Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计提醒

jd-resume-tailorjd 简历裁缝

Agent Skill

jd-resume-tailor 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,648

周安装

152

GitHub Stars

公开资料未说明

下载量

1,216
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:jd-resume-tailor(jd 简历裁缝)
来源仓库:https://github.com/26048608982lp-ai/jd-resume-tailor
安装命令:
openclaw skills install jd-resume-tailor
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 jd-resume-tailor

简介

依据个人背景与职位需求生成高度定制化的简历优化工具。

  • 收集工作经历、技能标签与项目经验后自动匹配 JD 关键词密度。
  • 输出格式规范的 PDF 文档,突出岗位相关能力与成果量化描述。
  • 安装命令:openclaw skills install jd-resume-tailor,使用 clawhub 安装。
  • 建议上传原始简历与目标职位描述以提升匹配准确度。

SKILL.md

name
resume-tailor
description
Generate job-specific tailored resumes from a base profile and job description. First collects structured user info (personal details, work history, side projects, education, skills, certificates), then reads a target JD to produce a polished HTML resume customized to match. Outputs print-optimized HTML that exports cleanly to PDF via browser print. Use when user wants to create/rewrite/tailor a resume for a specific job posting, optimize a resume for ATS, build a resume from scratch, or says "make me a resume" / "tailor my resume" / "customize resume for this job". Supports Chinese and English resumes.
security
Uses --headless browser (msedge/chrome) for PDF export only. No network requests, no credential access, no file system operations outside workspace/resumes/.

Resume Tailor

Generate a polished, job-specific HTML resume. Two-phase workflow: collect profile → match JD.

Phase 1: Profile Collection

On first run (no base profile exists), collect user info in this structured order. Ask one section at a time, confirm before moving to next. Save completed profile to resume-profile.md in workspace.

Before collecting, confirm preferences:

  1. Accent color — Ask user to pick a theme color (default: #6b4c9a purple). Accept hex, color name, or "default". This applies to all generated resumes unless overridden per-JD.
  2. Language — Chinese (中文) or English resume? Default based on user's communication language.
  3. Target region/culture — e.g., mainland China (include birth date, photo slot), overseas (exclude).

1.1 Personal Information (个人信息)

  • Name, phone, email, birth date, location, gender
  • LinkedIn / portfolio URL (optional)

1.2 Education (教育背景)

  • School, degree, major, graduation date
  • Core courses / GPA / honors (optional, include if relevant to target)

1.3 Work Experience (工作经历)

For each role, collect:

  • Company name, location
  • Role / title
  • Project name and type (if applicable)
  • Date range (start - end)
  • 3-6 bullet points of responsibilities and achievements
  • Prompt user to quantify where possible (numbers, percentages, metrics)
  • Ask: "Any tools, tech, or methods worth mentioning?"

1.4 Side Projects / Personal Projects (个人项目)

For each project:

  • Project name, type (game, web app, tool, etc.)
  • Status (launched / in progress / prototype)
  • Your role and contribution
  • Key features and metrics (DAU, retention, revenue, etc.)
  • Tech stack used
  • If built with AI tools, note which and how

1.5 Skills (技能)

Group into categories:

  • Domain skills: e.g., game design, numerical balance, UX research
  • Technical tools: e.g., Excel/VBA, Python, Claude Code, Cursor
  • Languages: Chinese, English, etc. with proficiency level

1.6 Certificates & Awards (证书 & 荣誉)

  • Professional certifications
  • Academic awards / competitions

1.7 Save Profile

After collecting all sections, save as resume-profile.md:

# Resume Profile: [Name]
> Last updated: YYYY-MM-DD

## Personal
[structured data]

## Education
[structured data]

## Work Experience
[per-role structured data with bullets]

## Projects
[per-project structured data]

## Skills
[categorized list]

## Certificates
[list]

On subsequent runs, read resume-profile.md first. Ask only: "Profile loaded. Anything to update?" If changes needed, edit specific sections.

