formula-derivation

Organize scattered research formulas into a structured derivation package.

1|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/tqLi99/claude-skills-for-writing --skill formula-derivation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: formula-derivation
Source: https://github.com/tqLi99/claude-skills-for-writing/tree/main/formula-derivation
Command: npx skills add https://github.com/tqLi99/claude-skills-for-writing --skill formula-derivation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates structuring and organizing research formulas into a coherent derivation package from scattered notes.

Core Features & Use Cases

  • Define a target and invariant object to anchor the derivation.
  • Normalize notation and capture explicit assumptions for traceability.
  • Generate a derivation map and stepwise justification, with supports for blocker reports when needed.
  • Produce a ready-to-use derivation package suitable for sharing in papers or notes.

Quick Start

Provide your current notes and target idea, and let formula-derivation assemble a coherent derivation package.

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?

Structure scattered research notes into a coherent formula derivation by defining a target, invariant object, and explicit assumptions. The derivation process normalizes notation and generates a stepwise justification map, producing a ready-to-use package for papers or notes.

What is a derivation map and how does it help with proof-writing?

A derivation map is a structured plan detailing the stepwise justification of formulas from defined assumptions and normalized notation. It anchors proof-writing by maintaining a stable invariant object, allowing you to track progress and reframe strategies during research.

Can I generate a derivation package if my research formulas are still evolving?

Yes, you can generate a derivation package for evolving research formulas. The process explicitly supports dynamic targets by allowing reframing or issuing blocker reports, ensuring the derivation plan remains stable and traceable even when the proof is incomplete.

What's the best way to normalize notation and track assumptions for mathematical proofs?

Normalize notation and track assumptions for mathematical proofs by specifying a target, invariant object, and explicit assumptions upfront. This captures traceability within your derivation map, ensuring every step of the formula derivation is formally justified.

When should I use a blocker report during formula derivation?

Use a blocker report during formula derivation when the evolving proof hits a wall that prevents further structuring. It formally documents the obstacle within the derivation package, allowing you to reframe the strategy or notation without losing prior assumptions.