job-hunt-tracker_skill

Overview

This skill is an AI-powered job hunt tracker that manages applications, interviews, offers, follow-ups, and job search stats locally on your machine. It provides an application pipeline, interview scheduler, offer comparator, rejection analyzer, and gamified progress tracking. All data stays local—no network calls or external servers are used.

How this skill works

It logs and updates application records, interview events, offers, follow-up reminders, and aggregated stats in a local directory. You can add or update entries by natural commands (e.g., "applied at Google", "got interview from Flipkart", "log offer 15 LPA"). Built-in features generate suggested emails, weekly reports, offer comparisons, and rejection insights without sending data off-device.

When to use it

• Log a new application: "applied at [company] for [role]"
• Schedule or view interviews: "interview at [company] on [date]"
• Record offers or compare multiple offers: "compare Razorpay vs Ola"
• Set or act on follow-ups and reminders: "follow up on Google application"
• Analyze rejections and track pipeline performance: "rejected from [company]"

Best practices

• Keep profile settings current (role, target salary, locations) to get relevant suggestions
• Add source, salary expectations, and short notes for each application to improve analytics
• Set follow-up reminders for first and second touches (7 and 14 days) to maintain momentum
• Log interview outcomes and stages to enable useful rejection analysis and tailored prep
• Use bulk logging when submitting multiple applications in one session to save time

Example use cases

• Quickly log a single application and set a follow-up: "applied at Razorpay for Full Stack"
• Schedule and track an upcoming interview with automatic reminders: "interview at Flipkart on Feb 25 2pm"
• Record an offer and run a side-by-side comparator to decide which to accept
• Get a weekly summary of activity, response rate, and next-week goals: "weekly report"
• Analyze rejection patterns to identify weak stages and targeted practice areas