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.