Bryce Wang

DeveloperGitHub (opens in a new tab)

The developer Bryce Wang creates tools for AI agents focused on empirical social science research, including causal inference, econometrics, and academic paper preparation.

All cards

7 cards

Auto-Empirical Research Skills

Auto-Empirical Research Skills (AERS)

A plugin marketplace for empirical social science research: causal inference, econometrics and manuscript prep for top journals

PluginExtended access5KRepository stars

Skills tailored to specific academic journals that help choose a venue, prepare a paper and pass review

SkillMinimal access1.4KRepository stars

A picker skill: among 227 slide-deck skills it chooses the HTML or PPTX route and gives the install command and style ID

SkillMinimal access74Repository stars

stata-code runs Stata from Claude Code and Cursor: DiD, IV and RDD, esttab tables and a compact result format.

MCP serverExtended access55Repository stars

Plugin and catalog of 70+ open-source literature review tools: six-database search, open-access full text and a tool launcher.

PluginExtended access50Repository stars

An orchestrator skill that takes empirical social science work from idea or data to a reproducible manuscript with quality gates.

SkillExtended access50Repository stars

In short

This work is represented by MCP servers like StatsPAI and stata-code, plugins such as Auto-Empirical Research Skills and Literature Review Tools, and skills like Awesome-Journal-Skills and Paper-WorkFlow. These tools support tasks from data analysis and literature review to manuscript preparation and submission.

How to install

One command, using “Awesome-Journal-Skills” as an example. The SkillFoxx CLI detects the agent and puts the files in the right folder.

npx skillfoxx add skills/awesome-journal-skills

Access of the author’s cards

  • minimal2
  • extended5
How we set access levels

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