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doc2math-skill

Claude Skill for converting narrative documents to Mathematical Problem Specifications — powered by DOC2MATH™ by K¹ (W. Kyle Million), IntuiTek¹.

What It Produces

A complete Mathematical Problem Specification (MPS) JSON object containing:

  • Variables — named, typed, bounded, with evidence anchors to source text
  • Operators — the mathematical operations in play
  • Constraints — equality, inequality, logical, and domain constraints
  • Objectives — what is being minimized, maximized, found, or proved
  • Uncertainty — stochastic, epistemic, or measurement uncertainty
  • Missing information — what the document implies but doesn't state
  • Validation flags — completeness assessment and formalizability rating

Governed by the Zero-Inference Protocol: every element must cite its source phrase. Inferences are tagged. Missing information is surfaced rather than silently filled.

Usage

Give Claude any narrative text and ask:

  • "Convert this to a math spec"
  • "What are the variables and constraints in this problem?"
  • "Formalize this research description"

Full Tool

The complete BYOK edition runs automated extraction via Opus-class Claude:

Purchase DOC2MATH™ BYOK Edition — $29 →

Instant ZIP download. Runs on your machine with your own Anthropic key.


Originator: W. Kyle Million (~K¹), IntuiTek¹

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Claude Skill for document-to-mathematics formalization — DOC2MATH™ by K¹, IntuiTek¹

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