formula-derivation

Structure and derive a research formula from a problem statement using a single invariant object.

1|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/HeXiao-55/Auto-SurveyMind --skill formula-derivation-hexiao-55
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: formula-derivation
Source: https://github.com/HeXiao-55/Auto-SurveyMind/tree/main/skills/skills-codex/formula-derivation
Command: npx skills add https://github.com/HeXiao-55/Auto-SurveyMind --skill formula-derivation-hexiao-55

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps you convert scattered research notes into a coherent derivation line, identify invariant objects, and separate assumptions from conclusions for paper-ready formulations.

Core Features & Use Cases

  • Structured derivation guidance: choose an invariant object, define assumptions, and organize steps into a single, coherent narrative.
  • Output versatility: produce a mainline derivation note or a paper-style theory draft, with clear labeling of propositions, identities, and interpretations.
  • Use Case: turn messy theory notes into a derivation skeleton you can extend into a full manuscript.

Quick Start

Freeze the target phenomenon, select a single invariant object, and derive a mainline derivation note.

Frequently Asked Questions about formula-derivation

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

FAQPage Schema
How do I structure a research formula derivation from scattered notes?

To structure a research formula derivation, freeze the target phenomenon and select a single invariant object to anchor the logic. This process organizes scattered theory notes into a coherent, staged derivation line with explicit assumptions and notation.

What is an invariant object and why do I need one for theoretical derivations?

An invariant object is a conserved property or fixed mathematical entity used to anchor a theoretical derivation. You need one to provide a stable reference point, ensuring the derivation narrative remains logically coherent and separate from variable assumptions.

How do I write a paper-ready derivation with clear assumptions?

Writing a paper-ready derivation requires separating explicit assumptions from conclusions and organizing steps into a single narrative. This approach produces a theory draft with clear labeling of propositions, identities, and interpretations suitable for manuscripts.

Can I generate a paper-style theory draft directly from messy theory notes?

Yes, you can generate a paper-style theory draft from messy notes by defining the target phenomena and selecting an invariant. The output is a mainline derivation note or a paper-like draft that serves as a skeleton you can extend into a full manuscript.

What is the best way to organize mathematical assumptions for a research manuscript?

The best way to organize mathematical assumptions is to explicitly define them upfront and isolate them from derived conclusions. Anchoring the problem to a single invariant object ensures the formulation remains paper-ready and logically structured.