Job Auto-Apply Skill

# 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="[email protected]",
    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:

• "Find and apply to Python developer jobs in San Francisco"
• "Search for remote backend engineer positions and apply to the top 5 matches"
• "Auto-apply to senior software engineer roles with 100k+ salary"
• "Apply to jobs at tech startups on Wellfound"

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

• Searches across all major job platforms
• Uses official APIs when available
• Falls back to web scraping for platforms without APIs

2. Smart Matching

• Analyzes job descriptions for requirement matching
• Calculates compatibility scores
• Filters jobs based on minimum match threshold

3. Application Customization

• Generates tailored cover letters per job
• Customizes resume emphasis based on job requirements
• Handles platform-specific application forms

4. Safety Features

• Dry Run Mode: Test without submitting applications
• Manual Confirmation: Review each application before submission
• Rate Limiting: Prevents overwhelming platforms
• Application Logging: Tracks all submissions for reference

5. Form Automation

Automatically fills common application fields:

• Personal information
• Work authorization status
• Education and experience
• Skills and certifications
• Screening questions (using AI when needed)

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

• job_search_apply.py - Main automation script with search, matching, and application logic

References

• platform_integration.md - Technical documentation for API integration, web scraping, form automation, and platform-specific details

Assets

• profile_template.json - Comprehensive profile template with all required and optional fields

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

• Start with dry-run mode to verify behavior
• Set reasonable limits (5-10 applications per day)
• Use high match score thresholds (0.75+)
• Enable confirmation for important applications
• Track results to optimize strategy