Job Autopilot — Resume Tailor

Produces a tailored resume and cover letter for each shortlist job in the tracker. Delivers .docx files ready to attach and send.

Core principles

1. 100% truthful — never invent experience, inflate metrics, or fabricate credentials.
Resume content comes from the user's original files first — always read $RESUME_DIR before writing anything.
md before docx — complete markdown drafts for ALL shortlisted jobs first, then convert to docx in batch. Do not interleave md writing and docx conversion.
One job at a time for reporting — finish and report each job's result before moving to the next.
No silent spinning — if a job cannot be reliably completed within 30 minutes, mark it error with a clear reason and move on.

Setup

Add to ~/.openclaw/workspace/job_search/config.sh:

CODEBLOCK0

Session start

Read in order:

1. $RESUME_DIR — understand the user's full experience and skills
INLINECODE6 — find all shortlist entries to process

JD fetch order

For each shortlist job:

1. Use the exact URL from the tracker
Try web_search first to extract job responsibilities, skills, keywords, asset classes
If web_search returns no useful JD, use browser to open the URL directly
If the URL is broken, a generic careers page, or wrong role → mark tracker error and explain why

Content production order

For each job, strictly in this sequence:

Step 1 — Read source material

Read all files in $RESUME_DIR. The pool may contain:

File type	What to extract
Master resume (`.docx` / `.pdf`)	Full work history, bullet points, metrics, dates. PDF text is extracted by the agent's built-in tools; the conversion script handles `.docx` and `.md` only.
Older tailored versions

Extract everything factual — every bullet, every metric, every tool name. This is your raw material. Do not invent anything not present in these files.

Resume markdown format specification

The markdown file must follow this exact format. md_to_docx.py parses it structurally — any deviation will produce wrong or missing output.

CODEBLOCK1

Parsing rules the script enforces — follow these exactly:

Element	Rule
Line 1	Full name, plain text, no `#` heading marker
Line 2

What the script handles automatically:

- More jobs than template slots → clones the last job's formatting
Fewer jobs than template slots → removes unused placeholders
Same logic for bullets, earlier experience, and education entries

Step 2 — Write resume markdown

Tailor bullet points to match the JD keywords. Prioritize:

- Skills explicitly mentioned in JD
Quantified achievements relevant to the role
Asset classes, systems, or methodologies named in JD

Save to: INLINECODE33

Self-check before converting to docx

Before running md_to_docx.py, verify the markdown against these rules:

CODEBLOCK2

If any check fails, fix the markdown before proceeding — a malformed file will silently produce an incomplete docx.

Step 3 — Write cover letter markdown

Three paragraphs max:

1. Why this role + company
Most relevant experience match (2–3 specific points)
Brief close

Save to: INLINECODE35

Step 4 — Update tracker

Change status to md_ready. Record md file paths.

Step 5 — Generate docx files

Resume — use md_to_docx.py with the template:
CODEBLOCK3

Cover letter — use python-docx directly (plain text, no template):
CODEBLOCK4

Step 6 — Verify docx

"Text looks right" is not the same as "file is deliverable." Both conditions must pass:

1. Content check — open the docx and compare section by section against the md:

- No missing sections - No leftover {{PLACEHOLDER}} strings anywhere in the document - Company name and job title are correct throughout

2. File check — the docx must open without errors, have non-zero file size, and be saved to INLINECODE39
URL check — validate the job URL from the tracker is still reachable

Do not call partial verification "good enough." If any check fails, fix and re-verify before updating the tracker.

Step 7 — Update tracker

- Success → resume_ready, record docx paths
Cannot reliably complete → error, write reason

Step 8 — Report

After each job, report: company, title, files produced, any issues.

File naming convention

CODEBLOCK5

Spaces → underscores. Keep company and title short (≤ 20 chars each if possible).

Tracker status flow

CODEBLOCK6

Known failure modes to avoid

- Do not call partial verification "good enough"
Do not treat "text looks right" as equivalent to "docx is deliverable"
Do not spend more than 30 minutes on a single job without reporting status
Do not write a generic script to handle all cases; get the md layer working first

Scope

Resume tailoring only. Do not submit applications. Hand off resume_ready entries to the jobautopilot-submitter skill.

