Job Auto Apply

Job Auto-Apply Skill

Automate job searching and application submission across multiple job platforms using Clawdbot.

Overview

This skill enables automated job search and application workflows. It searches for jobs matching user criteria, analyzes compatibility, generates tailored cover letters, and submits applications automatically or with user confirmation.

Supported Platforms:

Quick Start

1. Set Up User Profile

First, create a user profile using the template:

# Copy the profile template
cp profile_template.json ~/job_profile.json
Edit with user's information
Fill in: name, email, phone, resume path, skills, preferences

2. Run Job Search and Apply

# Basic usage - search and apply (dry run)
python job_search_apply.py \
  --title "Software Engineer" \
  --location "San Francisco, CA" \
  --remote \
  --max-applications 10 \
  --dry-run
With profile file
python job_search_apply.py \
  --profile ~/job_profile.json \
  --title "Backend Engineer" \
  --platforms linkedin,indeed \
  --auto-apply
Production mode (actual applications)
python job_search_apply.py \
  --profile ~/job_profile.json \
  --title "Senior Developer" \
  --no-dry-run \
  --require-confirmation

Workflow Steps

Step 1: Profile Configuration

Load the user's profile from the template or create programmatically:

from job_search_apply import ApplicantProfile
profile = ApplicantProfile(
    full_name="Jane Doe",
    email="jane@example.com",
    phone="+1234567890",
    resume_path="~/Documents/resume.pdf",
    linkedin_url="https://linkedin.com/in/janedoe",
    years_experience=5,
    authorized_to_work=True,
    requires_sponsorship=False
)

Step 2: Define Search Parameters

from job_search_apply import JobSearchParams, JobPlatform
search_params = JobSearchParams(
    title="Software Engineer",
    location="Remote",
    remote=True,
    experience_level="mid",
    job_type="full-time",
    salary_min=100000,
    platforms=[JobPlatform.LINKEDIN, JobPlatform.INDEED]
)

Step 3: Run Automated Application

from job_search_apply import auto_apply_workflow
results = auto_apply_workflow(
    search_params=search_params,
    profile=profile,
    max_applications=10,
    min_match_score=0.75,
    dry_run=False,
    require_confirmation=True
)

Integration with Clawdbot

Using as a Clawdbot Tool

When installed as a Clawdbot skill, invoke via natural language:

Example prompts:

The skill will: 1. Parse the user's intent and extract search parameters 2. Load the user's profile from saved configuration 3. Search across specified platforms 4. Analyze job compatibility 5. Generate tailored cover letters 6. Submit applications (with confirmation if enabled) 7. Report results and track applications

Configuration in Clawdbot

Add to your Clawdbot configuration:

{
  "skills": {
    "job-auto-apply": {
      "enabled": true,
      "profile_path": "~/job_profile.json",
      "default_platforms": ["linkedin", "indeed"],
      "max_daily_applications": 10,
      "require_confirmation": true,
      "dry_run": false
    }
  }
}

Features

1. Multi-Platform Search

2. Smart Matching

3. Application Customization

4. Safety Features

5. Form Automation

Advanced Usage

Custom Cover Letter Templates

Create a template with placeholders:

Dear Hiring Manager at {company},
I am excited to apply for the {position} role. With {years} years of 
experience in {skills}, I believe I would be an excellent fit.
{custom_paragraph}
I look forward to discussing how I can contribute to {company}'s success.
Best regards,
{name}

Application Tracking

Results are automatically saved in JSON format with details on each application submitted, including timestamps, match scores, and status.

Bundled Resources

Scripts

References

Assets

Safety and Ethics

Important Guidelines

1. Truthfulness: Never misrepresent qualifications or experience 2. Genuine Interest: Only apply to jobs you're actually interested in 3. Rate Limiting: Respect platform limits and terms of service 4. Manual Review: Consider enabling confirmation mode for quality control 5. Privacy: Secure storage of personal information and credentials

Best Practices

1. Set Up User Profile

First, create a user profile using the template:

# Copy the profile template
cp profile_template.json ~/job_profile.json
Edit with user's information
Fill in: name, email, phone, resume path, skills, preferences

2. Run Job Search and Apply

# Basic usage - search and apply (dry run)
python job_search_apply.py \
  --title "Software Engineer" \
  --location "San Francisco, CA" \
  --remote \
  --max-applications 10 \
  --dry-run
With profile file
python job_search_apply.py \
  --profile ~/job_profile.json \
  --title "Backend Engineer" \
  --platforms linkedin,indeed \
  --auto-apply
Production mode (actual applications)
python job_search_apply.py \
  --profile ~/job_profile.json \
  --title "Senior Developer" \
  --no-dry-run \
  --require-confirmation