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.
Enables evidence-grounded resume tailoring by generating ATS-readable LaTeX/PDF resumes from a user-curated experience bank, with every bullet traceable to evidence and inferred wording flagged for user approval.
Automatically generates and updates CVs/resumes by aggregating data from git commits, Jira tickets, Credly certifications, and existing PDF resumes, with LaTeX formatting support.
Enables parsing a master resume, analyzing job descriptions for ATS/match scores, generating truthful tailored resumes, tracking applications, and producing PDF reports through Claude Desktop.
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.
