cv-sync-audit

Audit CV files for synchronization across translations, PDFs, and API configurations.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/CarlosCaPe/dataqbs_IA --skill cv-sync-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cv-sync-audit
Source: https://github.com/CarlosCaPe/dataqbs_IA/tree/main/projects/dataqbs_site/.claude/skills/cv-sync-audit
Command: npx skills add https://github.com/CarlosCaPe/dataqbs_IA --skill cv-sync-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill prevents inconsistencies and errors by ensuring that all versions and representations of your CV (source code, translations, PDFs, API data) are perfectly synchronized, avoiding embarrassing mistakes in public-facing materials.

Core Features & Use Cases

  • Cross-referencing: Compares key data points across multiple files (cv.ts, translation files, PDF generation scripts, API configurations).
  • Automated Validation: Runs a Python script to catch most discrepancies automatically.
  • Manual Checklist: Provides a detailed step-by-step guide for manual verification of critical elements like counts, indices, dates, and employment types.
  • Use Case: Before deploying an update to your portfolio website, run this audit to confirm that a new job entry in your main CV data file is correctly reflected in the English and Spanish translations, the generated PDF, and the chatbot's knowledge base.

Quick Start

Run the automated audit script to check for CV synchronization issues.

Frequently Asked Questions about cv-sync-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check CV data consistency across multiple translation files?

You can audit CV synchronization by running an automated Python script that cross-references key data points across source files, translations, and API configurations to catch discrepancies automatically.

What is the best way to verify employment dates and company names in a portfolio?

The best way is a combined approach using automated Python scripts for initial checks, followed by a manual checklist to verify critical elements like dates, company names, and employment types across files.

Do I need Python to audit my CV files for synchronization errors?

Yes, Python is required to execute the automated validation scripts that cross-check your CV source data, translations, and API configurations for synchronization errors.

When should I run a CV synchronization audit?

Run a CV synchronization audit before deploying portfolio updates to ensure new job entries are correctly reflected across translations, generated PDFs, and API configurations.

Can automated tools catch all CV translation inconsistencies?

Automated scripts catch most discrepancies, but manual verification is required to ensure detailed accuracy for counts, indices, dates, and employment types across project assets.