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job-search-report求职报告

Agent Skill

job-search-report 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

5,290

周安装

214

GitHub Stars

公开资料未说明

下载量

1,661
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:job-search-report(求职报告)
来源仓库:https://github.com/xiaoxty/job-search-report
安装命令:
openclaw skills install job-search-report
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 job-search-report

简介

求职报告通过分析邮件往来生成申请进度总结,提供可视化求职状态反馈。

  • 适合需要定期复盘投递效果或向他人汇报求职进展的用户。
  • 基于 Gmail 数据自动提取关键节点,输出结构化分析报告。
  • 使用前需授权访问邮箱权限,注意敏感信息的脱敏处理。job-search-report 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 建议结合原始 README 确认数据源格式和报告模板细节。

SKILL.md

name
job-search-report
description
Generate a comprehensive job search progress report by analyzing sent applications and received replies from Gmail. Activate when user asks for a job search summary, report, dashboard, progress update, or wants to see all their applications in one view. Pulls data from Gmail and produces a structured markdown report.
metadata
{"openclaw": {"emoji": "📊", "requires": {"bins": ["gog"]}}}

Job Search Report Generator

Analyzes Gmail history to generate a complete job search progress report.

Prerequisites

gog authenticated with Gmail:

gog auth add you@gmail.com --services gmail

When to Activate

  • "生成求职报告"、"job search summary"、"show me my application status"
  • "我投了哪些公司"、"how many companies have I applied to"
  • "求职进展怎么样"、"create a job search dashboard"

Data Collection Workflow

Step 1: Pull sent applications

# Find all job application emails sent
gog gmail messages search "in:sent (application OR resume OR apply OR applying OR interested in the position) newer_than:90d" \
  --max 100 \
  --account you@gmail.com \
  --json

Step 2: Pull all replies received

# Find all recruiter/HR replies
gog gmail messages search "in:inbox (interview OR application OR resume OR opportunity OR position OR hiring OR recruiter) newer_than:90d" \
  --max 100 \
  --account you@gmail.com \
  --json

Step 3: Cross-reference and build application map

For each sent application, find matching replies by:

  • Matching domain (sent to hr@company.com → replies from *@company.com)
  • Matching subject thread (Re: prefix)
  • Date ordering (reply must be after application)

Report Structure

Generate the full report in this format:

# 📊 Job Search Report
Generated: [date]
Period: Last [N] days
Account: [email]

---

## 📈 Overview

| Metric | Count |
|---|---|
| Total Applications Sent | [N] |
| Companies Replied | [N] |
| Reply Rate | [N]% |
| Interview Invites | [N] |
| Currently In Process | [N] |
| Rejections Received | [N] |
| Awaiting Reply (>7 days) | [N] |

---

## 🟢 Active Opportunities (Priority)

### [Company Name] — [Job Title]
- **Applied**: [date]
- **Status**: 🟢 Interview Scheduled / 🔵 In Discussion
- **Contact**: [recruiter name] <email>
- **Latest Update**: [date] — "[key sentence from last email]"
- **Next Action**: [specific action + deadline]

---

## 🔵 Positive / In Progress

### [Company Name] — [Job Title]
- **Applied**: [date]
- **Status**: 🔵 Responded Positively
- **Latest**: [date] — [summary]
- **Next Action**: [action]

---

## 🟡 Awaiting Your Response

### [Company Name] — [Job Title]
- **They need**: [salary info / portfolio / references / assessment]
- **Deadline**: [if mentioned]
- **Next Action**: Prepare and reply ASAP

---

## ⚪ Applied — No Reply Yet

| Company | Role | Applied | Days Since | Follow Up? |
|---|---|---|---|---|
| [Company] | [Role] | [date] | [N] days | [Yes if >7d] |

---

## 🔴 Closed (Rejections)

| Company | Role | Applied | Rejected | Notes |
|---|---|---|---|---|
| [Company] | [Role] | [date] | [date] | [reason if given] |

---

## ⚡ Action Items

Priority actions sorted by urgency:

1. 🔴 **[URGENT]** Reply to [Company] interview invite — respond today
2. 🟠 **[HIGH]** Send follow-up to [Company] — applied 10 days ago, no reply
3. 🟡 **[MEDIUM]** Prepare portfolio for [Company] request
4. 🟢 **[LOW]** Research [Company] before scheduled interview on [date]

---

## 📅 Timeline View

[Month Year]
  [Date] ✉️  Applied to [Company] — [Role]
  [Date] 📬 Reply from [Company] — Interview invite
  [Date] ✉️  Applied to [Company] — [Role]
  [Date] 📬 Rejection from [Company]
  ...

---

## 💡 Insights & Suggestions

**Response rate by industry**: [Tech: X% | Finance: X% | Marketing: X%]
**Average days to reply**: [N] days
**Most active day to apply**: [Day of week from data]

Suggestions:
- [Insight based on data, e.g. "You've applied mostly to large companies — 
   consider adding more startups for higher reply rates"]
- [e.g. "5 applications have been waiting >14 days — consider following up"]
- [e.g. "Your interview rate is X% — above/below the typical 5-10% benchmark"]

Save Report Options

After generating, offer to save:

# Save as markdown file
cat > ~/job-search-report-[date].md << 'EOF'
[report content]
EOF

Or ask if user wants to save to a Google Doc:

# If user has gog docs access
gog docs export [docId] --format txt

Weekly Update Mode

If user asks "update my report" or "refresh":

  1. Fetch only new emails since last report date
  2. Show only the delta (new replies, status changes)
  3. Update the action items list
📬 Updates since [last report date]:
• [Company] replied — moved from "Awaiting" to "Interview Invite"
• [Company] — 14 days with no reply, suggested follow-up added
• New application sent to [Company]

Metrics Benchmarks (context for user)

MetricTypical RangeWhat it means
Reply rate5–20%Industry average; 20%+ means strong resume/targeting
Application-to-interview5–15%Higher = strong resume + good fit
Days to first reply3–14 daysMost replies come in first week
Interview-to-offer20–30%Varies widely by company

Use these to contextualize the user's numbers in the Insights section.

适合场景

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用户想查找某类 Agent Skill 时

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需要根据任务场景推荐可安装能力包时

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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

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按下载量换算1,451

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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。

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