job-jagger

Identificér og fjern AI-skrivemønstre fra dansk tekst for at gøre den mere naturlig og menneskelig. Brug når tekst lyder robotagtigt, mekanisk eller AI-genereret.

Use when reviewing or rewriting a Danish job application (ansøgning) before sending. Run after drafting, before PDF generation. Catches cover-letter-specific AI patterns that humanizer-da misses.

Identify and remove AI writing patterns from text to make it sound natural and human. Use when reviewing or rewriting content that sounds robotic, mechanical, or AI-generated.

First-time setup for job-jagger. Use when KNOWLEDGE-BASE is missing or empty. Collects the user's background, compiles employment-history.md, cv-general.md, and cv-general-en.md, and sets up all required tracking files.

Create a tailored Danish or English job application (CV + cover letter) from a job listing URL. Fetches the listing, analyzes match, creates folder, writes CV and ansøgning, runs humanizer, generates styled PDFs.

Use when helping to boost a LinkedIn post as a paid promotion. Covers who can boost, which post to pick, how to configure targeting and budget, objectives, and tips for better performance. Use after a post has been published and is showing organic engagement.

Use when automating LinkedIn profile edits via Chrome DevTools MCP + Playwright MCP - adding/editing experience entries, skills, open-to-work settings, or deleting entries. LinkedIn is a React SPA with specific navigation and form-filling quirks that break standard Playwright patterns.

Use when sending emails via outlook.office.com using Playwright MCP. Covers compose flow, body injection, file attachment, and how to minimize context usage across multiple emails.