21 Claesbackman AI Research Feedback

21 Claesbackman AI Research Feedback from brycewang-stanford/Auto-Empirical-Research-Skills.

Install

npx skillmds@latest add plugin:brycewang-stanford/21-claesbackman-ai-research-feedback

One command, no setup. In Claude Code it lands as a managed plugin you can enable, disable or remove with /plugin. On any other agent it installs the 5 skills into that agent's own folder.

Or inside Claude Code

In the Plugins tab, add this marketplace:

skillmds/skillmd
/plugin install brycewang-stanford-21-claesbackman-ai-research-feedback@skillmd

Adds the marketplace once; later plugins need the second line only.

Or install by hand

Download the plugin and unzip its skills/ folder into your agent's skills directory. Works with every agent, no CLI needed.

Download plugin Paths per agent

Just the markdown? SKILL.md files only.

This plugin

skills: 5
authors: 1

Published by a registry member. Review its skills before installing.

Skills in this plugin

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Review Pap · brycewang-stanford
Run a 6-agent pre-submission review of a pre-analysis plan (PAP) for a specified registration target or journal

1k repo stars
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Review Grant · brycewang-stanford
Run a 6-agent pre-submission panel review for a grant proposal targeting a specified funder or program

1k repo stars
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Review Paper · brycewang-stanford
Run a 6-agent pre-submission referee report for an academic paper targeting a specified journal

1k repo stars
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Review Paper Code · brycewang-stanford
Review research code for reproducibility and quality, extract the paper's main empirical claims, compare paper to code, and write a constructive markdown report. Designed for social science / economics projects with LaTeX papers and Stata, R, or Python code.

1k repo stars
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Review Paper Light · brycewang-stanford
Run a fast 2-agent pre-submission check for an economics paper — focuses on contribution, identification, and causal overclaiming. Completes in ~1 minute.

1k repo stars