Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
Screen and evaluate resumes against criteria using ZhiPu GLM-V multimodal model.
Install Glmv Resume Screen
$ npx skills add zai-org/GLM-skills --skill glmv-resume-screen -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zai-org/GLM-skills glmv-resume-screen --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/zai-org/GLM-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/glmv-resume-screen .claude/skills/glmv-resume-screen && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "glmv-resume-screen" agent skill from https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-resume-screen into .claude/skills/glmv-resume-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glmv-resume-screen", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-resume-screenType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zai-org/GLM-skills --skill glmv-resume-screen -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zai-org/GLM-skills glmv-resume-screen --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zai-org/GLM-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/glmv-resume-screen .agents/skills/glmv-resume-screen && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "glmv-resume-screen" agent skill from https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-resume-screen into .agents/skills/glmv-resume-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glmv-resume-screen", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zai-org/GLM-skills --skill glmv-resume-screen -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zai-org/GLM-skills glmv-resume-screen --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zai-org/GLM-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/glmv-resume-screen .cursor/skills/glmv-resume-screen && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "glmv-resume-screen" agent skill from https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-resume-screen into .cursor/skills/glmv-resume-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glmv-resume-screen", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zai-org/GLM-skills.git --path skills/glmv-resume-screen--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zai-org/GLM-skills --skill glmv-resume-screen -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zai-org/GLM-skills glmv-resume-screen --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zai-org/GLM-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/glmv-resume-screen .gemini/skills/glmv-resume-screen && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "glmv-resume-screen" agent skill from https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-resume-screen into .gemini/skills/glmv-resume-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glmv-resume-screen", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zai-org/GLM-skills glmv-resume-screenInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zai-org/GLM-skills --skill glmv-resume-screen -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zai-org/GLM-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/glmv-resume-screen .github/skills/glmv-resume-screen && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "glmv-resume-screen" agent skill from https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-resume-screen into .github/skills/glmv-resume-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glmv-resume-screen", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zai-org/GLM-skills --skill glmv-resume-screen -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zai-org/GLM-skills glmv-resume-screen --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zai-org/GLM-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/glmv-resume-screen .opencode/skills/glmv-resume-screen && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "glmv-resume-screen" agent skill from https://github.com/zai-org/GLM-skills/tree/main/skills/glmv-resume-screen into .opencode/skills/glmv-resume-screen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glmv-resume-screen", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
glmv-resume-screen- GitHub stars
- 476
- Token cost
- ~1.6k tokens
- SKILL.md length
- 436 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 16
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Screen and evaluate resumes against criteria using ZhiPu GLM-V multimodal model.
- Works in 2 steps: OpenClaw config (recommended) / OpenClaw… → Shell environment variable / Shell 环境变量：…
- The user wants to filter resumes
- SKILL.md covers When to Use, Supported Input Types, Resource Links and Prerequisites, plus 4 more sections
- Runs Python scripts from its folder; calls python and pip; needs ZHIPU_API_KEY
What it does
Glmv Resume Screen is an agent skill from zai-org/GLM-skills. Screen and evaluate resumes against criteria using ZhiPu GLM-V multimodal model. Reads multiple resume files (PDF/DOCX/TXT), compares against user-defined screening criteria, and outputs a Markdown table with pass/fail analysis. Use when the user wants to filter resumes, compare candidates, or batch-evaluate job applications.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/resume_screen.py`).
It sits in Documents & Office, covering Word documents, Job search and resumes and PDF. It works with Zhipu GLM and Microsoft Word. The repository describes itself as: Official skills for the GLM family of models. The licence is Apache-2.0.
