{
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    "slug": "job-auto-apply",
    "name": "Job Auto Apply",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/Veeky-kumar/job-auto-apply",
    "canonicalUrl": "https://clawhub.ai/Veeky-kumar/job-auto-apply",
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      "platform_integration.md",
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      "job_search_apply.py"
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          "label": "Upgrade existing",
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  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
      }
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  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Job Auto-Apply Skill",
        "body": "Automate job searching and application submission across multiple job platforms using Clawdbot."
      },
      {
        "title": "Overview",
        "body": "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.\n\nSupported Platforms:\n\nLinkedIn (including Easy Apply)\nIndeed\nGlassdoor\nZipRecruiter\nWellfound (AngelList)"
      },
      {
        "title": "1. Set Up User Profile",
        "body": "First, create a user profile using the template:\n\n# Copy the profile template\ncp profile_template.json ~/job_profile.json\n\n# Edit with user's information\n# Fill in: name, email, phone, resume path, skills, preferences"
      },
      {
        "title": "2. Run Job Search and Apply",
        "body": "# Basic usage - search and apply (dry run)\npython job_search_apply.py \\\n  --title \"Software Engineer\" \\\n  --location \"San Francisco, CA\" \\\n  --remote \\\n  --max-applications 10 \\\n  --dry-run\n\n# With profile file\npython job_search_apply.py \\\n  --profile ~/job_profile.json \\\n  --title \"Backend Engineer\" \\\n  --platforms linkedin,indeed \\\n  --auto-apply\n\n# Production mode (actual applications)\npython job_search_apply.py \\\n  --profile ~/job_profile.json \\\n  --title \"Senior Developer\" \\\n  --no-dry-run \\\n  --require-confirmation"
      },
      {
        "title": "Step 1: Profile Configuration",
        "body": "Load the user's profile from the template or create programmatically:\n\nfrom job_search_apply import ApplicantProfile\n\nprofile = ApplicantProfile(\n    full_name=\"Jane Doe\",\n    email=\"jane@example.com\",\n    phone=\"+1234567890\",\n    resume_path=\"~/Documents/resume.pdf\",\n    linkedin_url=\"https://linkedin.com/in/janedoe\",\n    years_experience=5,\n    authorized_to_work=True,\n    requires_sponsorship=False\n)"
      },
      {
        "title": "Step 2: Define Search Parameters",
        "body": "from job_search_apply import JobSearchParams, JobPlatform\n\nsearch_params = JobSearchParams(\n    title=\"Software Engineer\",\n    location=\"Remote\",\n    remote=True,\n    experience_level=\"mid\",\n    job_type=\"full-time\",\n    salary_min=100000,\n    platforms=[JobPlatform.LINKEDIN, JobPlatform.INDEED]\n)"
      },
      {
        "title": "Step 3: Run Automated Application",
        "body": "from job_search_apply import auto_apply_workflow\n\nresults = auto_apply_workflow(\n    search_params=search_params,\n    profile=profile,\n    max_applications=10,\n    min_match_score=0.75,\n    dry_run=False,\n    require_confirmation=True\n)"
      },
      {
        "title": "Using as a Clawdbot Tool",
        "body": "When installed as a Clawdbot skill, invoke via natural language:\n\nExample prompts:\n\n\"Find and apply to Python developer jobs in San Francisco\"\n\"Search for remote backend engineer positions and apply to the top 5 matches\"\n\"Auto-apply to senior software engineer roles with 100k+ salary\"\n\"Apply to jobs at tech startups on Wellfound\"\n\nThe skill will:\n\nParse the user's intent and extract search parameters\nLoad the user's profile from saved configuration\nSearch across specified platforms\nAnalyze job compatibility\nGenerate tailored cover letters\nSubmit applications (with confirmation if enabled)\nReport results and track applications"
      },
      {
        "title": "Configuration in Clawdbot",
        "body": "Add to your Clawdbot configuration:\n\n{\n  \"skills\": {\n    \"job-auto-apply\": {\n      \"enabled\": true,\n      \"profile_path\": \"~/job_profile.json\",\n      \"default_platforms\": [\"linkedin\", \"indeed\"],\n      \"max_daily_applications\": 10,\n      \"require_confirmation\": true,\n      \"dry_run\": false\n    }\n  }\n}"
      },
      {
        "title": "1. Multi-Platform Search",
