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Einstein-Skill
Evidence-based modeling of Einstein's scientific research taste. Evaluate theories through 8 taste axes (simplicity, unity, invariance...) with temporal cutoff and evidence/inference separation. Claude Code Skill.
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Python
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ActiveNo testsNo CIThin docsNo licenseNew
InstallSKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest ezy1999/Einstein-SkillAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/einstein-skill curl -fsSL https://raw.githubusercontent.com/ezy1999/Einstein-Skill/main/SKILL.md -o ~/.claude/skills/einstein-skill/SKILL.md
Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
einstein-skill — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt