Token导航 LogoToken导航

Agent Skill · 运维

toolweb-resumy(工具网简历)

toolweb-resumy 用于补充运维相关能力,适合在 OpenClaw 中需要让 Agent 承接运维相关任务时使用。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。

toolweb-resumy 是运维类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在运维类的 954 个 Skill 里排第 839。

总安装 2,681周安装 114GitHub Stars 公开资料未说明下载 939核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:toolweb-resumy(工具网简历)
来源仓库:https://github.com/krishnakumarmahadevan-cmd/toolweb-resumy
安装命令:
openclaw skills install toolweb-resumy
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 toolweb-resumy

这个 Skill 是做什么的

运维类 Skill 处理部署、监控、日志和云资源,多数需要较高的执行权限。

从结构化数据生成专业简历和求职信,支持可选简历解析功能。适合求职准备、简历优化和申请材料快速生成等场景。toolweb-resumy 属于运维类 Skill,可作为该场景下的辅助能力补充。输入个人信息、经历和岗位要求,输出格式化文档内容。需确保输入数据真实准确,避免泄露隐私或产生误导信息。

建议人工复核输出内容,并根据反馈持续改进模板和逻辑。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install toolweb-resumy;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

toolweb-resumy 怎么安装?

在终端执行 openclaw skills install toolweb-resumy。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

toolweb-resumy 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

toolweb-resumy 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

toolweb-resumy 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

toolweb-resumy 用的人多吗?

公开数据是累计安装 2,681 次,近一周安装 114 次,下载 939 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

toolweb-resumy 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理运维类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

运维类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
docker-essentials

Docker 基础 · OpenClaw

1,005,15130接触敏感数据MIT-0通过
playwright-scraper-skill

Playwright scraper 技能 · OpenClaw

923,55754接触敏感数据MIT-0有提醒
moltguard

moltguard 搜索 · OpenClaw

825,096110接触敏感数据MIT-0通过
finance-news

财经新闻 · OpenClaw

275,51210需要联网MIT-0有提醒
security-monitor

安全监视器 · OpenClaw

224,1695需要联网MIT-0有提醒
toolweb-resumy

工具网简历 · 本页

2,681—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
Resume Builder
description
Generate professional resumes and cover letters from structured data with optional resume parsing capabilities.

Overview

Resume Builder is a professional document generation API that transforms structured candidate data into polished, ATS-friendly resumes and cover letters. Built for recruiters, HR professionals, and career service platforms, it streamlines the resume creation process while maintaining consistent formatting and professional presentation standards.

The tool supports comprehensive resume data including work experience, education, skills, certifications, and accomplishments. It can simultaneously generate matching cover letters tailored to specific job opportunities. Resume Builder also includes parsing capabilities to extract structured data from existing resume documents, making it ideal for resume optimization workflows and bulk document generation scenarios.

Ideal users include recruitment agencies, career coaching platforms, applicant tracking systems, HR departments, and job placement services seeking to programmatically create or enhance professional documents at scale.

Usage

Generate a Resume and Cover Letter:

{
  "resume_data": {
    "full_name": "Sarah Chen",
    "email": "sarah.chen@email.com",
    "phone": "+1-555-0123",
    "location": "San Francisco, CA",
    "linkedin": "linkedin.com/in/sarahchen",
    "portfolio": "sarahchen.dev",
    "tagline": "Full-Stack Engineer | Cloud Architecture",
    "summary": "6+ years building scalable cloud solutions with focus on infrastructure automation and team leadership.",
    "experiences": [
      {
        "title": "Senior Software Engineer",
        "company": "CloudCorp Inc",
        "location": "San Francisco, CA",
        "start_date": "Jan 2021",
        "end_date": "Present",
        "highlights": [
          "Led migration of monolithic application to microservices reducing latency by 40%",
          "Architected and deployed Kubernetes infrastructure supporting 500+ deployments monthly",
          "Mentored team of 5 junior engineers on cloud-native best practices"
        ]
      },
      {
        "title": "Software Engineer",
        "company": "TechStart LLC",
        "location": "Oakland, CA",
        "start_date": "Jun 2018",
        "end_date": "Dec 2020",
        "highlights": [
          "Developed backend APIs serving 2M+ daily requests",
          "Implemented CI/CD pipeline reducing deployment time from 45 min to 8 min"
        ]
      }
    ],
    "education": [
      {
        "degree": "BS Computer Science",
        "institution": "UC Berkeley",
        "location": "Berkeley, CA",
        "year": "2018",
        "gpa": "3.8"
      }
    ],
    "skills": ["Python", "Go", "Kubernetes", "AWS", "Docker", "Terraform", "PostgreSQL"],
    "certifications": ["AWS Solutions Architect Professional", "CKA - Certified Kubernetes Administrator"],
    "tools": ["Git", "Jenkins", "Prometheus", "Grafana"],
    "accomplishments": ["Published article on infrastructure optimization in IEEE Software"]
  },
  "cover_letter_data": {
    "full_name": "Sarah Chen",
    "email": "sarah.chen@email.com",
    "phone": "+1-555-0123",
    "location": "San Francisco, CA",
    "company_name": "InnovateTech Solutions",
    "company_location": "Mountain View, CA",
    "job_title": "Staff Engineer - Platform",
    "job_description": "Lead architecture and implementation of next-gen distributed systems platform",
    "key_highlights": [
      "Proven track record scaling systems to millions of requests per second",
      "Deep expertise in Kubernetes and cloud infrastructure",
      "Strong mentorship and technical leadership experience"
    ]
  },
  "generate_cover_letter": true
}

