SuperAPI AI Directory

Skills

Find an Agent Skill for your task. Read the guide and copy the install command.

Updated 10-19 00:11

Data & analytics

16,561 results

build-ml-pipeline

Declare the pipeline from data source to predictor as a skrub DataOps graph. Stateless steps use `.skb.apply_func`. Stateful steps use `.skb.apply`. After the graph exists, attach the locked splitter and any non-default score. No fit, tune, persistence, or `skore.evaluate`. TRIGGER when writing or editing any link from data source to predictor (loaders, preprocessing, features, composition, the final estimator), including a pure-Python function on that path, a step added or reordered, a bare `sklearn.Pipeline` as the top-level, or a request to build a pipeline, classifier, or regressor. HOW TO USE: before the first declarative line and on every structural edit. Read the stops and emit Pre-flight before code. Confirm new names with `python -m skore_skills api get`.

Data & analytics144 installs

quant-buddy-skill

Query real-time market and valuation data such as the latest closing price, opening price, price change percentage, turnover amount, trading volume, turnover rate, PE, PB, and market capitalization for A-shares, Hong Kong stocks, US stocks, and indices; supports querying the industry to which an A-share stock belongs. A single-value snapshot with an explicit date can simultaneously return daily-frequency market data and valuation aligned by the actual update date; when field dates differ, display by each field's own date, and do not misjudge later-refreshed fields as having no data. Query the price series and daily price change percentage for the most recent N trading days…

Data & analytics144 installs