When your agent uses it
- The user wants to filter resumes
- Compare candidates
- Batch-evaluate job applications
Example prompts
- “/glmv-resume-screen”
Requirements
- Python 3
- A credential in ZHIPU_API_KEY
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- OpenClaw config (recommended) / OpenClaw 配置（推荐）： Set in openclaw.json under skills.entries.glmv-resume-screen.env
- Shell environment variable / Shell 环境变量： Add to ~/.zshrc
What it can do on your machine
Read from SKILL.md and the folder at commit 2ecd31c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
bigmodel.cndocs.bigmodel.cn
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
ZHIPU_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Glmv Resume Screen loads about 1.6k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 436 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from zai-org/GLM-skills at commit 2ecd31c, republished under its Apache-2.0 licence (© zai-org). 436 words, ~1,643 tokens.
Download SKILL.mdSave it as
.claude/skills/glmv-resume-screen/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- glmv-resume-screen
- description
- Screen and evaluate resumes against criteria using ZhiPu GLM-V multimodal model. Reads multiple resume files (PDF/DOCX/TXT), compares against user-defined screening criteria, and outputs a Markdown table with pass/fail analysis. Use when the user wants to filter resumes, compare candidates, or batch-evaluate job applications.
GLM-V Resume Screening Skill
Batch-read resumes and screen candidates against your criteria using the ZhiPu GLM-V multimodal model.
When to Use
- Filter/screen multiple resumes against specific criteria
- User mentions "筛选简历", "评估候选人", "简历筛选", "resume screening", "filter candidates"
- Compare candidates for a job position
- Batch-evaluate job applications
Supported Input Types
| Type | Formats | Max Count | Source |
|---|---|---|---|
| Resume (URL) | pdf, docx, txt | 50 | URL |
| Resume (Local) | pdf only | pages ≤ 50 total | Local path |
Local PDF / 本地 PDF: Local PDF files are converted page-by-page into images (base64) before sending to the model.
PyMuPDFis 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 screening result (Markdown table) exactly as returned. Do not summarize, truncate, or only say "screening completed". Users need each candidate's detailed analysis to decide.
- Show the full Markdown table (index, name, pass/fail, match level, reasoning)
- If output was saved (
-o), provide the file path and show file content - If screening output is empty, explain why
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-resume-screen.env:json "glmv-resume-screen": { "enabled": true, "env": { "ZHIPU_API_KEY": "你的密钥" } }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-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。
Show full SKILL.md (147 more words)Show less
How to Use
Basic Screening
python scripts/resume_screen.py \
--files "https://example.com/resume1.pdf" "https://example.com/resume2.docx" \
--criteria "3年以上工作经验，有Python开发经验，有大型项目管理经验"Save as Markdown
python scripts/resume_screen.py \
--files "https://example.com/resume1.pdf" "https://example.com/resume2.docx" \
--criteria "本科以上学历，5年后端开发经验" \
--output result.mdSave as JSON
python scripts/resume_screen.py \
--files "https://example.com/resume1.pdf" "https://example.com/resume2.docx" \
--criteria "有机器学习经验" \
--output result.json --prettyCustom System Prompt
python scripts/resume_screen.py \
--files "https://example.com/resume1.pdf" \
--criteria "前端开发岗位，3年经验" \
--system-prompt "你是一位资深技术面试官，特别关注候选人的项目深度和技术选型能力"Output Example
The model outputs a Markdown table like this:
| 序号 | 候选人姓名 | 是否符合 | 符合程度 | 原因分析 |
| ---- | ---------- | ----------- | -------- | ----------------------------------------------------------- |
| 1 | 张三 | ✅ 符合 | 高 | 5年后端经验，熟练使用Python和Django，主导过3个大型项目 |
| 2 | 李四 | ❌ 不符合 | 低 | 仅1年开发经验，主要使用Java，无Python经验 |
| 3 | 王五 | ⚠️ 部分符合 | 中 | 3年Python经验但无项目管理经验，技术栈匹配但缺乏大型项目经历 |CLI Reference
python scripts/resume_screen.py --files FILE [FILE...] --criteria CRITERIA [OPTIONS]| Parameter | Required | Description |
|---|---|---|
--files, -f | ✅ | Resume file URLs (pdf/docx/txt, URL only, max 50) |
--criteria, -c | ✅ | Screening criteria text |
--model, -m | No | Model name (default: glm-4.6v) |
--system-prompt, -s | No | Custom system prompt (default: professional HR assistant) |
--temperature, -t | No | Sampling temperature 0-1 (default: 0.3) |
--max-tokens | No | Max output tokens (default: 4096) |
--output, -o | No | Save result to file (.md for markdown, .json for JSON) |
--pretty | No | Pretty-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: → Resumes too large or too many → reduce file count
© zai-org, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in skills/glmv-resume-screen of zai-org/GLM-skills.
