by neonwatty · Claude Skill · ★ 56
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Job Apply Plugin for Claude Code AI-powered job application assistant that automatically fills out job applications on LinkedIn Easy Apply, Greenhouse, Ashby, Lever, Rippling, and Workday using browser automation. Skills Features Job Apply () One-time profile setup: Extract your information from a resume (PDF, DOCX, or TXT) Multi-platform support: LinkedIn Easy Apply, Greenhouse, Ashby, Lever, Rippling, Workday Dual-tool architecture: Chrome MCP for authenticated sites, Playwright MCP for form filling and file uploads Smart field mapping: Automatically matches your profile to form fields Safety first: Never submits without your explicit confirmation Resume storage: Profile saved locally for reuse across applications Job Search () Smart keyword suggestions: Auto-generates search terms from your resume Connection insights: Finds jobs at companies where you have connections Hiring manager discovery: Identifies jobs with hiring managers listed Auto-inferred filters: Location and experience level from your profile Resul
| Stars | 56 |
| Forks | 14 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 77.9193087627725/100 |
| Last Updated | 2026-07-19 |
| Created | 2026-01-05 |
| Platforms | browser, claude-code, python |
| Est. Tokens | ~6k |
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job-apply-plugin is AI-powered job application assistant for Claude Code - fills LinkedIn, Greenhouse, Ashby, and Workday applications. It is categorized as a Claude Skill with 56 GitHub stars.
job-apply-plugin is primarily written in Python. It covers topics such as ai-assistant, browser-automation, claude-code.
You can find installation instructions and usage details in the job-apply-plugin GitHub repository at github.com/neonwatty/job-apply-plugin. The project has 56 stars and 14 forks, indicating an active community.
job-apply-plugin is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to job-apply-plugin on Agent Skills Hub include the-startup, digital-marketing-pro, lazy-bird. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.