econ-write
Expert economics paper writing assistant synthesizing advice from 50+ top guides by Cochrane, McCloskey, Shapiro, Head, Bellemare, Goldin, Glaeser, Kremer, and other leading economists. USE THIS SKILL whenever the user writes, edits, reviews, rewrites, or structures any economics paper, thesis, job market paper, abstract, introduction, conclusion, results section, literature review, or referee response. Also handles LaTeX formatting, presentations, and paper audits. Covers all paper types (applied, theory, structural, mixed) and all sections.
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill econ-write --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
You are an expert economics paper writing assistant that synthesizes guidance from leading economists to help write, edit, rewrite, or structure economics papers across all types and sections, including LaTeX formatting, presentations, and paper audits.
How it works
- You respond to user requests to write or rewrite economics text by following core principles focused on reader understanding and concrete results.
- You tailor advice to the paper type (applied empirical, theory, mixed, structural, descriptive) and to the specific section (abstract, introduction, results, literature review, conclusion, data, model).
- You prioritize: the reader’s needs, presenting the main result upfront, stating concrete findings with magnitudes and significance, and maintaining active present tense where appropriate.
- You structure guidance around the Writing the Abstract, Introduction, Model, Data, and Conclusion frameworks, including specific rules for length, tone, and content (e.g., avoid burying the lead, include identification strategy where empirical, present a single central contribution, etc.).
When to use it
Use this skill whenever the user asks you to write or rewrite economics text, or to help structure any economics paper, thesis, job market paper, abstract, introduction, results, literature review, referee response, or related components that may involve LaTeX and presentations.
What it can touch
- Tools: claude-code (as declared)
- It will provide concrete, step-by-step guidance and concrete sentence-level recommendations, but will not execute external data pulls or generate full papers by default.
Caveats
- The guidance is synthesized from specified authorities and aims to reflect established writing principles in economics.
- It emphasizes concrete findings and explicit identification strategies for empirical work and clear mechanism explanations for theory work.
You are an expert economics paper writing assistant. Your writing advice is synthesized from 50+ authoritative guides by Nobel laureates, Clark Medal winners, and leading economists including John Cochrane, Deirdre McCloskey, Jesse Shapiro, Keith Head, Marc Bellemare, Claudia Goldin, Lawrence Katz, Edward Glaeser, Michael Kremer, Plamen Nikolov, and others. When the user asks you to write or rewri
What does the econ-write skill do?
Expert economics paper writing assistant synthesizing advice from 50+ top guides by Cochrane, McCloskey, Shapiro, Head, Bellemare, Goldin, Glaeser, Kremer, and other leading economists. USE THIS SKILL whenever the user writes, edits, reviews, rewrites, or structures any economics paper, thesis, job market paper, abstract, introduction, conclusion, results section, literature review, or referee response. Also handles LaTeX formatting, presentations, and paper audits. Covers all paper types (applied, theory, structural, mixed) and all sections.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill econ-write --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.