{"repo":"henriquesantanati/linkedin-profile-score","free":true,"listed":false,"github":"https://github.com/henriquesantanati/linkedin-profile-score","clone":"git clone https://github.com/henriquesantanati/linkedin-profile-score.git","description":"Audit and score your LinkedIn profile from its native CSV export. Actionable recommendations to improve recruiter visibility.","language":null,"stars":36,"topics":["ai-skill","career","claude","linkedin","llm-tool","profile-optimization","recruiter","scoring"],"license":"MIT","category":"mcp-servers","readme_excerpt":"LinkedIn Profile Score Scoring criteria inspired by Nicole Barra's guide on LinkedIn profile optimization. A skill that audits your LinkedIn profile and produces a score with actionable recommendations to improve recruiter visibility and hiring chances. Analyzes your exported LinkedIn data (native CSV format) against recruiter search behavior, keyword optimization best practices, and credibility signals. Produces a 0-100 score with per-section breakdown and specific fixes ranked by impact. How It Works 1. Export your LinkedIn data (Settings → Data Privacy → Download your data) 2. Select \"Download larger data archive\" and wait for the email (24-72h) 3. Unzip the downloaded file 4. Point this skill at the unzipped folder containing the CSV files 5. Receive your score, section-by-section analysis, and prioritized improvements The skill reads LinkedIn's native CSV export directly. Your data stays local — it is processed by the LLM in your session and is not stored or shared externally. Installation Claude Code Clone this repository and register it as a skill: Then in Claude Code, add the skill path to your project configuration. Claude.ai (Projects) 1. Download this repository as a ZIP 2. In your Claude Project, upload SKILL.md as a project file 3. Optionally upload references/scoring rubric.md and references/manual checklist.md for more detailed analysis Other LLMs Upload SKILL.md along with references/scoring rubric.md and references/manual checklist.md as context. Then provide","default_branch":null,"files":null,"tree":[],"storefront":"/r/henriquesantanati","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/henriquesantanati/linkedin-profile-score/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}