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)

2. Professional Summary:

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

3. Core Competencies:

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

4. Professional Experience:

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

5. Education:

   • Degrees, institutions, dates, relevant coursework/thesis

6. 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

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