This is an adaptive learning system that breaks down topics into a sequence of articles and adjusts each next piece based on your actual feedback. It maintains a learning directory with numbered markdown files, reads your comments from the previous article, and shifts depth or angle accordingly. If you say you didn't understand supply and demand curves, it drops the abstraction and adds examples instead of piling on new concepts. If you want application, it pivots to cases. The whole thing runs on explicit feedback loops rather than guessing where you are. It's built for the dontbesilent framework and can turn other dbskill methods into sequential courses, but the core mechanic is just read feedback, adjust gradient, write next file.
npx skills add https://github.com/dontbesilent2025/dbskill --skill dbs-learning