Generate evaluation specs and run automated checks across artifact types.
npx skills add https://github.com/derickLeeT/visualize-plus --skill evaluate-derickleet
Please help me install this Agent Skill. Skill: evaluate Source: https://github.com/derickLeeT/visualize-plus/tree/main/eval Command: npx skills add https://github.com/derickLeeT/visualize-plus --skill evaluate-derickleet
AI-generated artifacts require structured, repeatable evaluation to ensure reliability, consistency, and actionable insights. This Skill provides a practical framework to assess quality across artifact types and generate a shareable, visual report.
Run the evaluation workflow on your artifact and review the generated HTML report.
High-intent search queries and answers about installing and using this skill.
To evaluate AI-generated artifacts, generate tailored evaluation specs, execute automated checks and manual scoring across defined dimensions, and compile a structured report with actionable evidence and recommendations.
The best way to assess dashboard ship readiness is running a structured evaluation workflow that compares the AI-generated dashboard against a benchmark to determine quality and consistency.
Yes, you can use a structured evaluation workflow for documents, code projects, slide decks, and agent conversations. It identifies the artifact type to generate tailored evaluation specs for each.
An automated evaluation report presents quality assessment findings by compiling manual scoring and automated checks into a visual HTML format, providing structured evidence and recommendations.
To generate a structured evaluation report for AI outputs, you need a completed artifact like an HTML visualization or document. The workflow automatically identifies the type and runs tailored checks.
Aken-TeamsReview generated documents and produce structured feedback with strengths and issues.
alpe89Design and evaluate software architectures with diagrams and reports.
viktorbezdekEvaluate LLM agent outputs using multi-dimensional rubrics and bias mitigation.
imchangchangYour text here
