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careerforge-cli-skillcareerforge CLI 技能

Agent Skill

careerforge-cli-skill 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

31,992

周安装

1,333

GitHub Stars

公开资料未说明

下载量

10,664
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:careerforge-cli-skill(careerforge CLI 技能)
来源仓库:https://github.com/alon-mini/careerforge-cli-skill
安装命令:
openclaw skills install careerforge-cli-skill
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 careerforge-cli-skill

简介

careerforge-cli-skill 基于 CLI 实现智能简历生成与自动职位搜索管理。

  • 适用于需要批量投递或个性化简历定制的技术型求职者。
  • 通过 clawhub 安装,专为 OpenClaw 设计,支持过滤标准配置。
  • 使用前应检查本地环境与 API 密钥安全性,防止凭据泄露。
  • 建议参考原始仓库了解命令结构与参数说明。

SKILL.md

name
careerforge-cv-generator
description
AI-powered CV generator for job applications. Sets up automated job search with CareerForge CLI, manages master resume creation, configures filtering criteria (location, keywords, remote/in-person, schedule), and generates tailored CVs on demand. Use when user wants to automate job search, create/update a master resume, configure job filters, or generate CVs for specific job postings.

CareerForge CV Generator Skill

This skill helps users set up and use CareerForge CLI for automated job search and CV generation.

Overview

CareerForge is an AI-powered CV generator that uses Google's Gemini 2.5 Pro with a Writer+Judge pattern to create tailored, ATS-optimized CVs.

Prerequisites

Step 0: Download CareerForge CLI

Before using this skill, download the CLI wrapper from GitHub:

cd /root/.openclaw/workspace
git clone https://github.com/alon-mini/CareerForge-cli.git careerforge-cli
cd careerforge-cli
npm install

Repository: https://github.com/alon-mini/CareerForge-cli

Setup Workflow

Step 1: Check/Create Master Resume

Check if user has a master resume at CV_Master/master_resume.md.

If no master resume exists: Ask the user a series of questions to create one:

  1. Basic Info:

- Full name - Title/headline - Contact info (email, phone, LinkedIn, portfolio)

  1. Professional Summary:

- 2-3 sentences describing their professional identity - Key differentiators - Career focus

  1. Core Competencies:

- Top 5-8 skills (technical and soft skills)

  1. Professional Experience:

- For each role: Company, title, dates, location - 3-4 bullet points per role highlighting achievements - Ask for 2-4 most relevant roles

  1. Education:

- Degrees, institutions, dates, relevant coursework/thesis

  1. Languages:

- Languages and proficiency levels

Master Resume Format: Save as markdown following this structure:

# [Name]

## Contact
- Email: 
- Phone: 
- LinkedIn: 
- Portfolio: 

## Summary
[2-3 sentences]

## Core Competencies
- Skill 1
- Skill 2
...

## Professional Experience

### [Company] | [Title]
*[Dates]*

- Bullet 1
- Bullet 2
...

## Education

### [Degree]
*Institution | Dates*

## Languages
- Language (Proficiency)

Step 2: Configure Job Search Filters

Ask user for filtering preferences:

  1. Location: (e.g., "Tel Aviv, Israel")
  2. Job Title Keywords: (e.g., "AI, data analyst, product manager")
  3. Experience Level: (default: 2-4 years)
  4. Remote/In-person/Hybrid: (default: in-person only)
  5. Exclude Keywords: (e.g., "senior, lead, sales")
  6. Companies to Exclude: (reposting companies)

Step 3: Configure Schedule

Ask user for cron schedule:

  • Hours: (default: 8-18 Israel time)
  • Days: (default: Sunday-Thursday)
  • Timezone: (default: Asia/Jerusalem)

Step 4: Configure LLM Model

Ask user for API key:

  • Default: Google Gemini API key
  • Alternative: Allow user to specify different model

Daily Workflow

Job Search Execution

The cron job runs hourly and:

  1. Searches for jobs matching filters
  2. Sends job listings to user's Telegram group (separate messages)
  3. Each message includes: Title, Company, Location, URL, and instructions

CV Generation

When user replies to a job message with "CV":

  1. Extract job details from the message
  2. Run CareerForge CLI to generate tailored CV
  3. Send CV PDF back to user

File Structure

workspace/
├── CV_Master/
│   └── master_resume.md          # User's master resume
├── careerforge-cli/              # CLI wrapper (from GitHub)
│   ├── generate_cv_from_json.js
│   ├── package.json
│   └── README.md
├── cvs/                          # Generated CVs output
├── job_search.py                 # Job search script
└── careerforge_config.json       # User's filter settings

Commands

Setup

# Download CareerForge CLI from GitHub
git clone https://github.com/alon-mini/CareerForge-cli.git careerforge-cli

# Initialize CareerForge
cd careerforge-cli && npm install

# Create master resume
./scripts/create_master_resume.sh

Daily Use

# Run job search manually
python3 job_search.py

# Generate CV for specific job
node careerforge-cli/generate_cv_from_json.js job.json

References

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

70.9%
按下载量换算7,561

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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