omar-abo-el-maaty

Cv Job Market Research — Development skill for Claude Code

Development community

A Claude Skill that turns a CV into a structured, verified, bilingual Excel research file of companies to target — real web research, fit scoring based on your actual skills (not generic "hires fresh.

How to install Cv Job Market Research

This entry records only its repository, not the path inside it, so there is no exact command to give. Open omar-abo-el-maaty/cv-job-market-research and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Cv Job Market Research does

A Claude Skill that turns a CV into a structured, verified, bilingual Excel research file of companies to target — real web research, fit scoring based on your actual skills (not generic "hires fresh grads"), per-company salary estimates, and an actionable shortlist.

Alternatives in Development

  • Generic Extract Skill — You are an Autonomous 3D Technical Artist Agent 14.1k ★
  • Market Segments — Identify 3-5 customer segments with JTBD and product fit 7.8k ★
  • Document SKILLs — Claude Code and Codex SKILLs for PDF, Excel, Word, and PowerPoint manipulation — extraction, forms, formulas 153 ★

README

CV Job Market Research (Claude Skill)

Turn a CV into a structured, multi-region, bilingual-ready Excel research file of companies worth applying to — with real web research behind every row, not guesses.

Upload a CV (or just describe your target role), and this skill builds a professional spreadsheet covering:

  • Companies you already have in mind (if you give it a list)
  • An expanding search radius: your city → your country → remote-worldwide → your nearest relocation hub → further abroad
  • A fit score tied to your actual skills and projects, not generic "do they hire fresh grads"
  • Per-company salary estimates
  • A ready-to-use shortlist with a concrete next action for each top match
  • Full Arabic and/or English output, built correctly from the start

Why this exists

Generic "find me companies to apply to" prompts tend to produce shallow, unstructured lists — a handful of company names with no verification, no way to compare them, and no sense of which ones are actually worth your time. This skill turns that into a repeatable, structured process: real per-company research, a consistent scoring method, and a spreadsheet you can filter, sort, and actually work from.

It was built and refined from real, repeated use — not written speculatively — including a full pass that added a fit-to-CV scoring column, restructured sheets after real feedback, and a deep-verification step after the first-pass research turned out to contain outdated or unconfirmed company details.

What it produces

A workbook (or two, if you request both languages) with three sheets:

Sheet Purpose
Quick Summary One row per company — name, source, region, fit, salary, primary contact. Built for fast filtering.
Shortlist / Best Matches Only the strongest matches, ranked, each with a concrete next step ("apply via X," "follow on LinkedIn, don't apply yet — here's why").
All Companies The full dataset: website, address, LinkedIn, social med