Quality enforcement layer for code, text, and design. Detects and prevents generic AI-generated patterns. Works complementary with any learning resource (books, courses, Posit skills). Includes active detection scripts.
Meta-skill that coordinates all anti-slop domain skills. Auto-loads appropriate skill based on file type.
Active detection and cleanup scripts. Automated slop scoring for text and R code files.
Comprehensive text quality coordinator. Three-layer system: (1) pattern removal, (2) Strunk's principles, (3) human voice. One invocation applies all layers automatically.
Wikipedia's 24-pattern checklist for removing AI writing signatures. Adds personality and voice to text.
Visual design quality enforcement. Detects cookie-cutter layouts, generic gradients, and 'AI startup' aesthetic.
R code quality enforcement. Namespace qualification, explicit returns, no generic names (df, data, result).
Python code quality enforcement. Type hints, docstrings, PEP 8 compliance, pandas best practices.
Quarto/RMarkdown quality enforcement. Prevents generic research documents, ensures reproducibility.
Julia code quality enforcement for scientific computing. Type stability and multiple dispatch.
C++ and Rcpp quality enforcement for performance-critical code. Memory safety and Rcpp best practices.
Meta-skill that coordinates all anti-slop domain skills. Auto-loads appropriate skill based on file type.
Comprehensive text quality coordinator. Three-layer system: (1) pattern removal, (2) Strunk's principles, (3) human voice. One invocation applies all layers automatically.
Wikipedia's 24-pattern checklist for removing AI writing signatures. Adds personality and voice to text.
Active detection and cleanup scripts. Automated slop scoring for text and R code files.
Visual design quality enforcement. Detects cookie-cutter layouts, generic gradients, and 'AI startup' aesthetic.
R code quality enforcement. Namespace qualification, explicit returns, no generic names (df, data, result).
Python code quality enforcement. Type hints, docstrings, PEP 8 compliance, pandas best practices.
Quarto/RMarkdown quality enforcement. Prevents generic research documents, ensures reproducibility.
Julia code quality enforcement for scientific computing. Type stability and multiple dispatch.
C++ and Rcpp quality enforcement for performance-critical code. Memory safety and Rcpp best practices.