Enables users to tailor a one-page LaTeX CV to a job posting by fetching relevant facts from a YAML file, rendering a LaTeX document from id-based selections, and compiling it to PDF, without wasting tokens on repetitive CV reads or compiler logs.
Automatically generates and updates CVs/resumes by aggregating data from git commits, Jira tickets, Credly certifications, and existing PDF resumes, with LaTeX formatting support.
Generates professional PDF resumes using LaTeX templates through natural language descriptions. Supports 9 professional templates, AI-powered resume tailoring, and organized folder management for job applications.
A privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.
Automates resume tailoring by formatting job descriptions, using AI to customize resumes for specific positions, and saving both jobs and tailored resumes to organized folders.
Enables Claude to parse CVs, search job boards (Remotive, Arbeitnow, Adzuna, Greenhouse/Lever), tailor resumes and cover letters, and prepare application packages with direct apply links—without ever auto-submitting. It runs 100% locally and free, storing jobs and applications as JSON files.
