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Parse documentations and help developers build an understanding of the tools they're using. DocsLLM is an early stage project with the purpose to help coders effectively parse large documentations while making sure they acquire the deep and fundamental knowledge about the tools they are using. DocsLLM is specifically designed for coders that want to improve their skillset and portfolio by building their own projects.
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.