Job-Hunter — 技能工具

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:

• Basic Info:

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

• Professional Summary:

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

• Core Competencies:

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

• Professional Experience:

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

• Education:

- Degrees, institutions, dates, relevant coursework/thesis

• 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:

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

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

CV Generation

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

• Extract job details from the message
• Run CareerForge CLI to generate tailored CV
• 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

• Master Resume Template
• Job Search Configuration
• CareerForge CLI Usage