math-reasoning

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.

Skill file

Preview skill file
---
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]
---

# Mathematical Reasoning

Perform rigorous mathematical reasoning and produce publication-quality LaTeX output.

## Input

- `$0` — Task type: `derive`, `prove`, `formalize`, `stats`, `notation`, `verify`
- `$1` — Context: equation, theorem statement, problem description, or data description

## Tasks

### `derive` — Step-by-step equation derivation
Show every intermediate step. Justify each with the rule applied. Box final result with `\boxed{}`. Number important equations with `\label{eq:name}`.

### `prove` — Formal theorem proof
Use appropriate technique: direct, contradiction, induction, construction, or cases. See `references/proof-templates.md` for LaTeX templates.

### `formalize` — Problem setting formalization
Convert informal description into formal mathematical framework with: variable definitions, domain/range specifications, assumptions, objective function.

### `stats` — Statistical test selection
Use the decision tree in `references/notation-guide.md` to select appropriate tests. Report p-values, effect sizes, confidence intervals.

### `notation` — Generate notation table
Create a `\begin{table}` with all symbols used in the paper. Use standard ML notation from `references/notation-guide.md`.

### `verify` — Check mathematical correctness
Verify: dimensional consistency, boundary cases, gradient computations, notation consistency across sections.

## References

- Standard ML notation + statistical tests: `~/.claude/skills/math-reasoning/references/notation-guide.md`
- Proof templates and theorem environments: `~/.claude/skills/math-reasoning/references/proof-templates.md`

## Rules

- Define ALL symbols before first use: "Let $\mathcal{X}$ denote..."
- Use consistent notation throughout the paper
- Number equations that are referenced later
- Use `\tag{reason}` for key derivation steps
- State assumptions explicitly
- Cite lemmas and prior results used in proofs

## Related Skills
- Upstream: [research-planning](../research-planning/)
- Downstream: [algorithm-design](../algorithm-design/), [paper-writing-section](../paper-writing-section/)
- See also: [symbolic-equation](../symbolic-equation/), [data-analysis](../data-analysis/)

Source

Creator's repository · lingzhi227/agent-research-skills

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