ddm-simulator
Skill0 starsChanged 4 months agoNo licenceView on GitHub
Use this skill to launch an interactive browser-based Drift Diffusion Model (DDM) simulator for two-choice, one-selection decision making. Trigger whenever the user mentions 'DDM', 'drift diffusion model', 'Ratcliff model', '漂移擴散模型', 'two-choice decision', 'sequential sampling model', 'response time distribution', 'speed-accuracy tradeoff', 'quantile probability plot', 'psychometric function from RT', or wants to demonstrate / teach how trial-by-trial noise + drift produces accuracy and RT distributions. Also trigger for: 'Ratcliff 2008', 'Ratcliff 2014 ceiling effects', 'Ratcliff 2022 aging driving', 'fast vs slow errors', 'how does drift rate affect RT', 'simulate decision making in browser'. Skill opens a single self-contained HTML page with sliders for v, a, z, Ter, η, sz, st, s, dt, N — and live Canvas plots of sample paths, mirror-RT histogram, quantile probability plot, and psychometric function. Already deployed on GitHub Pages — share the URL directly. Do NOT trigger for LBA-only multi-choice tasks, hierarchical Bayesian DDM fitting (HDDM), neural recordings analysis, or non-decision-making RT modeling.
In this repository44 other files it gives its agents.
- jev-autoresearch-rsi/AGENTS.mdAGENTS.md
- jev-engineering/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- jev-engineering/CLAUDE.mdCLAUDE.md
- voice2txt/CLAUDE.mdCLAUDE.md
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