release-skills
Universal release workflow. Auto-detects version files and changelogs. Supports Node.js, Python, Rust, Claude Plugin, and generic…
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
$ npx -y skills add freestylefly/canghe-skills --skill canghe-danger-gemini-web --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/canghe-danger-gemini-webContext 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
name: canghe-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.
Text/image generation via Gemini Web API. Supports reference images and multi-turn conversations.
**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) |
Before first use, verify user consent for reverse-engineered API usage.
**Consent file locations**:
**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`:
4. Consent file format: `{"version":1,"accepted":true,"acceptedAt":"<ISO>","disclaimerVersion":"1.0"}`
---
Use Bash to check EXTEND.md existence (priority order):
# Check project-level first test -f .canghe-skills/canghe-danger-gemini-web/EXTEND.md && echo "project" # Then user-level (cross-platform: $HOME works on macOS/Linux/WSL) test -f "$HOME/.canghe-skills/canghe-danger-gemini-web/EXTEND.md" && echo "user"
┌──────────────────────────────────────────────────────────┬───────────────────┐ │ Path │ Location │ ├──────────────────────────────────────────────────────────┼───────────────────┤ │ .canghe-skills/canghe-danger-gemini-web/EXTEND.md │ Project directory │ ├──────────────────────────────────────────────────────────┼───────────────────┤ │ $HOME/.canghe-skills/canghe-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
# 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| Option | Description | |--------|-------------| | `--prompt`, `-p` | Prompt text | | `--promptfiles` | Read prompt from files (concatenated) | | `--model`, `-m` | Model: gemini-3-pro (default), gemini-2.5-pro, gemini-2.5-flash | | `--image [path]` | Generate image (default: generated.png) | | `--reference`, `--ref` | Reference images for vision input | | `--sessionId` | Session ID for multi-turn conversation | | `--list-sessions` | List saved sessions | | `--json` | Output as JSON | | `--login` | Refresh cookies, then exit | | `--cookie-path` | Custom cookie file path | | `--profile-dir` | Chrome profile directory |
| Model | Description | |-------|-------------| | `gemini-3-pro` | Default, latest | | `gemini-2.5-pro` | Previous pro | | `gemini-2.5-flash` | Fast, lightweight |
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.
| 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 | | `HTTP_PROXY`, `HTTPS_PROXY` | Proxy for Google access (set inline with command) |
Session files stored in data directory under `sessions/<id>.json`.
Contains: `id`, `metadata` (Gemini chat state), `messages` array, timestamps.
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