lofy-career

Lofy-career is an intelligent job search management skill designed for the Lofy AI assistant. It provides a comprehensive workflow to streamline professional job hunting by acting as a personal career agent. The skill integrates application tracking with data-driven insights, ensuring that users maintain a high-quality, strategic approach to their job search rather than relying on volume alone. By managing the full lifecycle of a job application—from initial discovery to final offer evaluation—this tool helps candidates stay organized, professional, and well-prepared for technical and behavioral interviews.

• Automated pipeline management using local data storage in data/applications.json to track application status, source, contact info, and follow-up schedules.

• Context-aware resume tailoring that parses job descriptions to extract key requirements and maps them against the user’s career profile to suggest specific bullet point improvements.

• Proactive interview preparation by conducting automated web searches to gather company news, product launches, and technical context, alongside generating mock questions based on STAR methodology.

• Intelligent follow-up management that suggests email drafts for post-application, post-phone screen, and post-technical interview stages, including ghosting pattern detection.

• Natural language processing for status updates, allowing users to report outcomes or interview scheduling through simple voice or text commands like "heard back from company" or "got an offer."

• Strategic analytics to evaluate response rates, identify successful job types, and optimize keyword usage across resumes.

• Users should keep the career.md profile updated to ensure the resume tailoring engine provides relevant mapping for new job descriptions.

• Always check the existing JSON application file before adding new entries to avoid duplicates.

• The AI agent will prioritize quality over quantity, flagging users if the response rate falls below 10% after 20 applications to suggest a change in strategy.

• Interview prep is highly customized; the system is programmed to prioritize fresh research over generic templates to ensure credibility.

• Data is stored locally in standard JSON format, enabling easy backup and portability across different OpenClaw-compatible environments.