formula-derivation

To build a coherent formula derivation, you select a target file and normalize scattered equations, assumptions, and notation. The skill freezes target interpretation and outputs a structured derivation package in DERIVATION_PACKAGE.md.

Managing notation and scope for research paper theory requires preserving stable notation and labeling identities, propositions, and approximations. This process updates your derivation map and boundaries to ensure logical consistency.

When your invariant object or derivation target is unclear, you apply scope reframing to correct assumptions and interpretations. This maps a derivation strategy and produces either the stated coherent derivation or a reframed one.

When logical consistency cannot be achieved honestly, the derivation process outputs a blocker report. This report identifies missing variables or inconsistent assumptions before any proof-level work begins.

Yes, you can use this for math, physics, and theory writing workflows. It structures research methodology by mapping derivation strategies and normalizing assumptions into a paper-ready output document.

Assumption normalization and a derivation map are needed to freeze target interpretation and define boundaries. This prevents logical errors by ensuring all identities, propositions, and approximations are explicitly labeled.