formula-derivation

Construct a coherent derivation package from scattered research notes.

Updated Jun 10, 2026
One-click install
npx skills add https://github.com/xqinag/ARIS-new --skill formula-derivation-xqinag
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: formula-derivation
Source: https://github.com/xqinag/ARIS-new/tree/main/skills/formula-derivation
Command: npx skills add https://github.com/xqinag/ARIS-new --skill formula-derivation-xqinag

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps structure and derive research formulas into a coherent derivation package, turning scattered notes into a complete, reproducible document.

Core Features & Use Cases

  • Derivation packaging: create a formal Derivation Package that documents target, invariant object, assumptions, and notation.
  • Workflow guidance: provides a step-by-step process from context gathering to a final derivation map.
  • Use Case: convert a messy set of equations and notes into a clean, paper-ready derivation outline.

Quick Start

Define the target derivation and follow the prompts to produce a complete Derivation Package in DERIVATION_PACKAGE.md.

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, define your target formula and follow the guided workflow to produce a formal Derivation Package document. This enforces a structured layout with target, invariant object, assumptions, and notation.

What is a derivation package in research and when do I need one?

A derivation package in research is a formal document that organizes target formulas, invariant objects, assumptions, notation, and derivation steps. You need one to turn messy equations into a clean, paper-ready, reproducible derivation outline.

How do I formalize assumptions and notation for a mathematical derivation?

To formalize assumptions and notation for a mathematical derivation, follow a structured workflow that maps derivation steps across argument chains. This process ensures all assumptions and notation are explicitly documented for research reproducibility.

Can I use this to map derivation steps across argument chains for a paper?

Yes, you can map derivation steps across argument chains for a paper. The workflow guides you from context gathering to a final derivation map, outputting a clean, paper-ready derivation outline in a markdown file.

What is the best way to document a derivation strategy for research formulas?

The best way to document a derivation strategy is to construct a complete package that explicitly defines the target, invariant object, assumptions, notation, and the main derivation section. This ensures the strategy is reproducible.

Does this derivation workflow require any specific external dependencies?

No, this derivation workflow does not require any external dependencies. It operates independently to structure your research formulas and notes into a formal markdown document without needing additional components.