tool_cv_corpus

A schema-driven, LLM-assisted engine that compiles a graph-of-atoms career corpus into job-targeted CVs, resumes, and cover letters.

Why

Most resume tooling treats a CV as a document you edit directly. That makes every new target a rewrite, loses the sourcing behind each bullet, and mixes one-off prose into data you'd otherwise want to re-use. tool_cv_corpus inverts the model:

1. The corpus is your structured, sourced career data: roles, organizations, achievements, skills, testimonials, and the provenance of every claim.
2. A target is a specific job posting you are applying to.
3. The engine resolves the corpus against the target, scoring claims by fit, applying visibility and redaction rules, and emits a format-agnostic RenderedResume.
4. Pluggable renderers turn that intermediate into PDF (Typst), JSON Resume, DOCX, or HTML.

Quick links

• Getting started
• Plugin authoring
• Schema reference
• Pipeline overview

Status

Version 0.1.0 ships the schema, CLI surface, validator, and the default renderer/ingester/LLM plugin set. The claim-scoring and target-aware generation phases are stubs; contributions welcome via the plugin authoring guide.