Detect and rewrite R scripts to remove LLM code smells while preserving outputs.
npx skills add https://github.com/halidaee/econtools_marketplace --skill r-style
Please help me install this Agent Skill. Skill: r-style Source: https://github.com/halidaee/econtools_marketplace/tree/main/analytics-toolkit/skills/r-style Command: npx skills add https://github.com/halidaee/econtools_marketplace --skill r-style
Detects LLM-generated R scripts and rewrites them to match the user's preferred coding style, ensuring finished code is readable while preserving results and with archive-verify-revert safety.
Provide a finished R script to the skill to obtain a human-readable version that preserves the original outputs.
High-intent search queries and answers about installing and using this skill.
This Skill rewrites finished R scripts by detecting LLM code smells and applying style-only adjustments like snake_case naming and explicit return(). It preserves your original outputs during the code cleanup process.
The best way to standardize R script style is applying post-production linting that restricts structural changes to style-only adjustments. This enforces an archive-verify-revert workflow to align code readability across teams without altering analysis outputs.
Yes, you can rewrite R code without changing outputs by using an archive-verify-revert workflow. The Skill archives your original version to a draft location, rewrites the code for readability, and verifies that the rewritten script preserves the original results.
No, this R code cleanup Skill applies after analysis is complete on finished code. It is designed for post-production cleanup before you share code with collaborators or publish results, not for interactive scripting during active analysis.
The specific style adjustments enforced include using explicit return() statements and snake_case naming conventions. The Skill restricts all structural changes to style-only adjustments to ensure readability while preserving the original script's outputs.
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