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robohirerobohire 自动化

Agent Skill

robohire 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

3,782

周安装

153

GitHub Stars

公开资料未说明

下载量

1,187
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:robohire(robohire 自动化)
来源仓库:https://github.com/yongthelaoma-cyber/robohire
安装命令:
openclaw skills install robohire
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 robohire

简介

robohire 构建端到端 AI 驱动招聘流程自动化平台。

  • 适用于 HR 部门从岗位发布到候选人短名单的全流程管理。
  • 集成简历解析、面试安排与评估反馈生成功能模块。
  • 安装命令:openclaw skills install robohire,需对接 ATS 系统 API。
  • 涉及候选人隐私数据,须符合当地劳动法规要求。

SKILL.md

name
robohire
description
RoboHire — AI-powered end-to-end recruitment agent platform. Automates the full hiring process from role brief to final shortlist. "From role brief to final shortlist — hiring moves on autopilot." For HR teams, recruiters, and founders who want to cut hiring time from weeks to days.

RoboHire — AI Recruitment Agent

What It Does

RoboHire is an AI-powered end-to-end recruitment platform that automates 80% of the hiring process:

  • AI Recruiting Consultant — clarifies role requirements via conversation
  • AI JD Generator — creates polished job descriptions
  • AI Resume Screening — ranks candidates with reasoning (not keyword matching)
  • Automated Interview Outreach — sends interview invites via link + QR code
  • AI Video Interviewer — 24/7, supports 7 languages, real-time analysis
  • Multi-Agent Evaluation — structured scorecards with cheating detection

Key Stats

  • 500+ companies use RoboHire
  • 42 days → 3 days typical hiring cycle
  • 90% time saved
  • 7 languages supported
  • 14-day free trial, no credit card

Pricing

PlanPriceLimits
Starter$26.10/mo1 seat, 3 roles, 15 interviews, 100 matches
Growth$179.10/moUnlimited, 120 interviews, 240 matches
Business$359.10/mo280 interviews, 500 matches, + analytics
EnterpriseCustomUnlimited, 45+ ATS integrations

How to Use

For Hiring Managers

  1. Go to robohire.io — 14-day free trial
  2. Describe your hiring need to the AI consultant
  3. Upload resumes — AI screens and ranks candidates
  4. Send AI interview invites — candidates interview 24/7
  5. Get structured evaluation reports

For Recruiters

  • Automate resume screening at scale
  • Set up multi-channel interview outreach
  • Generate professional evaluation reports

For Founders

  • No full-time recruiter needed
  • Hire 10x faster without reading a single resume
  • Starting at $26.10/month

Links

  • Website: https://robohire.io
  • App: https://app.robohire.io
  • Pricing: https://robohire.io/pricing
  • Docs: https://robohire.io/docs

8-Step Hiring Flow

  1. Register → app.robohire.io
  2. AI consultant clarifies role (10 min)
  3. AI generates job description
  4. Upload resumes to Talent Hub (50 PDFs, drag & drop)
  5. AI smart matching — multi-dimensional scoring
  6. Send AI interview invites (link + QR code)
  7. AI video interview (20-30 min, 7 languages, cheating detection)
  8. Multi-dimensional evaluation report

What This Skill Does

This skill serves as a RoboHire knowledge base and quick-reference for OpenClaw agents. It provides:

  • Product specifications
  • Pricing details
  • Feature documentation
  • Use cases and examples

For the full AI agent platform, visit app.robohire.io

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

95.43%
按下载量换算1,133

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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