ebazhanov/linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python,...

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Summary Information

Updated 2 minutes ago
Added to GitGenius on September 1st, 2026
Created on July 13th, 2019
Open Issues & Pull Requests: 20 (+0)
GitHub issues: Enabled
Number of forks: 12,891
Total Stargazers: 28,824 (+0)
Total Subscribers: 356 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.4 days
Mean response time: 98.6 days
90th percentile: 313.3 days
Tracked items: 100

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 4% of issues opened in the past year have been closed. Three people close 96% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 5
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 691 days
Stale 30+ days: 5
Stale 90+ days: 5

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • good first issue (80)
  • help wanted (78)
  • hacktoberfest-accepted (37)
  • hacktoberfest (34)
  • documentation (2)
  • enhancement (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

LinkedIn Skill Assessments Quizzes is a reference collection of quiz questions and answers covering technical and professional skills assessments.

The repository addresses the need for study material and reference content for skill assessments across multiple domains including programming languages, cloud platforms, and professional tools. It compiles questions and answers that were historically part of LinkedIn's skill assessment program, organized by topic with explanations and reference links to support learning. The collection spans areas such as AWS Lambda, REST APIs, JavaScript, React, Git, HTML, jQuery, MongoDB, Java, Go, Python, and machine learning, among others.

This resource suits developers and professionals preparing to validate their knowledge in specific technical areas or seeking to review concepts they may not fully understand. The repository provides multilingual support with translations available in Spanish, French, Italian, Hindi, and German. Those adopting this material should note that it functions as a study and reference tool rather than an official assessment platform, and should use it to deepen understanding of concepts rather than as a substitute for hands-on practice.

The project maintains active community engagement through multiple contribution channels and welcomes additions with explanations and reference links. Development activity centers on expanding the question bank across different skill domains, supporting translations into additional languages, and providing supplementary tools including web applications for practice and terminal-based quiz interfaces. The repository includes a Discord community for discussion and peer interaction around quiz content and skill endorsements.