Vis Experiments | Agent Skills Atlas

About this skill

Use when designing or auditing IEEE VIS evaluations, covering how to match evidence to the contribution type (perceptual study, controlled user study, algorithm benchmark, design-study validation, qualitative work), controlled experiment design with power and effect sizes, CVD-safe and perceptually grounded encoding choices, task taxonomies, and provenance so a TVCG reviewer trusts the result.

Quick start

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Review, license & listing details

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 7fbb33adc4cf900a5581f7233a654fb363e8c97c7b018be148936d36dda2b763

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Original listing metadata

Original name

vis-experiments

Original description

About this listing

Category: Science & research
Reported license: MIT
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.