Applied BCI research and neuro-informed content optimization using Meta's TRIBE v2 brain encoder. Predicts neural responses to media, UI, and content without brain scanners — enabling stimulus optimization, attention ranking, and BCI groundwork research. Use when: (1) Predicting neural responses to video, audio, or text content, (2) Ranking content by predicted brain engagement (visual cortex, attention, emotion), (3) Optimizing stimuli to maximize activation in a target cortical region, (4) BCI research using non-invasive population priors, (5) Accessibility research (testing presentation formats for language/auditory processing), (6) Computational neuromarketing research (CC BY-NC, non-commercial only), (7) Any task involving brain response prediction for media, UI design, or BCI applications using TRIBE v2.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryEngineeringStars0
About this skill
Applied BCI research and neuro-informed content optimization using Meta's TRIBE v2 brain encoder. Predicts neural responses to media, UI, and content without brain scanners — enabling stimulus optimization, attention ranking, and BCI groundwork research. Use when: (1) Predicting neural responses to video, audio, or text content, (2) Ranking content by predicted brain engagement (visual cortex, attention, emotion), (3) Optimizing stimuli to maximize activation in a target cortical region, (4) BCI research using non-invasive population priors, (5) Accessibility research (testing presentation formats for language/auditory processing), (6) Computational neuromarketing research (CC BY-NC, non-commercial only), (7) Any task involving brain response prediction for media, UI design, or BCI applications using TRIBE v2.
Quick start
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Applied BCI research and neuro-informed content optimization using Meta's TRIBE v2 brain encoder. Predicts neural responses to media, UI, and content without brain scanners — enabling stimulus optimization, attention ranking, and BCI groundwork research. Use when: (1) Predicting neural responses to video, audio, or text content, (2) Ranking content by predicted brain engagement (visual cortex, attention, emotion), (3) Optimizing stimuli to maximize activation in a target cortical region, (4) BCI research using non-invasive population priors, (5) Accessibility research (testing presentation formats for language/auditory processing), (6) Computational neuromarketing research (CC BY-NC, non-commercial only), (7) Any task involving brain response prediction for media, UI design, or BCI applications using TRIBE v2.
About this listing
Category
Engineering
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.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI