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.