formula-derivation

Create a coherent derivation package with labeled steps and explicit boundaries.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/Wenwen555/ARIS-LVLM --skill formula-derivation-wenwen555
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: formula-derivation
Source: https://github.com/Wenwen555/ARIS-LVLM/tree/main/skills/formula-derivation
Command: npx skills add https://github.com/Wenwen555/ARIS-LVLM --skill formula-derivation-wenwen555

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps researchers structure and derive formal formulas when the target is not yet fixed, turning scattered notes into a coherent derivation package ready for review or publication.

Core Features & Use Cases

  • End-to-end derivation planning: from context gathering to a finalized Derivation Package.md.
  • Invariant object designation: defines a stable top-level quantity to organize the derivation across general and special cases.
  • Explicit steps and boundaries: clearly labeled steps, assumptions, and non-claims to avoid hidden gaps.

Quick Start

Use this skill to generate a complete derivation package from your current notes by specifying the target phenomenon and any draft derivation file.

Frequently Asked Questions about formula-derivation

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

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

To structure scattered research notes into a coherent formula derivation, specify your target phenomenon and draft notes. The skill enforces explicit invariant objects and labeled steps to output a final derivation package.

What is the best way to map theory assumptions and invariants for a research thesis?

Mapping theory assumptions and invariants for a research thesis requires designating a stable top-level invariant object. This organizes the derivation across general and special cases while enforcing explicit boundaries to avoid hidden gaps.

Can I generate a complete derivation package from messy theoretical notes?

Yes, you can generate a complete derivation package from messy theoretical notes. The workflow supports end-to-end planning from context gathering to a finalized DERIVATION_PACKAGE.md file in your project root.

How to create step-by-step derivations with explicit boundaries for internal reports?

Creating step-by-step derivations with explicit boundaries for internal reports involves clearly labeling steps, assumptions, and non-claims. This ensures rigorous formalization when the target formula is not yet fixed.

Does this derivation workflow support student theses and research publications?

Yes, this derivation workflow supports student theses and research publications. It transforms unfixed target notes into a structured package ready for review by enforcing clearly labeled steps and stable invariant quantities.

When should I not use automated theory derivation for my research notes?

You should not use automated theory derivation when your research notes lack a defined target phenomenon or theory line. The process requires specifying a target to map assumptions and generate the final derivation file.