ebazhanov/linkedin-skill-assessments-quizzes

★ 28,733PythonAudience · developerComplexity · 1/5ActiveLicenseSetup · easy

Mindmap

mindmap
  root((repo))
    What it does
      Practice questions
      Answer explanations
      Multiple topics
    Content coverage
      Programming languages
      Cloud and databases
      Tools and frameworks
      Office software
    Use cases
      Interview prep
      Skill testing
      Knowledge review
    Formats
      Markdown files
      Web app
      Terminal version
    Community
      1500+ contributors
      Multiple languages
      Translations available

mindmap root((repo)) What it does Practice questions Answer explanations Multiple topics Content coverage Programming languages Cloud and databases Tools and frameworks Office software Use cases Interview prep Skill testing Knowledge review Formats Markdown files Web app Terminal version Community 1500+ contributors Multiple languages Translations available

Things people build with this

USE CASE 1

Practice technical interview questions across programming, cloud, and database topics before job interviews.

USE CASE 2

Test your knowledge of specific skills like Python, JavaScript, Git, or REST APIs with realistic multiple-choice questions.

USE CASE 3

Review and refresh your understanding of tools and frameworks you haven't used recently.

USE CASE 4

Learn from community-contributed answers and explanations for a wide range of professional skills.

Tech stack

MarkdownPythonJavaScriptGit

Getting it running

Difficulty · easy Time to first run · 5min

Use it freely, but if you run it as a network service, you must release your changes to users. Strongest copyleft for SaaS.

In plain English

This repository is a community-maintained collection of LinkedIn's "skill assessment" quizzes, the multiple-choice tests LinkedIn offered to certify that a member knew, say, JavaScript or Python, together with answers contributed by other users. The README notes that LinkedIn removed these assessments in December 2023, so the repository now functions as a study resource rather than a way to pass live tests. The content itself is a long table of contents pointing into folders for each skill, with each folder containing a Markdown file of questions and answers. The description lists example topics covered, including aws-lambda, rest-api, JavaScript, React, Git, HTML, jQuery, MongoDB, Java, Go, Python, machine-learning, and PowerPoint. Many quizzes have translations, the README mentions Spanish, French, Italian, Hindi, and German, and individual rows track which quizzes still need updating. The README also links to companion web apps and a terminal tool called Kodyfire that let you practice the questions interactively, and the project has Telegram and Discord communities and an active contributor base. Someone would use this to revise for technical interviews or self-test their knowledge on a specific topic. The README's disclaimer says the content is provided for informational and educational purposes only and that any use of it is the user's own responsibility. The repository's primary language is reported as Python. The full README is longer than what was provided.

Copy-paste prompts

Prompt 1

I want to prepare for a JavaScript interview. Show me the top 10 JavaScript questions from this repository and explain the trickiest ones.

Prompt 2

Generate a mock interview using 5 random Python questions from this skill assessment collection, then grade my answers.

Prompt 3

What Git concepts are covered in this repository's assessments? Create a study guide from the questions and answers.

Prompt 4

I'm learning AWS. Pull the AWS Lambda questions from this repo and create a flashcard deck with explanations.

Prompt 5

Show me the most commonly missed questions across all topics in this assessment collection and explain why they're tricky.

Open on GitHub → Explain another repo

Generated 2026-05-21 · Model: sonnet-4-6 · Verify against the repo before relying on details.