What problem does it solve?
Turning a resume/CV into a job-specific, on-tone cover letter usually requires slow manual reformatting, careful matching of experience to requirements, and guessing the company’s communication style. This Skill automates that workflow end to end, producing a polished Markdown letter sized for the application channel.
Core Features & Use Cases
- One-shot intake with smart missing-data handling: asks once for your CV/background if you didn’t provide it, and gathers lightweight inline profile details only when repo scanning yields nothing useful.
- Multi-format CV ingestion + extraction: supports CV/resume inputs as file paths or pasted content in PDF, Markdown/plain text, and LaTeX, then extracts readable text for synthesis.
- Repo-aware customization: scans the current repository for additional career signals (projects, bios, notes, PDFs) to fill gaps without writing the extracted profile to disk.
- Channel-aware output formats: generates a standard cover letter (structured prose, length/wording rules) or a LinkedIn Easy Apply short note (plain text, no Markdown).
- Quality gate and anti-template enforcement: runs grammar checks, banned-phrase filtering, rhythm/variety checks, and re-verifies claims trace back to extracted sources.
Quick Start
Use the skill to generate a tailored cover letter by providing a job posting and either your CV/resume file path or pasted CV text, and let it scan the repo for supplemental context if available.
