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
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.
Auto-Empirical Research Skills (AERS)
A plugin marketplace for empirical social science research: causal inference, econometrics and manuscript prep for top journals
Skills tailored to specific academic journals that help choose a venue, prepare a paper and pass review
The MCP server and skill of the StatsPAI library: the agent runs DiD, RD, IV and synthetic control on your data
A picker skill: among 227 slide-deck skills it chooses the HTML or PPTX route and gives the install command and style ID
stata-code runs Stata from Claude Code and Cursor: DiD, IV and RDD, esttab tables and a compact result format.
Plugin and catalog of 70+ open-source literature review tools: six-database search, open-access full text and a tool launcher.
An orchestrator skill that takes empirical social science work from idea or data to a reproducible manuscript with quality gates.
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.
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-skillsAccess of the author’s cards
Did not find what you need from this author? Describe the task and Foxx AI will pick cards from the whole catalog. Match with Foxx AI