Engineering Nba Data

comeonoliver/engineering-nba-data

Extracts, transforms, and analyzes NBA statistics using the nba_api Python library. Use when working with NBA player stats, team data, game logs, shot charts, league statistics, or any NBA-related data engineering tasks. Supports both stats.nba.com endpoints and static player/team lookups.

4076k tokens

context cost

the whole folder, loaded on every use

302

files

instructions only

copies elsewhere

how many repositories repackaged it

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/ComeOnOliver/skillshub --skill engineering-nba-data

Repackaged in 1 other repositories

same content, different owner

aiskillstore/marketplace open on GitHub →

How to use it

Copy the folder

Take comeonoliver/engineering-nba-data from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.