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glmv-prompt-genglmv 提示生成

Agent Skill

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。它适合让 Agent 规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤、权限边界和失败处理方式。

总安装

12,878

周安装

542

GitHub Stars

1

下载量

4,509
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:glmv-prompt-gen(glmv 提示生成)
来源仓库:https://github.com/jaredforreal/glmv-prompt-gen
安装命令:
openclaw skills install glmv-prompt-gen
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install glmv-prompt-gen

简介

分析图像/视频并为 AI 生成工具(如 Midjourney、Stable Diffusion)创建提示词。

  • 适用于创意内容生成、AI 素材制作与自动化脚本开发场景。
  • 通过 clawhub 安装,需确认图像解析与外部 API 调用权限。
  • 支持多平台提示词适配,提升生成结果一致性。
  • 建议使用时应明确版权与内容审核边界。

SKILL.md

name
glmv-prompt-gen
description
metadata
openclaw
requires
env
primaryEnv
ZHIPU_API_KEY
emoji
homepage
https://github.com/zai-org/GLM-V/tree/main/skills/glmv-prompt-gen

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

TypeFormatsMax SizeMax CountBase64
Imagejpg, png, jpeg5MB / 6000×6000px50
Videomp4, mkv, mov200MB❌ (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 auto mode, 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

ModeDescription
imageGenerate prompts for text-to-image tools (default)
videoGenerate prompts for text-to-video tools
autoGenerate prompts for both image and video

Resource Links

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):

  1. OpenClaw config (recommended) / OpenClaw 配置(推荐): Set in openclaw.json under skills.entries.glmv-prompt-gen.env:
   "glmv-prompt-gen": { "enabled": true, "env": { "ZHIPU_API_KEY": "你的密钥" } }
  1. 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-tools or glmv-caption), they share the same ZHIPU_API_KEY, so no extra setup is needed. 💡 如果你已为其他智谱 skill(如 zhipu-toolsglmv-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]
ParameterRequiredDescription
--images, -iOne ofImage paths or URLs (jpg/png/jpeg, base64 OK)
--videos, -vOne ofVideo URLs (mp4/mkv/mov, URL only)
--mode, -mNoOutput mode: image (default), video, or auto
--modelNoModel name (default: glm-4.6v)
--temperature, -tNoSampling temperature 0-1 (default: 0.6)
--max-tokensNoMax output tokens (default: 2048)
--thinkingNoEnable thinking/reasoning mode
--streamNoEnable streaming output
--output, -oNoSave result to file
--prettyNoPretty-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

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

71.48%
按下载量换算3,223

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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