proof-writer

Generate and validate mathematical proofs for machine learning theorems in Markdown.

Updated May 29, 2026
One-click install
npx skills add https://github.com/TabithaFanny/ThesisX --skill proof-writer-tabithafanny
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: proof-writer
Source: https://github.com/TabithaFanny/ThesisX/tree/main/skills_imported/aris/skills/proof-writer
Command: npx skills add https://github.com/TabithaFanny/ThesisX --skill proof-writer-tabithafanny

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the generation of rigorous mathematical proofs for machine learning and artificial intelligence theory, streamlining the process of proving theorems, lemmas, propositions, and corollaries.

Core Features & Use Cases

  • Proof Generation: Automatically generates mathematical proofs for theorems, lemmas, propositions, and corollaries.
  • Proof Validation: Validates the generated proofs for correctness and completeness.
  • Customization: Allows users to specify the desired output style and include assumptions or proof sketches.

Quick Start

Use the proof-writer skill to generate a proof for the theorem "Every even number is the sum of two primes" with the assumption that "Prime numbers greater than 2 are odd."

Frequently Asked Questions about proof-writer

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

FAQPage Schema
How do I automate mathematical proof generation for machine learning theorems?

Automate mathematical proof generation by providing a clear theorem statement and assumptions to generate rigorous proofs for machine learning and artificial intelligence theory, outputting the result as a Markdown document.

Can I validate generated mathematical proofs for correctness and completeness?

Yes, you can validate generated mathematical proofs for correctness and completeness to ensure the rigorous mathematical arguments for your machine learning and artificial intelligence theorems are logically sound.

What is the best way to prove lemmas and propositions in artificial intelligence theory?

The best way to prove lemmas and propositions in artificial intelligence theory is to submit the formal statement along with any necessary assumptions or proof sketches to generate and validate a rigorous mathematical proof.

Do I need to provide assumptions for automated theorem proving in machine learning?

Yes, you need to provide a clear theorem statement and assumptions to successfully generate rigorous mathematical proofs for theorems, lemmas, propositions, and corollaries in machine learning and artificial intelligence.

Can I customize the output style when generating mathematical proofs for ML theory?

Yes, you can customize the desired output style and include specific assumptions or proof sketches when generating mathematical proofs, which are ultimately output as a formatted Markdown document.

Does automated proof generation work with corollaries in machine learning theory?

Automated proof generation works with theorems, lemmas, propositions, and corollaries in machine learning theory, requiring a clear statement and assumptions to produce a validated Markdown proof document.