# Send Job Auto Apply to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- 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.
## Suggested prompts
### New install

```text
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.
```
### Upgrade existing

```text
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.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "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",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/job-auto-apply",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=job-auto-apply",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "platform_integration.md",
      "profile_template.json",
      "SKILL.md",
      "job_search_apply.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/job-auto-apply"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/job-auto-apply",
    "downloadUrl": "https://openagent3.xyz/downloads/job-auto-apply",
    "agentUrl": "https://openagent3.xyz/skills/job-auto-apply/agent",
    "manifestUrl": "https://openagent3.xyz/skills/job-auto-apply/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/job-auto-apply/agent.md"
  }
}
```
## Documentation

### 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:

LinkedIn (including Easy Apply)
Indeed
Glassdoor
ZipRecruiter
Wellfound (AngelList)

### 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

### 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
)

### 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
Generate tailored cover letters
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
    }
  }
}

### 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)

### 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.

### 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

### Important Guidelines

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
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: Veeky-kumar
- Version: 1.0.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-30T16:55:25.780Z
- Expires at: 2026-05-07T16:55:25.780Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/job-auto-apply)
- [Send to Agent page](https://openagent3.xyz/skills/job-auto-apply/agent)
- [JSON manifest](https://openagent3.xyz/skills/job-auto-apply/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/job-auto-apply/agent.md)
- [Download page](https://openagent3.xyz/downloads/job-auto-apply)