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.