Agent skill · Code Review & Quality

lit-review-assistant

Search, summarize, and synthesize economics literature

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill lit-review-assistant --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Version: 1.0.0
Declared author: Awesome Econ AI Community
Requires: - claude-code - cursor - codex - gemini-cli
Path: skills/09-meleantonio-awesome-econ-ai-stuff/_skills/literature/lit-review-assistant/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

# Literature Review Assistant ## Purpose This skill helps economists conduct literature reviews by structuring searches, summarizing papers, and synthesizing findings. It provides templates for organizing literature and identifying research gaps. ## When to Use - Starting a literature review for a new project - Finding related work for a paper's introduction - Synthesizing existing evidence on a t

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About this skill
What does the lit-review-assistant skill do?

Search, summarize, and synthesize economics literature

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill lit-review-assistant --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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