numerical-check
CommunityVerify your self-authored math claims with numerical stress testing.
Education & Research#empirical testing#numerical analysis#Monte-Carlo#counterexample#mathematical verification
Authorflonat
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a method to numerically verify or falsify mathematical claims, ensuring that your hypotheses are based on robust empirical testing.
Core Features & Use Cases
- Numerical Verification: Stress-test your mathematical conjectures with Monte-Carlo methods.
- Falsification: Find counterexamples to invalidate your claims.
- Use Case: When you have a conjecture about the behavior of a mathematical function, use this Skill to test its validity over a range of parameters.
Quick Start
Perform a numerical check on your conjecture "f(x) = x^2 + 1 is always positive" by providing the script and specifying the domain.
Dependency Matrix
Required Modules
numpyscipy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: numerical-check Download link: https://github.com/flonat/flonat-research/archive/main.zip#numerical-check Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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