GLM-V Document-Based Writing Skill#

Comprehend the given document(s) and write a textual content (paper/article/essay/report/review/post/brief/proposal/plan) according to your requirements using the ZhiPu GLM-V multimodal model.

When to Use#

• Write a textual content according to specified requirements, AFTER reading provided document(s)
• User mentions "基于文档的写作", "文章撰写", "文档解读", "新闻稿撰写", "简报撰写", "影评/书评撰写", "内容总结", "内容创作", "评论写作", "文档续写", "文档翻译", "方案策划", "发言稿撰写", "document-based writing", "article writing", "document reading", "press release writing", "brief writing", "film/book review writing", "content summarization", "content creation", "commentary writing", "document continuation", "document translation", "proposal planning ", "speech writing"

Supported Input Types#

TypeFormatsMax CountSourceDocument (URL)pdf, docx50URLDocument (Local)pdf onlypages ≤ 50 totalLocal path

Local PDF / 本地 PDF: Local PDF files are converted page-by-page into images (base64) before sending to the model. PyMuPDF is required ( pip install PyMuPDF). URL files support full formats including pdf/docx/txt. 本地 PDF 会自动逐页转为图片（base64）传给模型，需要安装 PyMuPDF（ pip install PyMuPDF）。URL 文件支持 pdf/docx/txt 等全格式。

📋 Output Display Rules (MANDATORY)#

After running the script, you must display the complete content (Markdown format) exactly as returned. Do not summarize, truncate, translate, comment, or only say "Writing Completed!".

Resource Links#

ResourceLinkGet API Keyhttps://bigmodel.cn/usercenter/proj-mgmt/apikeysAPI DocsChat 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）：

1. OpenClaw config (recommended) / OpenClaw 配置（推荐）： Set in openclaw.json under skills.entries.glmv-doc-based-writing.env: json

   "glmv-doc-based-writing": { "enabled": true, "env": { "ZHIPU_API_KEY": "你的密钥" } }
   
   

2. Shell environment variable / Shell 环境变量： Add to ~/.zshrc: bash

   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-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#

Basic Screening#

bash

python scripts/doc_based_writing.py \
  --files "https://example.com/doucment1.pdf" "https://example.com/doucment2.docx" \
  --requirements "基于这篇论文撰写公众号文章，要求偏技术风格"

Save as Markdown#

bash

python scripts/doc_based_writing.py \
  --files "https://example.com/doucment1.pdf" "https://example.com/doucment2.docx" \
  --requirements "总结文档主要内容和核心观点" \
  --output result.md

Save as JSON#

bash

python scripts/doc_based_writing.py \
  --files "https://example.com/doucment1.pdf" "https://example.com/doucment2.docx" \
  --criteria "撰写新闻稿" \
  --output result.json --pretty

Custom System Prompt#

bash

python scripts/doc_based_writing.py \
  --files "https://example.com/doucment1.pdf" \
  --criteria "为这本书撰写书评" \
  --system-prompt "你是一位拥有20年跨领域写作经验的资深写作专家，擅长撰写书评"

Output Example#

The model outputs a Markdown content like this:

markdown

XXX

CLI Reference#

text

python scripts/doc_based_writing.py --files FILE [FILE...] --requirements REQUIREMENTS [OPTIONS]

ParameterRequiredDescription--files, -f✅Document file URLs (pdf/docx, URL only, max 50)--requirements, -c✅Writing requirements text--model, -mNoModel name (default: glm-4.6v)--system-prompt, -sNoCustom system prompt (default: professional HR assistant)--temperature, -tNoSampling temperature 0-1 (default: 0.6)--max-tokensNoMax output tokens (default: 10000)--output, -oNoSave result to file ( .md for markdown, .json for JSON)--prettyNoPretty-print JSON output

Error Handling#

API key not configured: → Guide user to configure ZHIPU_API_KEY

Authentication failed (401/403): → API key invalid/expired → reconfigure

Rate limit (429): → Quota exhausted → wait and retry

Local path provided: → Error: only URLs supported

Content filtered: → warning field present → content blocked by safety review

Timeout: → Documents too large or too many → reduce file count