Cv Job Market Research
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…
Install: git clone https://github.com/omar-abo-el-maaty/cv-job-market-research
Install
git clone https://github.com/omar-abo-el-maaty/cv-job-market-researchInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →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sheets after real feedback, and a deep-verification step after the first-pass research turned out to contain outdated or unconfirmed company details.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 media, services, tech focus, AI/specialty flag, fit reasoning, every email found (HR, main, manager, owner where available), current openings, internship requirements, salary range, and notes. |
Every sheet ships with a bold frozen header, autofilter, zebra striping, color-coding by region, sensible column widths, and correct right-to-left/left-to-right formatting for Arabic vs. English — no blank spacer rows, no half-finished formatting.
How it works
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