR}/scripts/main.ts "Hello" --json | jq '.text'
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```
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### Generate image from prompt files
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```bash
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# Concatenate system.md + content.md as prompt
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npx -y bun ${SKILL_DIR}/scripts/main.ts --promptfiles system.md content.md --image output.png
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```
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### Multi-turn conversation
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```bash
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# Start a session with unique ID (agent generates this)
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npx -y bun ${SKILL_DIR}/scripts/main.ts "You are a helpful math tutor." --sessionId task-abc123
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# Continue the conversation (remembers context)
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npx -y bun ${SKILL_DIR}/scripts/main.ts "What is 2+2?" --sessionId task-abc123
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npx -y bun ${SKILL_DIR}/scripts/main.ts "Now multiply that by 10" --sessionId task-abc123
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# List recent sessions (max 100, sorted by update time)
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npx -y bun ${SKILL_DIR}/scripts/main.ts --list-sessions
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```
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Session files are stored in `~/Library/Application Support/baoyu-skills/gemini-web/sessions/<id>.json` and contain:
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- `id`: Session ID
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- `metadata`: Gemini chat metadata for continuation
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- `messages`: Array of `{role, content, timestamp, error?}`
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- `createdAt`, `updatedAt`: Timestamps
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## Extension Support
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Custom configurations via EXTEND.md.
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**Check paths** (priority order):
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1. `.baoyu-skills/baoyu-danger-gemini-web/EXTEND.md` (project)
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2. `~/.baoyu-skills/baoyu-danger-gemini-web/EXTEND.md` (user)
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If found, load before workflow. Extension content overrides defaults.
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