Agent skill · Documentation

draft-section

Drafts academic prose for a manuscript section from bullet points or an outline. Use when writing or expanding a section.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codecan modify filesNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill draft-section --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Allowed tools: BashReadWriteEditGlobGrep
Path: skills/29-quarcs-lab-project20XXy/dot-claude/skills/draft-section/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

# Draft Manuscript Section Draft academic prose for a manuscript section from bullet points or an outline. ## Arguments - `$ARGUMENTS` — section name and content notes (e.g., "Introduction: regional GDP disparities, panel data from 2000-2020, spatial econometrics, contributes to convergence literature") ## Steps 1. Parse the section name and content bullets/notes from the arguments. 2. Read `index

More from Auto-Empirical-Research-Skills
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About this skill
What does the draft-section skill do?

Drafts academic prose for a manuscript section from bullet points or an outline. Use when writing or expanding a section.

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill draft-section --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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