القائمة
智能简历解析系统，支持PDF/Word/图片格式简历的结构化信息提取、岗位匹配度分析、优化建议生成。完全本地运行，无需外部API。使用场景：(1) 解析上传的简历文件提取核心信息，(2) 输入岗位JD计算简历匹配度，(3) 生成简历优化建议，(4) 导出结构化简历数据。
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/whyzsm/tiny-agents --skill resume-parserيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Single-Agent T-MAX Java backend architecture and engineering rule package. Use when Codex must design, implement, review, or diagnose T-MAX backend services involving Java 8, Spring Boot, Kylin, MyBatis XML, TiDB/MySQL, Apollo/Nacos, Feign, AnePageHelper, ResponseResult/DataGridResult, UEP export, Redis, RabbitMQ, or Maven multi-module repositories. Routes one Agent through repository intake, architecture decisions, API/data contracts, implementation diagnosis, quality/security review, and bounded evidence loops while keeping builds, tests, live calls, commits, and pushes as separate authority boundaries.
Create polished consulting-style single-file HTML research reports from messy business notes, screenshots, metrics, and iterative user feedback. Use this skill whenever the user asks for a 咨询风/艾瑞咨询风/研究报告/汇报报告/HTML报告, wants business or AI landing-practice material turned into a management-facing report, asks to add charts/diagrams, or asks to update report metrics and keep the whole HTML report consistent.
Audit HarmonyOS applications for AppGallery/AGC release readiness, including Huawei UX/HMI controls, system-feature integrations, and performance gates for multi-input interaction, latency, frame rate, content display, memory, and CPU. Use when users ask for 鸿蒙上架自检、应用市场审核、AGC发布前检查、控件/系统特性/人机交互/签名/隐私/权限/截图/性能核对或 release 包门禁, especially for Stage-model projects with module.json5, build-profile.json5, hvigorw, and local-first data constraints.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | resume-parser |
| description | 智能简历解析系统，支持PDF/Word/图片格式简历的结构化信息提取、岗位匹配度分析、优化建议生成。完全本地运行，无需外部API。使用场景：(1) 解析上传的简历文件提取核心信息，(2) 输入岗位JD计算简历匹配度，(3) 生成简历优化建议，(4) 导出结构化简历数据。 |
python scripts/extract_pdf.py <input-pdf-path>
返回纯文本内容
python scripts/extract_docx.py <input-docx-path>
返回纯文本内容
python scripts/extract_image.py <input-image-path>
返回OCR识别的文本内容
python scripts/parse_resume.py <extracted-text-file>
返回结构化JSON数据
python scripts/match_jd.py <resume-json-path> <jd-text-path>
返回匹配度分析结果
{
"basic_info": {
"name": "",
"phone": "",
"email": "",
"age": null,
"gender": "",
"location": "",
"work_years": null
},
"education": [
{
"school": "",
"major": "",
"degree": "",
"start_date": "",
"end_date": "",
"gpa"
{
"overall_score": 0-100,
"dimensions": [
{
"name": "核心技能匹配",
"score": 0-100,
"weight": 0.4,
"matched": ["匹配的核心技能列表"],
"missing": ["缺失的核心技能列表"],
"analysis": "详细分析说明"
},
{
"name": "岗位职责匹配",
"score": 0-100,
"weight": 0.3,
"matched": ["匹配的职责经验"]
首次使用前安装依赖：
pip install PyPDF2 python-docx pytesseract pillow python-multipart
注意：OCR功能需要安装Tesseract引擎