ai-job-hunter-proAI-powered job search assistant with RAG-based resume-JD matching, automated application pipeline, and status tracking. Use when the user wants to search for...
Install via ClawdBot CLI:
clawdbot install meteoryf/ai-job-hunter-proGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://github.com/YourUsername/ai-job-hunter-pro.gitAudited Apr 17, 2026 · audit v1.0
Generated May 6, 2026
A user uploads their resume and asks the AI to find jobs that match their skills and experience. The system uses RAG to compare the resume against job descriptions and returns ranked results with match scores and missing skills.
After selecting matched jobs, the user instructs the agent to auto-apply. The system generates tailored cover letters and optimizes resume highlights for ATS, first in dry-run mode for review, then submits upon confirmation.
A user wants to track the progress of their job applications. The agent queries the local tracker database and presents a daily report showing status flow from Discovered to Applied, Screening, Interview, and Offer/Rejected.
A user provides feedback on job recommendations by liking or disliking specific jobs. The agent adjusts the RAG query vectors to refine future search results, improving relevance over time.
A user preparing for a specific job application asks the agent to optimize their resume for ATS scanning and generate a tailored cover letter. The agent analyzes the job description and produces keyword-optimized content.
Individuals pay a monthly or yearly fee to access the AI agent for unlimited job matching, auto-applications, and tracking. Revenue comes from recurring subscriptions.
Companies purchase licenses to deploy the tool for their recruitment teams to automate candidate matching and application processing. Revenue from per-seat or enterprise contracts.
Basic features (limited job searches, manual applications) are free. Advanced features like auto-apply, ATS optimization, and detailed analytics require a premium subscription.
💬 Integration Tip
To integrate, first run the setup script to install dependencies and initialize the RAG database, then configure the user profile and resume paths. Use the provided CLI commands to trigger workflows; ensure environment variables for platform API keys are set if using live platforms.
Scored Jun 29, 2026
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