
Glm Master Skill
- 261 installs
- modelscope.cn
Configure and prompt Zhipu GLM models correctly for chat, tool use, structured output, and agent workflows inside Claude Code or custom automations.
About
Central reference for Zhipu GLM in agent projects: endpoint usage, model variants, prompting conventions, streaming, structured outputs, and operational guardrails so builders ship dependable LLM features faster.
- GLM model family selection and limits
- Prompting for tools, JSON, and long context
- API auth, streaming, and rate-limit handling
- Multimodal and reasoning mode guidance
- Failure recovery and fallback model strategy
Glm Master Skill by the numbers
- 261 all-time installs (skills.sh)
- +12 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #2,499 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
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| Installs | 261 |
|---|---|
| Repository | modelscope.cn ↗ |
What it does
Configure and prompt Zhipu GLM models correctly for chat, tool use, structured output, and agent workflows inside Claude Code or custom automations.
Files
GLM Master Skill (Guide Only) / GLM 技能总览(仅指南)
This is a documentation-only master skill.
- ✅ It introduces available GLM skills.
- ✅ It provides official install links and commands.
- ❌ It does not run any local scripts.
- ❌ It does not use subprocess.
本 Skill 只做导航与安装说明,不执行任何本地脚本。
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Official Skills Catalog / 官方技能目录
GLM-OCR
| Skill | Purpose | Link |
|---|---|---|
glmocr | General OCR (text extraction) | https://github.com/zai-org/GLM-skills/tree/main/skills/glmocr |
glmocr-table | Table extraction | https://github.com/zai-org/GLM-skills/tree/main/skills/glmocr-table |
glmocr-formula | Formula extraction | https://github.com/zai-org/GLM-skills/tree/main/skills/glmocr-formula |
glmocr-handwriting | Handwriting OCR | https://github.com/zai-org/GLM-skills/tree/main/skills/glmocr-handwriting |
glmocr-sdk | GLM-OCR SDK guidance | https://github.com/zai-org/GLM-skills/tree/main/skills/glmocr-sdk |
GLM-Image
| Skill | Purpose | Link |
|---|---|---|
glm-image-gen | Text-to-image generation | https://github.com/zai-org/GLM-skills/tree/main/skills/glm-image-gen |
GLM-V
| Skill | Purpose | Link |
|---|---|---|
glmv-caption | Image/video/file captioning | https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-caption |
glmv-prompt-gen | Prompt generation from visual input | https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-prompt-gen |
glmv-resume-screen | Resume screening | https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-resume-screen |
glmv-grounding | Image/video target localization & bounding-box visualization | https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-grounding |
glmv-doc-based-writing | Document-based content generation (PDF/DOCX) | https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-doc-based-writing |
glmv-pdf-to-ppt | PDF to HTML presentation conversion | https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-pdf-to-ppt |
glmv-pdf-to-web | PDF to academic project website conversion | https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-pdf-to-web |
glmv-prd-to-app | Build full-stack web app from PRD documents & prototypes | https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-prd-to-app |
glmv-stock-analyst | Multi-source stock analysis and report generation | https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-stock-analyst |
glmv-web-replication | Frontend visual replication of public websites | https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-web-replication |
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Installation Methods / 安装方式
Method A: Install from Clawhub (Recommended first)
npx clawhub@latest install <skill-name>Example:
npx clawhub@latest install glmocr
npx clawhub@latest install glmv-caption
npx clawhub@latest install glm-image-genYou can also install multiple skills at once:
npx clawhub@latest install glmocr glmocr-table glmocr-formula glmocr-handwriting glmocr-sdk glm-image-gen glmv-caption glmv-prompt-gen glmv-resume-screen glmv-grounding glmv-doc-based-writing glmv-pdf-to-ppt glmv-pdf-to-web glmv-prd-to-app glmv-stock-analyst glmv-web-replicationMethod B: If Clawhub is rate-limited
You may see errors like:
✖ Rate limit exceeded (retry in 47s, remaining: 0/20, reset in 47s)Use one of the following:
1. Wait and retry after reset time. 2. Install from the official GitHub skill directory directly.
你可能会遇到 Clawhub 频率限制;可等待重试,或改用 GitHub 源安装。
Method C: Install from GitHub source
Use each skill's official path (see catalog above).
General idea:
git clone https://github.com/zai-org/GLM-skills.gitThen follow that skill's own SKILL.md for exact setup steps.
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API Key Setup (required by most downstream skills)
Most GLM skills require the environment variable ZHIPU_API_KEY. This master skill itself does not read or use the key, but downstream skills will.
Security best practices:
>
- Create a limited-scope API key with only the permissions needed for the skills you plan to use.
- Store the key in environment variables only — never hardcode it in source files or commit it to version control.
- AddZHIPU_API_KEYto your.gitignoreif storing it in a.envfile.
- Rotate the key periodically and revoke unused keys at https://bigmodel.cn/usercenter/proj-mgmt/apikeys.
Get API key: https://bigmodel.cn/usercenter/proj-mgmt/apikeys
Set in shell:
export ZHIPU_API_KEY="your_key"或者写入环境配置文件(如 ~/.zshrc)以长期生效,但请确保该文件不会被提交到版本控制系统。
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How an Agent should use this Master Skill
When user asks for GLM OCR / GLM Image / GLM-V capabilities:
1. Match user intent to one or more skills in the catalog. 2. Recommend installation via npx clawhub@latest install <skill-name> first. 3. If rate-limited, tell user to retry later or use GitHub skill source. 4. Open the selected skill's official SKILL.md and follow its instructions.
当用户提出具体任务时,Agent 按上述流程引导安装并跳转到对应技能文档。
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Resource Links
- GLM-5: https://github.com/zai-org/GLM-5
- GLM-OCR: https://github.com/zai-org/GLM-OCR
- GLM-Image: https://github.com/zai-org/GLM-Image
- GLM-V: https://github.com/zai-org/GLM-V
- API Docs: https://docs.bigmodel.cn/
- API Key: https://bigmodel.cn/usercenter/proj-mgmt/apikeys
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Why this design / 设计原因
Some skill-sharing platforms may flag subprocess execution as high risk during review.
To keep this master skill safe and easy to pass review:
1. No helper .py installer. 2. No local command execution logic. 3. Only official links + clear installation instructions.
由于 subprocess 在审核中可能被视为高风险,这里采用“纯文档”方式。
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Security Note
This master skill intentionally avoids executable helper scripts. It is designed for safer sharing/review in public skill marketplaces.
本 Skill 刻意不包含可执行安装脚本,以降低审核风险。