Support

If Job Autopilot saved you time: paypal.me/ZLiu308

职位自动导航 — 简历定制

为追踪器中每个shortlist职位生成定制简历和求职信。输出可直接附上发送的.docx文件。

核心原则

1. 100%真实 — 绝不虚构经历、夸大指标或伪造资质。
简历内容优先来自用户原始文件 — 在撰写任何内容前，始终先读取$RESUME_DIR。
先写markdown再转docx — 先完成所有shortlist职位的markdown草稿，再批量转换为docx。不要交错进行md编写和docx转换。
每次报告一个职位 — 完成并报告一个职位的结果后，再处理下一个。
不静默空转 — 如果某个职位无法在30分钟内可靠完成，标记为error并写明原因，然后继续。

设置

添加到~/.openclaw/workspace/job_search/config.sh：

bash
export RESUME_DIR=$HOME/Documents/jobs/ # 原始简历文件存放位置
export RESUMEOUTPUTDIR=$HOME/Documents/jobs/tailored/ # 定制文件保存位置
export RESUMETEMPLATE=$HOME/.openclaw/workspace/jobsubagent/scripts/sampleplaceholders.docx

下载模板：https://github.com/jerronl/jobautopilot/raw/main/jobautopilot-tailor/scripts/sample_placeholders.docx

export MDTODOCXSCRIPT=$HOME/.openclaw/workspace/jobsubagent/scripts/mdto_docx.py
export JOBSEARCHTRACKER=$HOME/.openclaw/workspace/jobsearch/jobapplication_tracker.md
export USERFIRSTNAME=Your
export USERLASTNAME=Name
export USER_EMAIL=your@email.com
export USER_PHONE=+1-555-000-0000
export USER_LINKEDIN=https://linkedin.com/in/yourprofile
mkdir -p $RESUMEOUTPUTDIR

会话开始

按顺序读取：

1. $RESUMEDIR — 了解用户的完整经验和技能
$JOBSEARCH_TRACKER — 查找所有待处理的shortlist条目

JD获取顺序

对于每个shortlist职位：

1. 使用追踪器中的确切URL
首先尝试websearch提取职位职责、技能、关键词、资产类别
如果websearch未返回有用的JD，使用浏览器直接打开URL
如果URL已失效、指向通用招聘页面或错误职位 → 在追踪器中标记error并说明原因

内容生成顺序

对于每个职位，严格按以下顺序执行：

步骤1 — 阅读源材料

读取$RESUME_DIR中的所有文件。文件池可能包含：

文件类型	提取内容
主简历（.docx / .pdf）	完整工作经历、要点、指标、日期。PDF文本由代理的内置工具提取；转换脚本仅处理.docx和.md。
旧版定制简历

提取所有事实性内容 — 每个要点、每个指标、每个工具名称。这是你的原始素材。不要捏造这些文件中不存在的任何内容。

简历markdown格式规范

markdown文件必须遵循以下精确格式。mdtodocx.py按结构解析 — 任何偏差都会导致输出错误或缺失。

markdown
Full Name
Email | Phone | LinkedIn | Location

SUMMARY
两到三句话总结候选人。

CORE SKILLS
与该职位相关的技能、工具和技术列表。

EXPERIENCE
Job Title — Company Name | City, ST | Jan 2022 – Present
• 通过做Y实现了X，带来了Z
• 另一个带有指标的要点

Job Title — Company Name | City, ST | Jun 2019 – Dec 2021
• 要点
• 要点

EARLIER EXPERIENCE
Earlier Role — Company, Year–Year
Another Earlier Role — Company, Year–Year

EDUCATION
University Name — Degree, Major (Year)

