Agent skill

ai-augmented-economist

Integrate AI tools into economic research, teaching, and policy analysis with attention to privacy and reproducibility.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill ai-augmented-economist --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Path: skills/19-CuellarC05-vera-economic-intelligence/ai-augmented-economist/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

Purpose Provide a stepwise approach to choose AI tools, build secure data pipelines, and apply AI methods responsibly in economics work. Workflow 1. Assess tasks suitable for AI augmentation 2. Select tools considering privacy and licensing 3. Build reproducible data pipelines and artifact tracking 4. Validate outputs against domain knowledge and econometric checks 5. Monitor models and document a

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About this skill
What does the ai-augmented-economist skill do?

Integrate AI tools into economic research, teaching, and policy analysis with attention to privacy and reproducibility.

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill ai-augmented-economist --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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