formula-derivation

Convert scattered equations and assumptions into a structured derivation package.

Updated May 29, 2026
One-click install
npx skills add https://github.com/Mang30/myskills --skill formula-derivation-mang30
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: formula-derivation
Source: https://github.com/Mang30/myskills/tree/main/skills/formula-derivation
Command: npx skills add https://github.com/Mang30/myskills --skill formula-derivation-mang30

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill helps when you have scattered equations, assumptions, or theory notes but you do not yet have a clean, logically coherent main-line derivation to write down.

Core Features & Use Cases

  • Build a derivation package (honestly): Produces a structured document with target, status, invariant object, assumptions, and a derivation map rather than forcing a fake “finished theorem” narrative.
  • Reframe when needed: When the object, scope, or assumptions are inconsistent, it generates a corrected derivation package with an explicit reframing and status.
  • Diagnose blockers: If the notes cannot support coherence, it outputs a blocker report explaining the missing object, unstable assumptions, notation conflict, or unsupported approximation.

Quick Start

Ask the AI to organize your current notes into a DERIVATION_PACKAGE.md-style coherent derivation, and specify the goal you want (推导公式 / derivation target) and any existing messy formula chain you already have.

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 equations and assumptions into a coherent formula derivation?

To structure scattered equations into a coherent formula derivation, you must normalize local theory inputs, freeze a stable target and invariant object, then produce a labeled derivation map with explicit identities, propositions, and approximations.

What is the best way to organize messy research notes into a structured derivation map?

Organizing messy research notes into a structured derivation map involves converting scattered formulas into a derivation package that explicitly states the target, status, invariant object, and assumptions rather than forcing a fake finished theorem narrative.

How do I diagnose blockers when my theory notes cannot support a logical derivation?

To diagnose blockers when theory notes lack logical coherence, generate a blocker report identifying the missing object, unstable assumptions, notation conflicts, or unsupported approximations preventing a coherent derivation.

Can I reframe inconsistent assumptions and scope during research writing?

You can reframe inconsistent assumptions and scope during research writing by generating a corrected derivation package that includes an explicit reframing and status when the object, scope, or assumptions of your initial notes are inconsistent.

Does formula derivation work when the main object or derivation target is not fully fixed?

Formula derivation works when the main object or derivation target is not fully fixed by reading and normalizing local theory inputs to freeze a stable target and invariant object before producing the final structured derivation map.