脚本强制执行的解析规则 — 请严格遵循：

元素	规则
第1行	全名，纯文本，无#标题标记
第2行

脚本自动处理的内容：

- 职位多于模板插槽 → 克隆最后一个职位的格式
职位少于模板插槽 → 移除未使用的占位符
要点、早期经历和教育背景条目同理

步骤2 — 编写简历markdown

定制要点以匹配JD关键词。优先考虑：

- JD中明确提及的技能
与职位相关的量化成就
JD中提到的资产类别、系统或方法论

保存至：$RESUMEOUTPUTDIR/${USERFIRSTNAME}<em>Resume</em>2026.md</p> <h3>转换为docx前的自检</h3> <p>在运行md<em>to</em>docx.py之前，根据以下规则验证markdown：</p> <p>bash<br> <h1>第1行必须是纯文本姓名（无#前缀）</h1><br> head -1 resume.md</p> <h1>第2行必须包含竖线（联系信息）</h1> sed -n 2p resume.md | grep | <h1>章节标题必须全部大写且无##前缀</h1> grep -E ^[A-Z ]+$ resume.md <h1>职位标题必须匹配：Title — Company | Location | Date</h1> grep -E ^.+ — .+ \| .+ \| .+$ resume.md <h1>要点必须以•或-开头</h1> grep -E ^[•\-] resume.md <p>如果任何检查失败，在继续前修复markdown — 格式错误的文件会静默生成不完整的docx。</p> <h3>步骤3 — 编写求职信markdown</h3> 最多三段： <ol><li>1. 为什么选择该职位+公司</li><li>最相关的经验匹配（2-3个具体点）</li><li>简短结尾</li></ol> <p>保存至：$RESUME<em>OUTPUT</em>DIR/${USER<em>FIRST</em>NAME}<em><Company></em><Title><em>Cover</em>Letter_2026.md</p> <h3>步骤4 — 更新追踪器</h3> 将状态更改为md_ready。记录md文件路径。 <h3>步骤5 — 生成docx文件</h3> <p><strong>简历</strong> — 使用md<em>to</em>docx.py配合模板：<br> bash<br> python3 $MD<em>TO</em>DOCX_SCRIPT \<br> --input $RESUME<em>OUTPUT</em>DIR/${USER<em>FIRST</em>NAME}<em><Company></em><Title><em>Resume</em>2026.md \<br> --template $RESUME_TEMPLATE \<br> --output $RESUME<em>OUTPUT</em>DIR/${USER<em>FIRST</em>NAME}<em><Company></em><Title><em>Resume</em>2026.docx</p> <p><strong>求职信</strong> — 直接使用python-docx（纯文本，无模板）：<br> python<br> from docx import Document<br> from docx.shared import Pt<br> from docx.enum.text import WD<em>ALIGN</em>PARAGRAPH</p> <p>doc = Document()<br> style = doc.styles[Normal]<br> style.font.name = Calibri<br> style.font.size = Pt(11)</p> <h1>从求职信md内容添加段落</h1> for para in cover<em>letter</em>paragraphs: p = doc.add_paragraph(para) <p>doc.save(f{output<em>dir}/{os.environ[USER</em>FIRST<em>NAME]}</em><Company><em><Title></em>Cover<em>Letter</em>2026.docx)</p> <h3>步骤6 — 验证docx</h3> <p><strong>文本看起来没问题不等于文件可交付。</strong> 两个条件都必须通过：</p> <ol><li>1. <strong>内容检查</strong> — 打开docx并逐节与md比较：</li></ol> - 无缺失章节 - 文档中无残留的{{PLACEHOLDER}}字符串 - 公司名称和职位标题通篇正确 <ol><li>2. <strong>文件检查</strong> — docx必须能无错误打开，文件大小非零，并保存到$RESUME<em>OUTPUT</em>DIR</li><li><strong>URL检查</strong> — 验证追踪器中的职位URL仍然可访问</li></ol> <p>不要</p></div> </div> <div class="tags"> <h4>标签</h4> <span class="tag">skill</span> <span class="tag">ai</span> </div> </div> </div> <div class="tab-content" id="tab-install"> <div class="install-panel"> <h3>通过对话安装</h3> <p>该技能支持在以下平台通过对话安装：</p> <div class="platform-list"> <span class="platform-tag">OpenClaw</span> <span class="platform-tag">WorkBuddy</span> <span class="platform-tag">QClaw</span> <span class="platform-tag">Kimi</span> <span class="platform-tag">Claude</span> </div> <div class="install-method"> <h4>方式一：安装 SkillHub 和技能</h4> <div class="code-block"> <button class="copy-btn" onclick="copyToClipboard('帮我安装 SkillHub 和 jobautopilot-tailor-1775909358 技能', this)">复制</button> <code>帮我安装 SkillHub 和 jobautopilot-tailor-1775909358 技能</code> </div> </div> <div class="install-method"> <h4>方式二：设置 SkillHub 为优先技能安装源</h4> <div class="code-block"> <button class="copy-btn" onclick="copyToClipboard('设置 SkillHub 为我的优先技能安装源，然后帮我安装 jobautopilot-tailor-1775909358 技能', this)">复制</button> <code>设置 SkillHub 为我的优先技能安装源，然后帮我安装 jobautopilot-tailor-1775909358 技能</code> </div> </div> <h3 style="margin-top: 30px;">通过命令行安装</h3> <div class="install-method"> <div class="code-block"> <button