Phase 2: JD Match & Resume Generation

2.1 Collect Job Description

Always ask the user to provide the JD. Accept via:

  • Pasted text (most common)
  • File path (txt/md/pdf/html)
  • URL (web_fetch)

After reading the JD, confirm with user:

📋 JD确认:
- 岗位:[Job Title]
- 公司:[Company]
- 核心要求:[3-5 key requirements]
- 加分项:[preferred qualifications]

以上提取正确吗?有补充或修正吗?

Only proceed after user confirms the JD parsing is correct.

2.2 Match Analysis (show to user before generating)

🎯 Target: [Job Title] at [Company]
📊 Match: [High/Medium/Low]

✅ Strong matches:
- [match 1: profile strength → JD requirement]
- [match 2]
- [match 3]

⚠️ Gaps (be honest):
- [gap 1: JD wants X, profile has limited Y]
- [gap 2]

📝 Tailoring strategy:
- Emphasize: [what to highlight and expand]
- Reframe: [how to position existing experience]
- Downplay: [what to shorten or combine]

🎨 Accent color: [using default / user's choice / suggest per JD tone]

Wait for user confirmation or adjustments before generating.

2.3 Generate HTML Resume

Produce a single self-contained HTML file with all CSS inline. Reference references/html-template-guide.md for detailed template specs.

Content rules:

  • 3 core advantages in top highlight grid — each mapped to a top JD priority
  • Work experience ordered by relevance to JD (most relevant first)
  • Expand descriptions for matching roles; condense irrelevant ones
  • Mirror JD keywords naturally (don't keyword-stuff)
  • Every bullet point quantified where possible
  • Skills section prioritizes JD-required skills
  • 1-2 pages max for A4

Style defaults (overridable per user preference):

  • Accent: #6b4c9a (purple) — ask user on first run, store in profile
  • Font: "Microsoft YaHei", "PingFang SC", sans-serif (Chinese) or "Inter", sans-serif (English)
  • Name: 26px, section titles: 13px, body: 9-11px
  • Print CSS: @media print { print-color-adjust: exact; }
  • A4: 210mm width, @page { margin: 0; }

2.4 Auto Export PDF

After saving the HTML file, automatically export to PDF using headless browser.

Edge (preferred, Windows built-in):

& "C:\Program Files (x86)\Microsoft\Edge\Application\msedge.exe" --headless --print-to-pdf="$outputPath" --no-margins --disable-gpu "$htmlPath"

Chrome fallback:

& "C:\Program Files\Google\Chrome\Application\chrome.exe" --headless --print-to-pdf="$outputPath" --no-margins --disable-gpu "$htmlPath"

Rules:

  • Output PDF named [Name]-[JobTitle].pdf in same resumes/ directory
  • Use --no-margins since the HTML template handles its own padding
  • Wait for the process to complete before proceeding
  • If headless export fails, tell user to manually open HTML in browser and Ctrl+P

2.5 Deliver Result

Save both files to resumes/:

  • [Name]-[JobTitle].html
  • [Name]-[JobTitle].pdf

Tell user:

✅ Resume generated! PDF saved to resumes/[Name]-[JobTitle].pdf Verify before sending: - [ ] Contact info correct - [ ] Dates accurate - [ ] No typos in company/project names - [ ] Achievements not overstated - [ ] PDF formatting looks correct (open and scroll through)

File Structure

workspace/
├── resume-profile.md          # Base profile (created on first run)
├── resumes/
│   ├── [Name]-[JobTitle].html
│   ├── [Name]-[JobTitle].pdf
│   └── ...
└── skills/
    └── resume-tailor/
        ├── SKILL.md
        └── references/
            └── html-template-guide.md

See references/html-template-guide.md for the complete HTML template structure with all sections, CSS classes, and print optimization details.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

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

79.23%
按下载量换算963

安全审计

VirusTotal

可疑

ClawScan

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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

继续浏览同类 Skills