Deep consistency audit of the entire repository — launches 4 parallel specialist agents to find factual errors, code bugs, broken references, count mismatches, and cross-document inconsistencies, then fixes all issues and loops until clean. Make sure to use this skill whenever the user wants a comprehensive repository-wide check — not a targeted review of a single file. Triggers include: "audit", "deep audit", "find inconsistencies", "check everything", "run a full audit", "are there any broken references", "check the whole repo", "something feels off", "run the audit loop", or after making br...
At a glance
/plugin marketplace add brycewang-stanford/Auto-Empirical-Research-Skills
/plugin install deep-audit-skills15-felpix-studios-social-science-researchskillsdeep-audit
Setup, runtime and requirements describe brycewang-stanford/Auto-Empirical-Research-Skills, the repo this skill ships in.
Also in brycewang-stanford/Auto-Empirical-Research-Skills
View the repoSystematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use...
Systematic strategic planning framework for philosophy and interdisciplinary academic papers targeting preprint platforms (PhilArchive, arXi...
Draft economics papers with proper structure and academic style
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components...
Guide for creating DAAF agent definition files. Covers 12-section template, hook registration, skills-in-frontmatter, integration checklist....
End-to-end data analysis dispatching Coder and Data-engineer for implementation, coder-critic for review. Supports R, Stata, Python, Julia....
Main orchestration workflow for systematic literature research - search, evaluate, traverse, synthesize
Fetch economic data from FRED, World Bank, and other APIs
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in...
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with...
This skill covers Bayesian estimation and inference in quantitative social science. Use when the user is specifying priors, running MCMC, di...
Create academic presentations in Beamer with professional themes