Analysis updated 2026-05-18
Practice technical interview questions across programming, cloud, and database topics before job interviews.
Test your knowledge of specific skills like Python, JavaScript, Git, or REST APIs with realistic multiple-choice questions.
Review and refresh your understanding of tools and frameworks you haven't used recently.
Learn from community-contributed answers and explanations for a wide range of professional skills.
| ebazhanov/linkedin-skill-assessments-quizzes | d2l-ai/d2l-en | vectifyai/pageindex | |
|---|---|---|---|
| Stars | 28,733 | 28,774 | 28,663 |
| Language | Python | Python | Python |
| Setup difficulty | easy | moderate | easy |
| Complexity | 1/5 | 3/5 | 3/5 |
| Audience | developer | researcher | developer |
Figures from each repo's GitHub metadata at analysis time.
This repository is a community-maintained reference of questions and answers for LinkedIn's Skill Assessments quizzes. LinkedIn used to let members take short multiple-choice tests on technical and office topics and, if they passed, show a badge on their profile saying they were in the top percentile for that skill. People across the internet collected the questions they saw and pooled them here so others could study (or just look up) the answers. The README opens with a notice that LinkedIn discontinued these assessments in December 2023, so the repo is now a study archive rather than an active cheat sheet. There is also a disclaimer that the maintainers are not responsible for how anyone uses the content, and a warning that they never solicit donations. The content itself is a very long table of skill assessments, one row per topic, with links into individual Markdown quiz files inside the repository. The repo covers a wide range, including programming languages like JavaScript, Python, Java, Go, JavaScript libraries like React and jQuery, web topics like HTML, backend topics like REST APIs, MongoDB and AWS Lambda, version control with Git, office software like PowerPoint and Excel, and adjacent topics like machine learning and Photoshop. Many of the quizzes have been translated by contributors into Spanish, French, Italian, Hindi, German, and other languages, and the table tracks translation status alongside question and answer counts. The project has more than 1,500 contributors. It has a Discord server and a Telegram channel for discussion, and points to companion playground sites, including MD2Practice and a web app called Skill Assessments Quizzes, that let you take a quiz interactively in your browser before attempting it elsewhere. There is also a terminal-based version. The repository invites pull requests with new questions or improved answers and asks contributors to add an explanation or reference link to each answer so readers can learn the underlying topic rather than just memorising the result. The repo also participates in the Hacktoberfest open-source event each October.
Community-maintained collection of practice questions and answers for technical skill assessments across 100+ topics, originally built for LinkedIn's skill quizzes.
Mainly Python. The stack also includes Markdown, Python, JavaScript.
Use it freely, but if you run it as a network service, you must release your changes to users. Strongest copyleft for SaaS.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.