Maps the AI skills shown in your public GitHub projects, scored from the code itself, not from stars or followers.
What it does
AI-Atlas reads the AI projects in a developer's public GitHub and judges what was actually built, not which libraries were imported or how many stars a repo has. Each project is scored on a 7-part rubric, and every score points to the files behind it, so you can check exactly why it landed where it did. The results form an Atlas: a map of demonstrated skill across six AI domains, with an overall score and a place on the global and country leaderboards. Claim your Atlas and you get a free roadmap: 3–5 concrete steps, ranked by impact, for the project that can lift your score the most. You can export it or turn it into GitHub issues. Mapping a profile is free at getaiatlas.com.
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