- SKILL.md
- scripts/resume_screen.py
Open the folder on GitHubat commit 2ecd31c
Compare with similar skills
Glmv Resume Screen next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Glmv Resume Screen this skillzai-org/GLM-skills | 476 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| MarkitdownImCa0/just-laws | 781 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Gzh Designisjiamu/gzh-design-skill | 4k | — | ~2.2k | Automated safety check: Pass | AGPL-3.0 | |
| Gzh DesignZJU-REAL/Easel | 3.4k | — | ~2.1k | Automated safety check: Pass | AGPL-3.0 | |
| Doc Cleanernotoriouslab/doc-cleaner | 309 | — | ~712 | Automated safety check: Pass | MIT | |
| MineruNebutra/MinerU-Skill | 123 | — | ~504 | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Glmv Resume Screen
What does Glmv Resume Screen do?
Screen and evaluate resumes against criteria using ZhiPu GLM-V multimodal model. Glmv Resume Screen is an agent skill from zai-org/GLM-skills. Screen and evaluate resumes against criteria using ZhiPu GLM-V multimodal model.
When should I use Glmv Resume Screen?
Glmv Resume Screen fits situations like: the user wants to filter resumes; compare candidates; batch-evaluate job applications.
How do I install Glmv Resume Screen in Claude Code?
Run `npx skills add zai-org/GLM-skills --skill glmv-resume-screen -a claude-code`. Or copy the skill folder (skills/glmv-resume-screen in zai-org/GLM-skills) into .claude/skills/glmv-resume-screen in your project. Claude Code loads it when a task matches its description.
How do I install Glmv Resume Screen in Codex?
Run `npx skills add zai-org/GLM-skills --skill glmv-resume-screen -a codex`. Or copy the skill folder (skills/glmv-resume-screen in zai-org/GLM-skills) into .agents/skills/glmv-resume-screen in your project. Codex loads it when a task matches its description.
Can I use Glmv Resume Screen in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zai-org/GLM-skills --skill glmv-resume-screen -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/glmv-resume-screen, .gemini/skills/glmv-resume-screen, .github/skills/glmv-resume-screen and .opencode/skills/glmv-resume-screen in your project.
What does Glmv Resume Screen need to run?
Going by SKILL.md and its folder, Glmv Resume Screen needs Python for the scripts in its folder, the command-line tools its instructions call (python and pip) and credentials named ZHIPU_API_KEY. Our summary lists: Python 3; A credential in ZHIPU_API_KEY.
Does Glmv Resume Screen access the network?
SKILL.md names 2 domains. As links in the text: bigmodel.cn and docs.bigmodel.cn. This is read from the text; nothing was executed.
Is Glmv Resume Screen safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Glmv Resume Screen use?
Glmv Resume Screen is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Glmv Resume Screen use?
About 1.6k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Glmv Resume Screen?
Skills that share tags, products or a category with Glmv Resume Screen: Markitdown (ImCa0/just-laws, 781 stars), Gzh Design (isjiamu/gzh-design-skill, 4k stars), Gzh Design (ZJU-REAL/Easel, 3.4k stars) and Doc Cleaner (notoriouslab/doc-cleaner, 309 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Glmv Resume Screen?
zai-org (a GitHub organization) maintains it in zai-org/GLM-skills, which has 476 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on April 15, 2026.
Source: zai-org/GLM-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.