SuperAPI AI Directory

scientific-reasoning

General & other

View repository

Updated 10-16 05:01

About this skill

Scientific Reasoning & Problem Solving

Purpose

Solve mathematical and scientific reasoning problems with rigorous step-by-step proofs and physical intuition.

Key Datasets

  • MATH Dataset (hendrycks/competition_math): 12,500 competition math problems across 7 categories (Algebra, Counting & Probability, Geometry, Intermediate Algebra, Number Theory, Prealgebra, Precalculus), difficulty levels 1-5
  • PhysReason (zhibei1204/PhysReason): Physics reasoning benchmark requiring multi-step physical reasoning

Protocol

  1. Problem classification — Identify domain (algebra, calculus, geometry, mechanics, thermodynamics, etc.)
  2. Known-unknowns analysis — List given quantities, target quantity, constraints
  3. Strategy selection — Choose approach (direct computation, proof by contradiction, dimensional analysis, symmetry arguments)
  4. Step-by-step solution — Show each derivation step with justification
  5. Verification — Check units, boundary conditions, limiting cases

Problem Categories

  • Pure mathematics: Number theory, combinatorics, algebra, analysis, geometry
  • Applied mathematics: Differential equations, optimization, numerical methods
  • Physics reasoning: Mechanics, E&M, thermodynamics, quantum, relativity
  • Cross-domain: Mathematical modeling of physical systems

Rules

  • Show all intermediate steps; never skip derivations
  • Verify dimensional consistency in physics problems
  • Check answer against limiting cases and physical intuition
  • For competition problems, aim for elegant solutions, not just correct ones
  • Distinguish between exact and approximate answers