Overview
Add a JSON schema file and a complete example file to make the CV data structure easy for LLMs to understand and work with.
Deliverables
docs/cv-data-schema.json: Complete (autogenerated) schema defining all fields, types, and constraintsdocs/examples/full-example.json: One realistic, complete CV example showing all fields in contextdocs/LLM-create-CV-instructions.md: Prebuild markdown file with instructions for the LLM and linking to docs/cv-data-schema.json and docs/examples/full-example.json (LLM should check locally and if not found use http RAW Links to the files)- Consider adding optional
/api/export/filename-template endpoint (or similar) that returns pre-filled template values. Agentic LLMs could snack 🍫 that data and use it to build a CV as well.
Purpose
Enable LLMs to:
- Map existing CVs to the cv-manager JSON format
- Understand the data structure from scratch
- Generate valid CV data for import/export workflows
Enables user to:
- Copy and paste ready instructions to any LLM (Gemini, ChatGPT,...)
Overview
Add a JSON schema file and a complete example file to make the CV data structure easy for LLMs to understand and work with.
Deliverables
docs/cv-data-schema.json: Complete (autogenerated) schema defining all fields, types, and constraintsdocs/examples/full-example.json: One realistic, complete CV example showing all fields in contextdocs/LLM-create-CV-instructions.md: Prebuild markdown file with instructions for the LLM and linking todocs/cv-data-schema.jsonanddocs/examples/full-example.json(LLM should check locally and if not found use http RAW Links to the files)/api/export/filename-templateendpoint (or similar) that returns pre-filled template values. Agentic LLMs could snack 🍫 that data and use it to build a CV as well.Purpose
Enable LLMs to:
Enables user to: