formula-derivation

Assemble coherent derivation packages from scattered notes and assumptions.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/jandan138/Auto-claude-code-research-in-sleep --skill formula-derivation-jandan138
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: formula-derivation
Source: https://github.com/jandan138/Auto-claude-code-research-in-sleep/tree/main/skills/formula-derivation
Command: npx skills add https://github.com/jandan138/Auto-claude-code-research-in-sleep --skill formula-derivation-jandan138

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts scattered notes, assumptions, and target phenomena into a coherent derivation package, turning exploratory ideas into a reproducible theory document suitable for review or publication.

Core Features & Use Cases

  • Derivation packaging: Formalize a target, invariant object, notation, and assumptions into a structured derivation with traceable steps.
  • Workflow orchestration: Decide the target, fix the invariant object, normalize assumptions, map derivation steps, and document boundaries.
  • Use Case: A researcher consolidates informal notes and wants a reproducible derivation document that can be shared with collaborators.

Quick Start

Provide a target derivation file and let the tool assemble a complete derivation map from notes.

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 formal mathematical derivation?

To structure scattered research notes into a formal mathematical derivation, define the target, fix the invariant object, normalize assumptions, specify notation, and map step-by-step dependencies to create a reproducible theory document.

What is a derivation package in theoretical research?

A derivation package in theoretical research is a structured document that formalizes a target, invariant object, notation, and assumptions into traceable steps, converting exploratory ideas into a reproducible theory line suitable for review.

Can I formalize assumptions and notation for an unfixed derivation target?

Yes, you can formalize assumptions and notation for an unfixed derivation target by deciding the target, fixing the invariant object, and mapping derivation steps to construct a coherent theory line from scattered notes.

What is the best way to document theory boundaries and dependencies for publication?

The best way to document theory boundaries and dependencies for publication is to orchestrate a derivation workflow that normalizes assumptions, specifies notation, and lists dependencies to ensure the reproducibility of the theory document.

Do I need predefined formulas to generate a step-by-step derivation map?

You do not need predefined formulas to generate a step-by-step derivation map; the workflow applies to research where the derivation target is not yet fixed, assembling the map directly from scattered notes and assumptions.