ai-job-app

Propose reviewable structured edits to a local master resume from a user conversation, optionally using one job or a server-resolved local market sample as wording and prioritization context.

Classify how a trusted master resume covers a fixed list of aggregated market skills using verifiable resume paths and confirmed fact IDs.

Classify how a trusted resume covers a fixed set of job requirements using explicit resume paths and confirmed fact IDs.

Generate a focused interview preparation plan from aggregated local job-market statistics and, when available, confirmed resume facts. Use when a candidate requests interview skill priorities, personal capability gaps, preparation actions, project stories, or practice questions for the jobs stored in this app.

Extract clean, source-grounded job, company, and business-registration fields from a noisy BOSS job-detail page captured as plain text.

Evaluate a job posting against a confirmed resume and stated job preferences, producing evidence-backed fit dimensions, hard constraints, strengths, gaps, confidence, and a recommendation. Use when ranking jobs or opening a job's match analysis.

Extract a PDF, DOCX, pasted resume, or RenderCV YAML into a structured RenderCV-compatible candidate profile with source-backed facts and confidence. Use when importing, normalizing, or validating a resume before job matching or tailoring.

Generate one concise Chinese greeting for a recruiter using a target job and confirmed resume facts. Use when the user wants an opening message for BOSS or another direct recruiter conversation.