        "body": "Searches across all major job platforms\nUses official APIs when available\nFalls back to web scraping for platforms without APIs"
      },
      {
        "title": "2. Smart Matching",
        "body": "Analyzes job descriptions for requirement matching\nCalculates compatibility scores\nFilters jobs based on minimum match threshold"
      },
      {
        "title": "3. Application Customization",
        "body": "Generates tailored cover letters per job\nCustomizes resume emphasis based on job requirements\nHandles platform-specific application forms"
      },
      {
        "title": "4. Safety Features",
        "body": "Dry Run Mode: Test without submitting applications\nManual Confirmation: Review each application before submission\nRate Limiting: Prevents overwhelming platforms\nApplication Logging: Tracks all submissions for reference"
      },
      {
        "title": "5. Form Automation",
        "body": "Automatically fills common application fields:\n\nPersonal information\nWork authorization status\nEducation and experience\nSkills and certifications\nScreening questions (using AI when needed)"
      },
      {
        "title": "Custom Cover Letter Templates",
        "body": "Create a template with placeholders:\n\nDear Hiring Manager at {company},\n\nI am excited to apply for the {position} role. With {years} years of \nexperience in {skills}, I believe I would be an excellent fit.\n\n{custom_paragraph}\n\nI look forward to discussing how I can contribute to {company}'s success.\n\nBest regards,\n{name}"
      },
      {
        "title": "Application Tracking",
        "body": "Results are automatically saved in JSON format with details on each application submitted, including timestamps, match scores, and status."
      },
      {
        "title": "Scripts",
        "body": "job_search_apply.py - Main automation script with search, matching, and application logic"
      },
      {
        "title": "References",
        "body": "platform_integration.md - Technical documentation for API integration, web scraping, form automation, and platform-specific details"
      },
      {
        "title": "Assets",
        "body": "profile_template.json - Comprehensive profile template with all required and optional fields"
      },
      {
        "title": "Important Guidelines",
        "body": "Truthfulness: Never misrepresent qualifications or experience\nGenuine Interest: Only apply to jobs you're actually interested in\nRate Limiting: Respect platform limits and terms of service\nManual Review: Consider enabling confirmation mode for quality control\nPrivacy: Secure storage of personal information and credentials"
      },
      {
        "title": "Best Practices",
        "body": "Start with dry-run mode to verify behavior\nSet reasonable limits (5-10 applications per day)\nUse high match score thresholds (0.75+)\nEnable confirmation for important applications\nTrack results to optimize strategy"
      }
    ],
    "body": "Job Auto-Apply Skill\n\nAutomate job searching and application submission across multiple job platforms using Clawdbot.\n\nOverview\n\nThis 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.\n\nSupported Platforms:\n\nLinkedIn (including Easy Apply)\nIndeed\nGlassdoor\nZipRecruiter\nWellfound (AngelList)\nQuick Start\n1. Set Up User Profile\n\nFirst, create a user profile using the template:\n\n# Copy the profile template\ncp profile_template.json ~/job_profile.json\n\n# Edit with user's information\n# Fill in: name, email, phone, resume path, skills, preferences\n\n2. Run Job Search and Apply\n# Basic usage - search and apply (dry run)\npython job_search_apply.py \\\n  --title \"Software Engineer\" \\\n  --location \"San Francisco, CA\" \\\n  --remote \\\n  --max-applications 10 \\\n  --dry-run\n\n# With profile file\npython job_search_apply.py \\\n  --profile ~/job_profile.json \\\n  --title \"Backend Engineer\" \\\n  --platforms linkedin,indeed \\\n  --auto-apply\n\n# Production mode (actual applications)\npython job_search_apply.py \\\n  --profile ~/job_profile.json \\\n  --title \"Senior Developer\" \\\n  --no-dry-run \\\n  --require-confirmation\n\nWorkflow Steps\nStep 1: Profile Configuration\n\nLoad the user's profile from the template or create programmatically:\n\nfrom job_search_apply import ApplicantProfile\n\nprofile = ApplicantProfile(\n    full_name=\"Jane Doe\",\n    email=\"jane@example.com\",\n    phone=\"+1234567890\",\n    resume_path=\"~/Documents/resume.pdf\",\n    linkedin_url=\"https://linkedin.com/in/janedoe\",\n    years_experience=5,\n    authorized_to_work=True,\n    