class="copy-btn" onclick="copyToClipboard('skillhub install jobautopilot-tailor-1775909358', this)">复制</button> <code>skillhub install jobautopilot-tailor-1775909358</code> </div> </div> <h3 style="margin-top: 30px;">下载</h3> <a href="plugin.php?id=hl_skillhub&mod=download&version_id=1637&token=9f7b052616c013049f2c03a11bc15078" class="download-btn"> ⬇ 下载 jobautopilot-tailor v1.3.0（免费） </a> <p class="download-info"> 文件大小: 9.26 KB | 发布时间: 2026-4-12 10:20 </p> </div> </div> <div class="tab-content" id="tab-versions"> <div class="version-list"> <div class="version-item"> <div class="version-header"> <span class="version-number">v1.3.0</span> <span class="latest-tag">最新</span> <span class="version-date">2026-4-12 10:20</span> </div> <div class="changelog"> ## jobautopilot-tailor 1.3.0<br /> <br /> - Version bumped from 1.2.9 to 1.3.0 in SKILL.md.<br /> - No other functional or documentation changes detected. </div> </div> </div> </div>  <div class="related-skills"> <h3>相关推荐</h3> <div class="skill-list-related"> <div class="skillhub-card-related"> <a href="plugin.php?id=hl_skillhub&mod=detail&slug=self-improving-agent-1776396682"> <div class="skill-icon"> <div class="default-icon">s</div> </div> <h3 class="skill-name">self-improvement</h3> <p class="skill-desc">Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.</p> <div class="skill-meta"> <div class="stats"> <span>⭐ 3209</span> <span>⬇ 392958</span> </div> <span class="skill-source">AI智能</span> </div> </a> </div> <div class="skillhub-card-related"> <a href="plugin.php?id=hl_skillhub&mod=detail&slug=self-improving-agent-1776382578"> <div class="skill-icon"> <div class="default-icon">s</div> </div> <h3 class="skill-name">self-improvement</h3> <p class="skill-desc">Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.</p> <div class="skill-meta"> <div class="stats"> <span>⭐ 3209</span> <span>⬇ 392957</span> </div> <span class="skill-source">AI智能</span> </div> </a> </div> <div class="skillhub-card-related"> <a href="plugin.php?id=hl_skillhub&mod=detail&slug=self-improving-agent-1776282374"> <div class="skill-icon"> <div class="default-icon">s</div> </div> <h3 class="skill-name">self-improvement</h3> <p class="skill-desc">Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.</p> <div class="skill-meta"> <div class="stats"> <span>⭐ 3195</span> <span>⬇ 389589</span> </div> <span class="skill-source">AI智能</span> </div> </a> </div> <div class="skillhub-card-related"> <a href="plugin.php?id=hl_skillhub&mod=detail&slug=self-improving-agent-1776190579"> <div class="skill-icon"> <div class="default-icon">s</div> </div> <h3 class="skill-name">self-improvement</h3> <p class="skill-desc">Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.</p> <div class="skill-meta"> <div class="stats"> <span>⭐ 3177</span> <span>⬇ 386644</span> </div> <span class="skill-source">AI智能</span> </div> </a> </div> </div> </div> </div> </div> <style> .skill-detail { padding: 20px 0; min-height: 100vh; } .breadcrumb { margin-bottom: 20px; color: #666; } .breadcrumb a { color: #155BD5; } .breadcrumb span { margin: 0 5px; } .skill-detail-header { display: flex; gap: 24px; padding: 30px; background: #fff; border-radius: 12px; margin-bottom: 20px; border: 1px solid #e8e8e8; } .skill-icon-large { width: 120px; height: 120px; flex-shrink: 0; } .skill-icon-large img { width: 100%; height: 100%; border-radius: 20px; object-fit: cover; } .skill-icon-large .default-icon-large { width: 100%; height: 100%; border-radius: 20px; background: #155BD5; color: #fff; display: flex; align-items: center; justify-content: center; font-size: 48px; font-weight: bold; } .skill-info { flex: 1; } .skill-header-action { flex-shrink: 0; display: flex; align-items: center; padding-left: 20px; } .header-download-btn { display: inline-flex; align-items: center; gap: 8px; padding: 12px 24px; background: #155BD5; color: #fff; border-radius: 8px; text-decoration: none; font-size: 14px; font-weight: 500; transition: all 0.2s ease; white-space: nowrap; } .header-download-btn:hover { background: #0d4bb5; transform: translateY(-1px); box-shadow: 0 4px 12px rgba(21, 91, 213, 0.3); } .header-download-btn.buy { background: #f97316; } .header-download-btn.buy:hover { background: #ea580c; box-shadow: 0 4px 12px rgba(249, 115, 22, 0.3); } .skill-info h1 { font-size: 36px; font-weight: 700; color: #1e293b; margin-bottom: 10px; display: flex; align-items: center; flex-wrap: wrap; gap: 12px; } .skill-info h1 .name-cn { font-size: 20px; color: #666; font-weight: 500; background: #f1f5f9; padding: 4px 14px; border-radius: 20px; white-space: nowrap; } .skill-info .skill-desc { font-size: 16px; color: #666; margin-bottom: 8px; } .skill-info .skill-scenarios { font-size: 14px; color: #999; margin-bottom: 10px; } .skill-info .skill-author { font-size: 13px; color: #999; } /* 统计面板 */ .stats-panel { display: flex; align-items: center; background: #fff; border-radius: 12px; padding: 24px 0; margin-bottom: 24px; border: 1px solid #e8e8e8; box-shadow: 0 1px 3px rgba(0,0,0,0.05); } .stats-panel .stats-item { flex: 1; text-align: center; padding: 0 16px; } .stats-panel .stats-divider { width: 1px; height: 48px; background: linear-gradient(180deg, transparent, #e8e8e8, transparent); } .stats-panel .stats-icon { width: 40px; height: 40px; margin: 0 auto 8px; border-radius: 50%; display: flex; align-items: center; justify-content: center; font-size: 18px; background: #f1f5f9; color: #64748b; } .stats-panel .stats-icon.source-icon { background: #e0e7ff; color: #6366f1; } .stats-panel .stats-icon.version-icon { background: #fef3c7; color: #d97706; } .stats-panel .stats-icon.security-icon { background: #fee2e2; color: #9ca3af; } .stats-panel .stats-icon.security-icon.verified { background: #d1fae5; color: #10b981; } .stats-panel .stats-value { font-size: 15px; font-weight: 600; color: #374151; margin-bottom: 4px; } .stats-panel .stats-number { font-size: 24px; font-weight: 700; color: #111827; margin-bottom: 4px; line-height: 1.2; } .stats-panel .stats-label { font-size: 13px; color: #9ca3af; } .stats-panel .stats-item.highlight .stats-label { color: #6b7280; } .skill-tabs { display: flex; gap: 40px; border-bottom: 1px solid #e8e8e8; margin-bottom: 20px; } .skill-tabs .tab-item { padding: 15px 0; color: #666; cursor: pointer; border-bottom: 2px solid transparent; font-size: 16px; } .skill-tabs .tab-item.active { color: #155BD5; border-bottom-color: #155BD5; } .tab-content { background: #fff; border-radius: 12px; padding: 30px; margin-bottom: 20px; border: 1px solid #e8e8e8; opacity: 0; transform: translateY(10px); transition: all 0.3s ease; display: none; } .tab-content.active { opacity: 1; transform: translateY(0); display: block; } .lang-switcher { display: flex; gap: 8px; margin-bottom: 16px; justify-content: flex-end; } .lang-switcher .lang-btn { padding: 