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toolweb-resumy工具网简历

Agent Skill

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。

总安装

2,681

周安装

114

GitHub Stars

公开资料未说明

下载量

939
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: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

简介

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。

SKILL.md

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

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

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。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

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