requires_sponsorship=False\n)\n\nStep 2: Define Search Parameters\nfrom job_search_apply import JobSearchParams, JobPlatform\n\nsearch_params = JobSearchParams(\n    title=\"Software Engineer\",\n    location=\"Remote\",\n    remote=True,\n    experience_level=\"mid\",\n    job_type=\"full-time\",\n    salary_min=100000,\n    platforms=[JobPlatform.LINKEDIN, JobPlatform.INDEED]\n)\n\nStep 3: Run Automated Application\nfrom job_search_apply import auto_apply_workflow\n\nresults = auto_apply_workflow(\n    search_params=search_params,\n    profile=profile,\n    max_applications=10,\n    min_match_score=0.75,\n    dry_run=False,\n    require_confirmation=True\n)\n\nIntegration with Clawdbot\nUsing as a Clawdbot Tool\n\nWhen installed as a Clawdbot skill, invoke via natural language:\n\nExample prompts:\n\n\"Find and apply to Python developer jobs in San Francisco\"\n\"Search for remote backend engineer positions and apply to the top 5 matches\"\n\"Auto-apply to senior software engineer roles with 100k+ salary\"\n\"Apply to jobs at tech startups on Wellfound\"\n\nThe skill will:\n\nParse the user's intent and extract search parameters\nLoad the user's profile from saved configuration\nSearch across specified platforms\nAnalyze job compatibility\nGenerate tailored cover letters\nSubmit applications (with confirmation if enabled)\nReport results and track applications\nConfiguration in Clawdbot\n\nAdd to your Clawdbot configuration:\n\n{\n  \"skills\": {\n    \"job-auto-apply\": {\n      \"enabled\": true,\n      \"profile_path\": \"~/job_profile.json\",\n      \"default_platforms\": [\"linkedin\", \"indeed\"],\n      \"max_daily_applications\": 10,\n      \"require_confirmation\": true,\n      \"dry_run\": false\n    }\n  }\n}\n\nFeatures\n1. Multi-Platform Search\nSearches across all major job platforms\nUses official APIs when available\nFalls back to web scraping for platforms without APIs\n2. Smart Matching\nAnalyzes job descriptions for requirement matching\nCalculates compatibility scores\nFilters jobs based on minimum match threshold\n3. Application Customization\nGenerates tailored cover letters per job\nCustomizes resume emphasis based on job requirements\nHandles platform-specific application forms\n4. Safety Features\nDry Run Mode: Test without submitting applications\nManual Confirmation: Review each application before submission\nRate Limiting: Prevents overwhelming platforms\nApplication Logging: Tracks all submissions for reference\n5. Form Automation\n\nAutomatically fills common application fields:\n\nPersonal information\nWork authorization status\nEducation and experience\nSkills and certifications\nScreening questions (using AI when needed)\nAdvanced Usage\nCustom Cover Letter Templates\n\nCreate a template with placeholders:\n\nDear Hiring Manager at {company},\n\nI am excited to apply for the {position} role. With {years} years of \nexperience in {skills}, I believe I would be an excellent fit.\n\n{custom_paragraph}\n\nI look forward to discussing how I can contribute to {company}'s success.\n\nBest regards,\n{name}\n\nApplication Tracking\n\nResults are automatically saved in JSON format with details on each application submitted, including timestamps, match scores, and status.\n\nBundled Resources\nScripts\njob_search_apply.py - Main automation script with search, matching, and application logic\nReferences\nplatform_integration.md - Technical documentation for API integration, web scraping, form automation, and platform-specific details\nAssets\nprofile_template.json - Comprehensive profile template with all required and optional fields\nSafety and Ethics\nImportant Guidelines\nTruthfulness: Never misrepresent qualifications or experience\nGenuine Interest: Only apply to jobs you're actually interested in\nRate Limiting: Respect platform limits and terms of service\nManual Review: Consider enabling confirmation mode for quality control\nPrivacy: Secure storage of personal information and credentials\nBest Practices\nStart with dry-run mode to verify behavior\nSet reasonable limits (5-10 applications per day)\nUse high match score thresholds (0.75+)\nEnable confirmation for important applications\nTrack results to optimize strategy"
  },
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    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/Veeky-kumar/job-auto-apply",
    "publisherUrl": "https://clawhub.ai/Veeky-kumar/job-auto-apply",
    "owner": "Veeky-kumar",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
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