Automate visual design issue detection and fixes with before/after screenshots.
npx skills add https://github.com/limzivector/SEO --skill design-review-limzivector
Please help me install this Agent Skill. Skill: design-review Source: https://github.com/limzivector/SEO/tree/main/gstack/design-review Command: npx skills add https://github.com/limzivector/SEO --skill design-review-limzivector
This Skill automates the process of finding and fixing visual inconsistencies, spacing issues, and other design problems in source code, saving time and improving consistency.
Run the design-review skill to automatically audit and fix visual issues in your design code.
High-intent search queries and answers about installing and using this skill.
Automating visual consistency checks involves scanning source code to identify design inconsistencies, spacing issues, and AI slop patterns. This process operates within a plan-mode design review workflow, automatically fixing problems and providing before/after screenshots for verification.
AI slop patterns are visual inconsistencies and spacing issues generated in source code. You can fix them by running an automated design QA process that identifies these issues, applies necessary design fixes, and re-verifies the results using before and after screenshots.
Yes, design QA can be performed using Bash, Grep, and Glob tools. The automated review process requires these tools alongside Read, Write, Edit, AskUserQuestion, and WebSearch to scan source code, identify visual inconsistencies, and apply fixes.
The best way to fix spacing issues is through an automated design review workflow that scans source code for visual inconsistencies. It automatically corrects the identified issues and provides before/after screenshots to verify the design fixes.
Yes, automated design review works for pre-implementation visual audits. It ensures your design is consistent and free of errors by performing a visual audit of the source code, identifying AI slop patterns, and making necessary corrections before final implementation.
Visual inconsistencies persist after manual review because spacing issues and AI slop patterns are difficult to spot manually. An automated design QA process can systematically scan source code, identify hidden inconsistencies, apply fixes, and provide before/after screenshots for verification.
AkbarDevopIdentifies and fixes visual inconsistencies in codebases.
DiversioTeamFix backend code formatting and enforce atomic commits via pre-commit checks.
Kushal9889Identify and fix design issues in source code.
VanLDetect visual inconsistencies and spacing issues in source code or designs.
