method-design

Convert IDEA.md research ideas into METHOD.md with architecture, formulas, and pseudocode.

78|3|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/CUHK-AIM-Group/NeuroClaw --skill method-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: method-design
Source: https://github.com/CUHK-AIM-Group/NeuroClaw/tree/main/skills/method-design
Command: npx skills add https://github.com/CUHK-AIM-Group/NeuroClaw --skill method-design

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Formalizes a research idea into a concrete network architecture and mathematical foundation, enabling reproducible design and rigorous documentation.

Core Features & Use Cases

  • Converts IDEA.md into a complete METHOD.md containing Architecture Diagram, Detailed Layers, Mathematical Formulation, Implementation Notes, and Pseudocode.
  • Supports reading IDEA.md, deriving network structures (layers, modules, connections), and producing thorough theoretical derivations.
  • Use Case: A researcher wants to formalize a proposed CNN + attention-based MRI pipeline into concrete components and math.

Quick Start

Provide IDEA.md as input and request the tool to generate a complete METHOD.md.

Frequently Asked Questions about method-design

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert a research idea into a formal network design and mathematical formulation?

You can convert a research idea by supplying an IDEA.md file to generate a complete METHOD.md, which details the concrete network architecture, layers, modules, and mathematical formulations. This process formalizes concepts into reproducible designs.

What is the best way to formalize a proposed CNN and attention pipeline into math and pseudocode?

To formalize a proposed CNN and attention pipeline, input your IDEA.md to derive the theoretical architecture and output a METHOD.md containing mathematical formulations, implementation notes, and pseudocode for rigorous documentation.

How do I derive neural architecture layers and formulas from a markdown idea document?

Deriving neural architecture layers and formulas from a markdown idea document involves reading the IDEA.md input to structure network connections and performing theoretical derivations that result in a comprehensive METHOD.md output.

Can I generate architecture diagrams and detailed layer specifications from an initial research concept?

Yes, you can generate architecture diagrams and detailed layer specifications from an initial research concept. The process transforms your conceptual input into a METHOD.md that includes visual diagrams, module connections, and implementation notes.

What format should I prepare to automate theoretical derivation and network structure generation?

You should prepare an IDEA.md file as input to automate theoretical derivation and network structure generation. The system reads this markdown idea document to produce a formal METHOD.md with architecture, math, and pseudocode.

Does this method design approach work for any neural architecture or only specific network types?

This method design approach works for formalizing any proposed neural architecture into concrete components and math. It transforms general research ideas into rigorous network designs and mathematical foundations regardless of specific network type.