Agent skill · Data & Analytics

kaggle-research

Use when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an explicitly approved Kaggle write/delete operation through the official CLI.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeships scriptsNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill kaggle-research --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 25
SKILL.md size: 3 KB
Bundled scripts: yes
Path: skills/72-kaggle-research/kaggle-research/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Kaggle Research Use the official Kaggle CLI through the policy-enforcing wrapper in this skill. The wrapper records bounded, redacted audit data; confines downloads to an approved directory; and blocks remote mutation unless the user explicitly authorizes it. ## Required workflow 1. Confirm the requested Kaggle resource and whether the action is read, download, write, or delete. Do not broaden u

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About this skill
What does the kaggle-research skill do?

Use when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an explicitly approved Kaggle write/delete operation through the official CLI.

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill kaggle-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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