flux-proof-writer

Generate rigorous mathematical proofs and formalize logical derivations in Markdown.

1|Updated Apr 8, 2026

Search Tags:#research #mathematics #proof #formalization #theorem

Ready to run

npx skills add https://github.com/ExuberantWitness/Flux-Insight --skill flux-proof-writer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: flux-proof-writer
Source: https://github.com/ExuberantWitness/Flux-Insight/tree/main/skills/flux-proof-writer
Command: npx skills add https://github.com/ExuberantWitness/Flux-Insight --skill flux-proof-writer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the difficulty of drafting formal mathematical proofs by providing a structured, multi-round collaborative environment for theorem verification and derivation.

Core Features & Use Cases

Formal Proof Generation: Translates theorem statements into rigorous, step-by-step mathematical proofs.
Iterative Refinement: Supports multi-round dialogue to improve proof clarity and logical consistency.
Use Case: A researcher needs to formalize a new theorem; they provide the statement to the agent, which then generates a structured PROOF_PACKAGE.md containing the theorem, proof, and necessary lemmas.

Quick Start

Use the flux-proof-writer skill to generate a formal proof for the provided theorem statement in the current workspace.

Frequently Asked Questions about flux-proof-writer

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

FAQPage Schema

How do I generate a rigorous mathematical proof for a theorem statement?▼

To generate a mathematical proof, you input a structured theorem statement into the workspace, and the agent produces a standardized PROOF_PACKAGE.md containing the theorem, logical derivations, and necessary lemmas.

Can I use iterative refinement to improve logical consistency during formal proof generation?▼

Yes, iterative refinement is supported through multi-round dialogue, allowing you to collaboratively improve proof clarity and logical consistency during formal proof generation.

What is the best way to formalize logical derivations for complex theorem statements?▼

The best way to formalize logical derivations is providing structured theorem statements to an agent that translates them into step-by-step mathematical proofs within a research-oriented workspace.

Do I need to format my theorem statements in a specific way to generate a proof package?▼

Yes, you need to provide structured input of your theorem statements to produce a standardized proof package in Markdown format, ensuring the logical derivations are accurately formalized.

What limitations exist when formalizing mathematical proofs in a research workspace?▼

Limitations include relying on structured input for theorem statements and requiring multi-round dialogue for iterative refinement to ensure logical consistency and proof clarity.

Does flux-proof-writer support documenting necessary lemmas alongside the main theorem proof?▼

Yes, flux-proof-writer supports documenting necessary lemmas by generating a structured PROOF_PACKAGE.md that includes the theorem, the proof, and required lemmas in Markdown format.