What problem does it solve?
It helps you produce reliable Wolfram Language/Mathematica code by enforcing consistent style, safe file/path handling, and a checklist of common language-specific pitfalls.
Core Features & Use Cases
- Implementation conventions: Prioritizes Wolfram Language as the main language, encourages modern built-ins, and standardizes notebook structure and output style.
- Safer coding practices: Reduces bugs by specifying path resolution rules, discouraging risky clearing patterns, and banning known anti-patterns.
- Correct data handling: Recommends symbolic-first computation, stable table outputs via Dataset, and careful Excel import behavior.
- Wolfram trap avoidance: Includes a targeted list of known gotchas (e.g., ValueQ limitations, Unicode escape handling, Function/& pitfalls).
- Use cases: Building and editing .wl/.m packages, generating notebook outputs, and implementing/debugging Mathematica workflows with consistent conventions.
Quick Start
Ask your AI to follow the Wolfram-general rules while generating Mathematica code that obeys the project’s file-path and notebook-convention constraints.