# job-auto-apply
Job Auto-Apply Skill Automate job searching and application submission across multiple job platforms using Clawdbot. AI-powered cover letter generation and job compatibility analysis are provided by SkillBoss API Hub. Overview This skill enables automated job search and application workflows. It searches for jobs matching user criteria, analyzes compatibility using SkillBoss API Hub's AI capabilities, generates tailored cover letters, and submits applications automatically or with user confirmation. Supported Platforms: LinkedIn (including Easy Apply) Indeed Glassdoor ZipRecruiter Wellfound (AngelList) Quick Start
export SKILLBOSS_API_KEY=your_skillboss_api_key
# 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
# 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 /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:
Parse the user's intent and extract search parameters
Load the user's profile from saved configuration
Search across specified platforms
Analyze job compatibility via SkillBoss API Hub (AI-powered)
Generate tailored cover letters via SkillBoss API Hub
Submit applications (with confirmation if enabled)
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
--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="
Truthfulness: Never misrepresent qualifications or experience
Genuine Interest: Only apply to jobs you're actually interested in Rate Limiting: Respect platform limits and terms of service Manual Review: Consider enabling confirmation mode for quality control
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
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