math-olympiad

Solve competition math problems with adversarial proof verification.

Updated May 1, 2026
One-click install
npx skills add https://github.com/oguzhanguvenkaya/oguzhan_claude_code_configurations --skill math-olympiad-oguzhanguvenkaya
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: math-olympiad
Source: https://github.com/oguzhanguvenkaya/oguzhan_claude_code_configurations/tree/main/plugins/marketplaces/claude-plugins-official/plugins/math-olympiad/skills/math-olympiad
Command: npx skills add https://github.com/oguzhanguvenkaya/oguzhan_claude_code_configurations --skill math-olympiad-oguzhanguvenkaya

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Solve competition math problems (IMO, Putnam, USAMO, AIME) with an adversarial verification workflow that catches errors typical self-verification misses, and outputs calibrated confidence.

Core Features & Use Cases

  • Adversarial verification workflow that attacks proposed proofs with pattern-specific checks.
  • Fresh-context verification to avoid reasoning bias and produce robust proofs.
  • PDF output when LaTeX is available for polished presentation.

Quick Start

Provide a problem statement and request a fully reasoned solution subject to adversarial verification.

Frequently Asked Questions about math-olympiad

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify competition math proofs without missing logical errors?▼

Verifying competition math proofs without missing logical errors requires a fresh-context adversarial verifier that attacks the proposed solution with pattern-specific checks to deliver a calibrated verdict. This method catches reasoning biases typical self-verification misses.

What is the best way to solve IMO problems using pure reasoning?▼

Solving IMO problems using pure reasoning involves generating a proof without external tools, then subjecting it to an adversarial verification workflow. A fresh-context verifier attacks the solution to ensure robust mathematical reasoning and calibrated confidence.

How do I prove olympiad inequalities and check if the proof is correct?▼

Proving olympiad inequalities and checking if the proof is correct involves generating a reasoned solution and applying an adversarial verifier. The verifier attacks the inequality proof with pattern-specific checks to deliver a calibrated confidence verdict.

Does the adversarial verification workflow support PDF output for olympiad solutions?▼

The adversarial verification workflow supports PDF output for olympiad solutions when LaTeX is available. This provides a polished presentation of the verified competition math proof alongside the calibrated confidence verdict.

Can I use this approach to verify Putnam and USAMO competition proofs?▼

You can use this approach to verify Putnam and USAMO competition proofs, as well as AIME problems. It applies an adversarial verification workflow to attack the proposed proof and deliver a calibrated verdict on the solution's correctness.

Why does fresh-context verification produce more robust competition proofs?▼

Fresh-context verification produces more robust competition proofs by avoiding reasoning bias. A separate adversarial verifier attacks the proposed solution without prior context, catching logical errors that typical self-verification workflows miss.