4px 16px; border: 1px solid #d1d5db; background: #fff; border-radius: 20px; font-size: 13px; color: #6b7280; cursor: pointer; transition: all 0.2s; } .lang-switcher .lang-btn:hover { border-color: #155BD5; color: #155BD5; } .lang-switcher .lang-btn.active { background: #155BD5; color: #fff; border-color: #155BD5; } .overview-content h3 { margin-bottom: 15px; } /* Markdown 预览样式 */ .markdown-body { line-height: 1.8; color: #333; margin-bottom: 20px; } .markdown-body h1, .markdown-body h2, .markdown-body h3, .markdown-body h4, .markdown-body h5, .markdown-body h6 { margin-top: 24px; margin-bottom: 16px; font-weight: 600; line-height: 1.25; color: #1e293b; } .markdown-body h1 { font-size: 2em; border-bottom: 1px solid #e8e8e8; padding-bottom: 8px; } .markdown-body h2 { font-size: 1.5em; border-bottom: 1px solid #e8e8e8; padding-bottom: 8px; } .markdown-body h3 { font-size: 1.25em; } .markdown-body p { margin-bottom: 16px; } .markdown-body ul, .markdown-body ol { padding-left: 2em; margin-bottom: 16px; } .markdown-body li { margin-bottom: 4px; } .markdown-body code { padding: 2px 6px; background: #f1f5f9; border-radius: 4px; font-family: 'Consolas', monospace; font-size: 0.9em; color: #155BD5; } .markdown-body pre { padding: 16px; background: #1e1e1e; border-radius: 8px; overflow-x: auto; margin-bottom: 16px; } .markdown-body pre code { background: transparent; color: #d4d4d4; padding: 0; } .markdown-body blockquote { padding: 0 1em; border-left: 4px solid #155BD5; color: #666; margin-bottom: 16px; } .markdown-body table { width: 100%; border-collapse: collapse; margin-bottom: 16px; } .markdown-body th, .markdown-body td { padding: 8px 12px; border: 1px solid #e8e8e8; } .markdown-body th { background: #f8f9fa; font-weight: 600; } .markdown-body a { color: #155BD5; text-decoration: none; } .markdown-body a:hover { text-decoration: underline; } .markdown-body img { max-width: 100%; border-radius: 8px; } .overview-content .tags { margin-top: 20px; } .overview-content .tags h4 { margin-bottom: 10px; } .overview-content .tag { display: inline-block; padding: 4px 12px; background: #f0f0f0; border-radius: 4px; margin-right: 8px; margin-bottom: 8px; font-size: 13px; } .install-panel h3 { margin-bottom: 15px; } .platform-list { margin-bottom: 20px; } .platform-tag { display: inline-block; padding: 4px 12px; background: #e3f2fd; color: #1976d2; border-radius: 4px; margin-right: 8px; font-size: 13px; } .install-method { margin-bottom: 25px; } .install-method h4 { margin-bottom: 10px; font-size: 14px; color: #666; } .code-block { position: relative; background: #1e1e1e; border-radius: 8px; padding: 16px 60px 16px 16px; } .code-block code { color: #d4d4d4; font-family: 'Consolas', monospace; font-size: 14px; } .copy-btn { position: absolute; right: 12px; top: 50%; transform: translateY(-50%); padding: 4px 12px; background: #333; border: none; border-radius: 4px; color: #fff; cursor: pointer; font-size: 12px; } .copy-btn:hover { background: #444; } .copy-btn.copied { background: #10b981 !important; animation: copyPulse 0.3s ease; } @keyframes copyPulse { 0%, 100% { transform: translateY(-50%) scale(1); } 50% { transform: translateY(-50%) scale(1.1); } } .download-btn { display: inline-block; padding: 12px 24px; background: #155BD5; color: #fff; border-radius: 8px; text-decoration: none; font-size: 14px; } .download-btn:hover { background: #0d4bb5; } .download-info { margin-top: 10px; font-size: 13px; color: #999; } .version-list .version-item { padding: 20px 0; border-bottom: 1px solid #e8e8e8; } .version-list .version-item:last-child { border-bottom: none; } .version-header { display: flex; align-items: center; gap: 10px; margin-bottom: 10px; } .version-header .version-number { font-size: 18px; font-weight: 600; } .version-header .latest-tag { padding: 2px 8px; background: #e8f5e9; color: #4caf50; border-radius: 4px; font-size: 12px; } .version-header .version-date { margin-left: auto; color: #999; font-size: 13px; } .changelog { color: #666; line-height: 1.6; } /* 相关推荐 */ .related-skills { margin-top: 40px; padding: 24px; background: #fff; border-radius: 12px; border: 1px solid #e8e8e8; } .related-skills h3 { margin-bottom: 20px; font-size: 18px; font-weight: 600; color: #1e293b; display: flex; align-items: center; gap: 8px; } .related-skills h3:before { content: ''; width: 4px; height: 20px; background: #155BD5; border-radius: 2px; } .skill-list-related { display: grid; grid-template-columns: repeat(auto-fill, minmax(240px, 1fr)); gap: 20px; } .skillhub-card-related { border-radius: 16px; padding: 20px; transition: all 0.3s ease; background: rgba(255, 255, 255, 0.95); backdrop-filter: blur(10px); border: 1px solid rgba(0, 0, 0, 0.08); box-shadow: 0 1px 3px rgba(0,0,0,0.05), 0 4px 12px rgba(0,0,0,0.03); } .skillhub-card-related:hover { box-shadow: 0 8px 24px rgba(21, 91, 213, 0.15); transform: translateY(-4px); } .skillhub-card-related:active { transform: scale(0.98); } .skillhub-card-related a { color: inherit; text-decoration: none; } .skillhub-card-related .skill-icon { width: 56px; height: 56px; margin-bottom: 12px; } .skillhub-card-related .skill-icon .default-icon { width: 100%; height: 100%; border-radius: 12px; background: #155BD5; color: #fff; display: flex; align-items: center; justify-content: center; font-size: 24px; font-weight: bold; } .skillhub-card-related .skill-name { font-size: 16px; font-weight: 600; margin-bottom: 8px; color: #333; } .skillhub-card-related .skill-desc { font-size: 13px; color: #666; line-height: 1.5; overflow: hidden; text-overflow: ellipsis; display: -webkit-box; -webkit-line-clamp: 2; -webkit-box-orient: vertical; margin-bottom: 12px; min-height: 39px; } .skillhub-card-related .skill-meta { display: flex; justify-content: space-between; align-items: center; font-size: 12px; color: #999; } .skillhub-card-related .skill-meta .stats { display: flex; gap: 12px; } .skillhub-card-related .skill-source { background: #f0f0f0; padding: 2px 10px; border-radius: 12px; font-size: 12px; } @media screen and (max-width: 768px) { .skill-detail-header { flex-direction: column; text-align: center; padding: 24px 20px; } .skill-icon-large { width: 80px; height: 80px; } .skill-icon-large .default-icon-large { font-size: 32px; } .skill-info h1 { font-size: 24px; } .skill-info h1 .name-cn { font-size: 14px; padding: 2px 10px; margin-left: 0; margin-top: 6px; } .skill-header-action { padding-left: 0; padding-top: 16px; width: 100%; justify-content: center; } .header-download-btn { width: 100%; justify-content: center; max-width: 280px; } .stats-panel { flex-wrap: wrap; padding: 16px 0; } .stats-panel .stats-item { flex: 1 1 30%; min-width: 80px; padding: 12px 8px; } .stats-panel .stats-divider { width: 1px; height: 36px; } .stats-panel .stats-icon { width: 32px; height: 32px; font-size: 14px; } .stats-panel .stats-number { font-size: 18px; } .stats-panel .stats-value { font-size: 13px; } .stats-panel .stats-label { font-size: 11px; } .skill-tabs { overflow-x: auto; gap: 24px; -webkit-overflow-scrolling: touch; } .skill-tabs .tab-item { white-space: nowrap; } .code-block { padding: 16px 50px 16px 16px; } .code-block code { font-size: 12px; word-break: break-all; } } /* Paid skill notice */ .paid-notice { text-align: center; padding: 40px 24px; background: linear-gradient(135deg, #fff7ed, #ffedd5); border-radius: 12px; border: 1px solid #fed7aa; } .paid-notice-icon { width: 56px; height: 56px; margin: 0 auto 16px; background: #fff; border-radius: 50%; display: flex; align-items: center; justify-content: center; font-size: 28px; color: #f97316; box-shadow: 0 2px 8px rgba(249,115,22,0.15); } .paid-notice h3 { font-size: 20px; color: #9a3412; margin-bottom: 8px; } .paid-notice p { font-size: 14px; color: #c2410c; margin: 4px 0; } .paid-buy-box { padding: 20px; background: #fff7ed; border-radius: 8px; border: 1px solid #fed7aa; margin-bottom: 12px; } .paid-buy-box p { color: #7c2d12; font-size: 15px; margin: 0; }</style> <script> // 复制功能 function copyToClipboard(text, btn) { if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(text).then(function() { showCopied(btn); }).catch(function() { fallbackCopy(text, btn); }); } else { fallbackCopy(text, btn); } } function fallbackCopy(text, btn) { var textarea = document.createElement('textarea'); textarea.value = text; textarea.style.position = 'fixed'; textarea.style.opacity = '0'; document.body.appendChild(textarea); textarea.select(); try { document.execCommand('copy'); showCopied(btn); } catch (err) { btn.textContent = '失败'; } document.body.removeChild(textarea); } function showCopied(btn) { var originalText = btn.textContent; btn.textContent = '已复制!'; btn.classList.add('copied'); setTimeout(function() { btn.textContent = originalText; btn.classList.remove('copied'); }, 2000); } // Tab 切换 document.addEventListener('DOMContentLoaded', function() { var tabItems = document.querySelectorAll('.skill-tabs .tab-item'); var tabContents = document.querySelectorAll('.tab-content'); tabItems.forEach(function(item) { item.addEventListener('click', function() { var target = this.getAttribute('data-tab'); var targetContent = document.getElementById('tab-' + target); // 移除所有 active tabItems.forEach(function(t) { t.classList.remove('active'); }); tabContents.forEach(function(c) { c.classList.remove('active'); }); // 添加 active this.classList.add('active'); // 延迟添加动画类，确保过渡效果 setTimeout(function() { targetContent.classList.add('active'); }, 50); window.location.hash = target; }); }); var hash = window.location.hash.replace('#', ''); if (hash) { var targetTab = document.querySelector('.skill-tabs .tab-item[data-tab="' + hash + '"]'); if (targetTab) { targetTab.click(); } } // 中英文描述切换 var langSwitcher = document.getElementById('langSwitcher'); if (langSwitcher) { var descEn = document.querySelector('#markdownContent .desc-en'); var descCn = document.querySelector('#markdownContent .desc-cn'); var toggleBtn = document.getElementById('langToggleBtn'); var currentLang = 'cn'; toggleBtn.addEventListener('click', function() { if (currentLang === 'en') { currentLang = 'cn'; toggleBtn.textContent = 'English'; if (descEn) descEn.style.display = 'none'; if (descCn) descCn.style.display = 'block'; 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