Sample Response:

{
  "status": "success",
  "resume_filename": "resume_sarah_chen_20240115.pdf",
  "cover_letter_filename": "cover_letter_sarah_chen_20240115.pdf",
  "download_urls": {
    "resume": "/download/resume_sarah_chen_20240115.pdf",
    "cover_letter": "/download/cover_letter_sarah_chen_20240115.pdf"
  },
  "generation_time_ms": 2341
}

Endpoints

GET /

Root Endpoint

Returns service information and status.

Response: Service metadata object.


GET /status

Status Check

Verifies API availability and health.

Response: JSON object containing service status and uptime information.


POST /generate

Generate Resume and/or Cover Letter

Generates professional resume and optionally cover letter documents from structured data.

Request Body:

  • resume_data (ResumeData, required) - Core resume information including name, contact details, experience, education, and skills
  • cover_letter_data (CoverLetterData, optional) - Cover letter details including company and job information
  • generate_cover_letter (boolean, optional, default: true) - Whether to generate accompanying cover letter

ResumeData Schema (required fields: full_name, email, phone):

  • full_name (string, required) - Candidate full name
  • email (string, required) - Email address
  • phone (string, required) - Phone number
  • location (string, optional) - City/region
  • linkedin (string, optional) - LinkedIn profile URL
  • portfolio (string, optional) - Portfolio or personal website URL
  • tagline (string, optional) - Professional headline/tagline
  • availability (string, optional) - Availability status (e.g., "Immediately", "2 weeks")
  • summary (string, optional) - Professional summary/objective
  • experiences (array of Experience objects, optional) - Work history

- title (string) - Job title - company (string) - Company name - location (string) - Job location - start_date (string) - Start date - end_date (string, default: "Present") - End date - highlights (array of strings) - Key accomplishments

  • education (array of Education objects, optional) - Educational background

- degree (string) - Degree name (e.g., "BS Computer Science") - institution (string) - School/university name - location (string) - School location - year (string) - Graduation year - gpa (string) - GPA (optional)

  • skills (array of strings, optional) - Technical and soft skills
  • certifications (array of strings, optional) - Professional certifications
  • tools (array of strings, optional) - Software/tools proficiency
  • accomplishments (array of strings, optional) - Awards and achievements
  • other_employers (array of strings, optional) - Additional employer references
  • job_description (string, optional) - Target job description for resume optimization
  • original_resume (string, optional) - Existing resume text for enhancement

CoverLetterData Schema (required fields: full_name, email, phone, company_name, job_title):

  • full_name (string, required)
  • email (string, required)
  • phone (string, required)
  • location (string, optional)
  • date (string, optional)
  • hiring_manager (string, optional, default: "Hiring Manager")
  • company_name (string, required)
  • company_location (string, optional)
  • company_address (string, optional)
  • job_title (string, required)
  • job_description (string, optional)
  • opening_paragraph (string, optional)
  • body_paragraph (string, optional)
  • closing_paragraph (string, optional)
  • key_highlights (array of strings, optional)

Response: JSON object with status, document filenames, download URLs, and generation timestamp.

Error Responses:

  • 422 Validation Error - Invalid request schema or missing required fields

POST /parse-resume

Parse Resume Endpoint

Extracts structured data from unstructured resume documents for re-generation or updating.

Request Body:

  • data (object, required) - Resume content as flexible object (supports various input formats including text, PDF metadata, or document content)

Response: Structured JSON object matching ResumeData schema with extracted fields.

Error Responses:

  • 422 Validation Error - Invalid input format or unparseable resume content

GET /download/{filename}

Download Generated Document

Retrieves generated resume or cover letter file.

Path Parameters:

  • filename (string, required) - Document filename returned from /generate endpoint

Response: File download (PDF or specified format).

Error Responses:

  • 422 Validation Error - Invalid or non-existent filename

Pricing

PlanCalls/DayCalls/MonthPrice
Free550Free
Developer20500$39/mo
Professional2005,000$99/mo
Enterprise100,0001,000,000$299/mo

About

ToolWeb.in - 200+ security APIs, CISSP & CISM, platforms: Pay-per-run, API Gateway, MCP Server, OpenClaw, RapidAPI, YouTube.

References

  • Kong Route: https://api.toolweb.in/tools/resumy
  • API Docs: https://api.toolweb.in:8166/docs

平台分布

OpenClaw

86.36%
按下载量换算811

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills