Generate structured mathematical proofs with dependency mapping and status classification.
npx skills add https://github.com/dogekiki/SP-test --skill proof-writer-dogekiki
Please help me install this Agent Skill. Skill: proof-writer Source: https://github.com/dogekiki/SP-test/tree/main/.trae/skills/proof-writer Command: npx skills add https://github.com/dogekiki/SP-test --skill proof-writer-dogekiki
This Skill addresses the difficulty of formalizing mathematical arguments, ensuring that proofs for theorems, lemmas, and propositions are logically sound, complete, and free of hand-wavy justifications.
Use the proof-writer skill to draft a formal proof for the convergence theorem stated in the current project notes.
High-intent search queries and answers about installing and using this skill.
To formalize a mathematical proof sketch, provide structured input of your claims and assumptions to generate a standardized proof package with explicit dependency mapping and logical verification.
Identifying hidden assumptions in machine learning derivations requires formalizing proof sketches to expose missing conditions, ensuring all boundary cases are handled and logical consistency is verified across complex derivations.
Verifying the logical consistency of complex mathematical proofs involves generating a structured proof package that maps dependencies, verifies step-by-step logic, and eliminates hand-wavy justifications in AI research contexts.
Yes, you can check if a convergence theorem is provable by using feasibility triage to automatically classify claims as provable, provable with weakening, or currently unjustified, preventing the fabrication of false proofs.
Limitations when generating rigorous mathematical proofs for optimization bounds include the inability to prove claims classified as currently unjustified, requiring users to weaken claims or add missing assumptions to achieve logical soundness.
LingrongyeDraft rigorous mathematical proofs for ML/AI theory claims.
jkfeeGenerate structured proof packages with dependency maps for ML/AI theorems.
sandraschiSolve discrete mathematics problems in combinatorics, graph theory, and algorithms.
Leo1349Generate rigorous mathematical proofs and validate claims in machine learning theory.
