glmv-prompt-gen
Analyze images/videos and generate professional prompts for text-to-image and text-to-video AI tools (Midjourney, Stable Diffusion, DALL-E, Sora, Runway, Kling, Pika). Use when the user wants to generate prompts from reference images/videos, create AI art prompts, or get prompt engineering suggestions from visual content.
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Install
Works with every agent the skills CLI supports.
npx skills add https://modelscope.cn --skill glmv-prompt-gen- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads glmv-prompt-gen automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
GLM-V Prompt Generation Skill
Analyze reference images or videos and generate professional prompts for AI image/video generation tools.
When to Use
- Generate prompts for text-to-image tools (Midjourney, Stable Diffusion, DALL-E, etc.)
- Generate prompts for text-to-video tools (Sora, Runway, Kling, Pika, etc.)
- User mentions "生成prompt", "文生图prompt", "文生视频prompt", "prompt工程", "参考图生成prompt", "generate prompt"
- User provides an image/video and wants to recreate or remix it
- Extract prompt ideas from reference visual content
Supported Input Types
| Type | Formats | Max Size | Max Count | Base64 |
|---|---|---|---|---|
| Image | jpg, png, jpeg | 5MB / 6000×6000px | 50 | ✅ |
| Video | mp4, mkv, mov | 200MB | — | ❌ (URL only) |
⚠️ Images and videos cannot be used in the same request. ⚠️ Videos only support URLs — local paths and base64 are NOT supported.
📋 Output Display Rules (MANDATORY)
After running the script, you must display the full prompt output exactly as returned. Do not summarize, truncate, or only say "prompt generated". Users need the complete prompt (especially the English prompt) for direct copy/paste.
- Show the full output: content analysis + prompt + prompt breakdown
- In
automode, show both text-to-image and text-to-video prompts - English prompts are core output and must be shown completely
- If output was saved (
-o), provide the file path and show file content
Output Modes
| Mode | Description |
|---|---|
image | Generate prompts for text-to-image tools (default) |
video | Generate prompts for text-to-video tools |
auto | Generate prompts for both image and video |
Resource Links
| Resource | Link |
|---|---|
| Get API Key | https://bigmodel.cn/usercenter/proj-mgmt/apikeys |
| API Docs | Chat Completions / 对话补全 |
Prerequisites
API Key Setup / API Key 配置（Required / 必需）
This script reads the key from the ZHIPU_API_KEY environment variable and shares it with other Zhipu skills.
脚本通过 ZHIPU_API_KEY 环境变量获取密钥，与其他智谱技能共用同一个 key。
Get Key / 获取 Key： Visit Zhipu Open Platform API Keys / 智谱开放平台 API Keys to create or copy your key.
Setup options / 配置方式（任选一种）：
-
OpenClaw config (recommended) / OpenClaw 配置（推荐）： Set in
openclaw.jsonunderskills.entries.glmv-prompt-gen.env:"glmv-prompt-gen": { "enabled": true, "env": { "ZHIPU_API_KEY": "你的密钥" } } -
Shell environment variable / Shell 环境变量： Add to
~/.zshrc:export ZHIPU_API_KEY="你的密钥"
💡 If you already configured another Zhipu skill (for example
zhipu-toolsorglmv-caption), they share the sameZHIPU_API_KEY, so no extra setup is needed. 💡 如果你已为其他智谱 skill（如zhipu-tools、glmv-caption）配置过 key，它们共享同一个ZHIPU_API_KEY，无需重复配置。
How to Use
Image → Text-to-Image Prompt
python scripts/prompt_gen.py --images "https://example.com/photo.jpg"
python scripts/prompt_gen.py --images /path/to/photo.png
Image → Text-to-Video Prompt
python scripts/prompt_gen.py --images "https://example.com/scene.jpg" --mode video
Image → Both (Image + Video Prompts)
python scripts/prompt_gen.py --images "https://example.com/photo.jpg" --mode auto
Video → Text-to-Video Prompt
python scripts/prompt_gen.py --videos "https://example.com/clip.mp4" --mode video
Save Result to File
python scripts/prompt_gen.py --images photo.jpg --mode image -o prompt.md
Custom Model
python scripts/prompt_gen.py --images photo.jpg --model glm-4.6v-flash
Output Example (image mode)
### Content Analysis
A cyberpunk cityscape at night, with dense skyscrapers, glowing neon signs, and rain-wet streets reflecting colorful light.
### Prompt
Cyberpunk cityscape at night, towering skyscrapers with glowing neon signs,
rain-wet streets reflecting colorful lights, flying cars in the distance,
volumetric fog, dramatic lighting, ultra detailed, 8K, cinematic composition
### Prompt Breakdown
- **Subject**: Futuristic skyline with skyscrapers and neon lights
- **Style**: Cyberpunk, sci-fi
- **Color**: Cool/warm contrast with blue-purple dominance and neon accents
- **Lighting**: Neon glow, wet-surface reflections, volumetric fog
- **Composition**: Wide-angle perspective with layered depth
- **Mood**: Mysterious, futuristic, high-tech
CLI Reference
python scripts/prompt_gen.py (--images IMG [IMG...] | --videos VID [VID...]) [OPTIONS]
| Parameter | Required | Description |
|---|---|---|
--images, -i | One of | Image paths or URLs (jpg/png/jpeg, base64 OK) |
--videos, -v | One of | Video URLs (mp4/mkv/mov, URL only) |
--mode, -m | No | Output mode: image (default), video, or auto |
--model | No | Model name (default: glm-4.6v) |
--temperature, -t | No | Sampling temperature 0-1 (default: 0.6) |
--max-tokens | No | Max output tokens (default: 2048) |
--thinking | No | Enable thinking/reasoning mode |
--stream | No | Enable streaming output |
--output, -o | No | Save result to file |
--pretty | No | Pretty-print JSON error output |
Error Handling
API key not configured: → Guide user to configure ZHIPU_API_KEY
Authentication failed (401/403): → API key invalid/expired → check at Zhipu API Keys / 智谱官网
Rate limit (429): → Quota exhausted → wait and retry
Content filtered: → warning field present → content blocked by safety review
Timeout: → Video processing may take time → increase timeout or use smaller files
FAQ
What does the glmv-prompt-gen skill do?
Analyze images/videos and generate professional prompts for text-to-image and text-to-video AI tools (Midjourney, Stable Diffusion, DALL-E, Sora, Runway, Kling, Pika). Use when the user wants to generate prompts from reference images/videos, create AI art prompts, or get prompt engineering suggestions from visual content.
How do I install glmv-prompt-gen?
Run npx skills add https://modelscope.cn --skill glmv-prompt-gen in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/glmv-prompt-gen/ (personal) or .claude/skills/glmv-prompt-gen/ (project).
Which AI agents can use glmv-prompt-gen?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is glmv-prompt-gen safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains glmv-prompt-gen?
It is published by modelscope.cn in modelscope.cn. It has 310 recorded installs.
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