algorithm-design
Design algorithms with LaTeX pseudocode and UML diagrams. Generate algorithmic environments,…
Formal mathematical reasoning for research papers — derive equations, write proofs, formalize problem settings, select statistical tests, and generate LaTeX math notation. Use when the user needs mathematical derivations, theorem proofs, notation tables, or statistical analysis
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Formal mathematical reasoning for research papers — derive equations, write proofs, formalize problem settings, select statistical tests, and generate LaTeX math notation. Use when the user needs mathematical derivations, theorem proofs, notation tables, or statistical analysis
name: math-reasoning description: Formal mathematical reasoning for research papers — derive equations, write proofs, formalize problem settings, select statistical tests, and generate LaTeX math notation. Use when the user needs mathematical derivations, theorem proofs, notation tables, or statistical analysis formalization. argument-hint: [task-or-context]
Perform rigorous mathematical reasoning and produce publication-quality LaTeX output.
Show every intermediate step. Justify each with the rule applied. Box final result with `\boxed{}`. Number important equations with `\label{eq:name}`.
Use appropriate technique: direct, contradiction, induction, construction, or cases. See `references/proof-templates.md` for LaTeX templates.
Convert informal description into formal mathematical framework with: variable definitions, domain/range specifications, assumptions, objective function.
Use the decision tree in `references/notation-guide.md` to select appropriate tests. Report p-values, effect sizes, confidence intervals.
Create a `\begin{table}` with all symbols used in the paper. Use standard ML notation from `references/notation-guide.md`.
Verify: dimensional consistency, boundary cases, gradient computations, notation consistency across sections.
31 skills for Claude Code covering the full academic research paper lifecycle — from literature search to slide generation — plus GitHub repository analysis for research topics. Extracted from 17 GitHub repos studying LLM-agent-driven research automation.
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