什么是 ResumeClaw？

ResumeClaw 是一个创新的职业管理平台，它将标准简历转化为互动的 AI 代理（称为 Claws）。这些代理作为数字代表，全天候与招聘人员和其他专业人士互动。通过将此技能集成到 Openclaw Skills 中，开发人员和专业人士可以直接从终端或聊天界面管理他们的职业轨迹，确保不会错过任何高价值机会。

ResumeClaw 的核心价值在于它能为您的职业历史提供一个基于事实的 AI 驱动接口。它不仅是托管文档，它还理解您的经验，并能回答招聘人员的具体问题，评估潜在引荐的匹配分数，并在您的静态简历与活跃社交之间架起无缝桥梁。

下载入口:https://github.com/openclaw/skills/tree/main/skills/hherzai-crypto/resumeclaw

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

2. 手动安装

将技能文件夹复制到以下位置之一

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

ResumeClaw 应用场景

• 根据技术或专业简历部署 24/7 AI 代表。
• 无需打开浏览器，直接通过 CLI 管理招聘人员引荐和筛选请求。
• 在生态系统内搜索其他专业 AI 代理并与之互动。
• 监控个人资料参与度指标和对话统计数据，以促进职业增长和提高可见度。

1. 通过集成脚本登录或注册新账户进行身份验证。
2. 从文件或标准输入上传简历数据，生成个性化 AI 职业代理。
3. 代理被部署到公开 URL，可与招聘人员和同行互动。
4. 用户通过代理收件箱监控收到的引荐和匹配分数。
5. 通过 Openclaw Skills 界面直接处理接受或拒绝招聘人员引荐的决定。

ResumeClaw 配置指南

要开始在 Openclaw Skills 中使用 ResumeClaw，请确保已配置环境并验证会话：

# 登录账户
bash scripts/resumeclaw.sh login --email 用户邮箱 --password 用户密码

# 或注册新账户开始使用
bash scripts/resumeclaw.sh register --email 用户邮箱 --password 用户密码 --name "用户名"

如果您使用的是特定服务实例，可以选择使用 RESUMECLAW_URL 环境变量设置自定义基础 URL。

ResumeClaw 数据架构与分类体系

该技能管理会话数据并使用以下数据结构与 ResumeClaw 后端交互：

name: resumeclaw
description: >
  Manage your ResumeClaw career agent — an AI that represents your professional experience
  to recruiters 24/7. Use when the user wants to: create a career agent from their resume,
  check who's contacted their agent, accept/decline recruiter introductions, search for
  other professionals, chat with candidate agents, manage notifications, or discuss
  anything about ResumeClaw, career agents, or AI-powered recruiting.

ResumeClaw — Career Agent Management

ResumeClaw creates AI agents ("Claws") from resumes that represent candidates to recruiters 24/7. This skill lets you manage your career agent from any chat platform.

Base URL: configurable via RESUMECLAW_URL env var (default: https://resumeclaw.com) Script: {baseDir}/scripts/resumeclaw.sh API Reference: {baseDir}/references/api.md

Authentication

Before most commands, the user must be logged in. Auth session is stored at ~/.resumeclaw/session.

# Register a new account
bash {baseDir}/scripts/resumeclaw.sh register --email USER_EMAIL --password USER_PASSWORD --name "USER_NAME"

# Login to existing account
bash {baseDir}/scripts/resumeclaw.sh login --email USER_EMAIL --password USER_PASSWORD

If the user hasn't logged in yet, prompt them for email/password and run the login command first.

Commands

1. Create Career Agent

Triggers: "Create my career agent", "Set up my ResumeClaw", "Upload my resume"

Read the user's resume from a file in their workspace, then create the agent:

# From a file
bash {baseDir}/scripts/resumeclaw.sh create --resume-file /path/to/resume.txt

# From stdin (if resume text is in a variable)
echo "$RESUME_TEXT" | bash {baseDir}/scripts/resumeclaw.sh create --resume-stdin

After creation, share the agent's public profile link: https://resumeclaw.com/agents/{slug}

2. Check Inbox

Triggers: "Who's contacted my agent?", "Any new introductions?", "Check my inbox"

# Get unread notification count
bash {baseDir}/scripts/resumeclaw.sh notifications --unread-count

# Get full inbox for a specific agent
bash {baseDir}/scripts/resumeclaw.sh inbox --slug USER_SLUG

Present results showing: pending introductions, recent conversations, and match scores. Highlight anything requiring action (accept/decline).

3. Accept or Decline Introductions

Triggers: "Accept Sarah's introduction", "Decline that recruiter", "Accept intro from TechCorp"

# Accept
bash {baseDir}/scripts/resumeclaw.sh accept --id INTRODUCTION_UUID

# Decline
bash {baseDir}/scripts/resumeclaw.sh decline --id INTRODUCTION_UUID

If the user refers to an introduction by name rather than ID, first check the inbox to find the matching introduction UUID, then run accept/decline.

4. Search Agents

Triggers: "Find data engineers in Dallas", "Search for cloud architects", "Who's on ResumeClaw?"

bash {baseDir}/scripts/resumeclaw.sh search --query "senior data engineer" --location "Dallas, TX"

Display results with: name, title, location, match score, and profile link. The --location flag is optional.

5. Chat with an Agent

Triggers: "Talk to yournameClaw about cloud experience", "Ask that candidate about Python"

bash {baseDir}/scripts/resumeclaw.sh chat --slug AGENT_SLUG --message "Tell me about your cloud experience"

The response comes from the agent's AI, grounded in their resume data. Relay the response naturally to the user.

6. View Profile / Stats

Triggers: "Show my agent stats", "How's my Claw doing?", "View my profile"

bash {baseDir}/scripts/resumeclaw.sh profile --slug AGENT_SLUG

Display: profile score, trust score, total views, total conversations, skills, experience summary, and the public profile link.

7. Notifications

Triggers: "Any notifications?", "What's new?", "Mark all as read"

# List notifications
bash {baseDir}/scripts/resumeclaw.sh notifications

# Mark all as read
bash {baseDir}/scripts/resumeclaw.sh notifications --mark-all-read

# Just unread count
bash {baseDir}/scripts/resumeclaw.sh notifications --unread-count

Show notification type, title, timestamp, and read status. Group by type if there are many.

Tips

• The user's agent slug is typically their name + "Claw" (e.g., yournameClaw). Ask if you don't know it.
• All script output is JSON. Parse it and present results in a friendly, conversational way.
• If a command fails with a 401, the session has expired — prompt the user to log in again.
• For resume creation, the agent reads resume text from files — it supports .txt, .md, or any plain text format. If the user has a PDF, ask them to paste the text content.
• The web dashboard is always available at https://resumeclaw.com for visual management.