Evaluate scientific figures against academic standards using a VLM-as-a-judge protocol.
npx skills add https://github.com/zc6600/aura --skill figure-evaluation
Please help me install this Agent Skill. Skill: figure-evaluation Source: https://github.com/zc6600/aura/tree/main/skills/figure-evaluation Command: npx skills add https://github.com/zc6600/aura --skill figure-evaluation
This skill addresses the subjectivity and inconsistency in evaluating scientific illustrations, ensuring that AI-generated figures meet rigorous academic standards before submission.
Use the figure-evaluation skill to critique the uploaded image against the provided research paper text.
High-intent search queries and answers about installing and using this skill.
To evaluate scientific figures for publication quality, use a VLM-as-a-judge protocol that applies multi-dimensional scoring to content fidelity, visual design, and communication effectiveness against rigorous academic standards.
Yes, you can use a VLM judge persona to critique uploaded AI-generated illustrations against provided research paper text, ensuring logical topology and professional aesthetics are maintained for academic submission.
Blind pairwise comparison is an A/B testing mechanism where a judge persona evaluates generated visual outputs to determine the superior illustration, reducing subjectivity in academic visual verification workflows.
Yes, the figure evaluation process requires a subagent persona to perform multi-dimensional scoring and blind pairwise comparisons based on defined academic standards for rigorous visual verification.
You need multi-dimensional scoring for academic research workflows when automatically critiquing draft figures against ground truth data to ensure AI-generated illustrations meet professional publication standards before submission.
coval-aiAnalyze human versus LLM judge annotation discrepancies to refine evaluation prompts.
youyinnnAutomates creation of publication-ready scientific figures via Matplotlib and Seaborn with journal-specific formatting.
zc6600Parse semantic concepts into SVG blueprints and refine them via iterative critique.
angrysky56Evaluate academic manuscripts and technical frameworks for claim-evidence alignment and methodological rigor.
