formula-derivation

Structures research formula derivations from assumptions and problem statements into paper-ready theory drafts.

52|Updated Apr 24, 2026
One-click install
npx skills add https://github.com/Immortalqx/my_codex_skills --skill formula-derivation-immortalqx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: formula-derivation
Source: https://github.com/Immortalqx/my_codex_skills/tree/main/formula-derivation
Command: npx skills add https://github.com/Immortalqx/my_codex_skills --skill formula-derivation-immortalqx

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Research notes often contain scattered formulas with unclear assumptions, mixed identities and approximations, and no coherent derivation line. This Skill turns messy theory notes into a structured derivation built around one invariant object, ready for internal alignment or paper writing. ## Core Features & Use Cases - Invariant-Object Framing: Identifies the single quantity that survives across regimes, then derives proxies, decompositions, and interpretations from it. - Step Classification: Labels every derivation step as identity, proposition, approximation, or interpretation so claims are never overstated. - Structured Outputs: Produces a mainline derivation note, a paper-style theory draft, or a blocker report when notes cannot support a coherent derivation. - Use Case: A researcher has notes on a network cost model with a simplified and a general regime. The Skill unifies both under one global quantity, derives the marginal decomposition, and separates the formal derivation from remarks and scope statements. ## Quick Start Use the formula-derivation skill to turn my theory notes into a paper-ready derivation with explicit assumptions and regime boundaries.

Frequently Asked Questions about formula-derivation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure a research formula derivation from scratch?

Start by freezing the target claim, then choose one invariant object that remains meaningful across regimes. List assumptions and notation first, classify each step as identity, proposition, approximation, or interpretation, and derive decompositions from the global quantity rather than local variables.

How to turn messy theory notes into a paper-ready derivation?

Organize notes around a single invariant object, move explanatory prose into remark or discussion paragraphs, and keep only equations and immediate consequences in the main derivation. End with explicit statements of what is proven, what remains approximate, and what should not be claimed.

When should I use formula derivation instead of theorem proving?

Use formula derivation when the claim is not yet fixed and you need to build the derivation line, choose assumptions, and connect simple and general regimes. Once the exact claim and assumptions are stable, switch to rigorous theorem-proof work instead.

How do I handle simplified and general cases in one theory section?

Keep the same invariant object across all regimes so the cases form one story. Present the simplified case as a tractable slice, such as a frozen-parameter approximation or constant-coefficient case, where certain terms vanish, then extend to the general case with added structure.

What are the limitations of derivation structuring for proofs?

Derivation structuring clarifies assumptions, boundaries, and missing steps but does not deliver a rigorous proof of a fixed claim. It guards against overstating local propositions as universal theorems, but final theorem-proof packages require separate rigorous verification.