Methodology and technical section writing for STEM papers, theses, and reports. Use when users need to write or improve Method, Materials and Methods, Proposed Method, System Model, Algorithm, Model Architecture, Mathematical Formulation, Implementation Details, or Theoretical Analysis sections for engineering, computer science, physical science, biomedical, and applied research papers. Trigger phrases include method section, methodology, proposed method, algorithm description, mathematical formulation, system model, implementation details, and Chinese requests about fangfa zhangjie.
Instalação
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Methodology and technical section writing for STEM papers, theses, and reports. Use when users need to write or improve Method, Materials and Methods, Proposed Method, System Model, Algorithm, Model Architecture, Mathematical Formulation, Implementation Details, or Theoretical Analysis sections for engineering, computer science, physical science, biomedical, and applied research papers. Trigger phrases include method section, methodology, proposed method, algorithm description, mathematical formulation, system model, implementation details, and Chinese requests about fangfa zhangjie.
STEM Method Writer
Purpose
Use this skill to write a precise, reproducible, and reviewer-friendly method section for STEM research. The goal is to make the method clear enough to implement, evaluate, and critique.
Inputs To Ask For
Paper field and target venue style.
The problem statement.
Method name and high-level idea.
Equations, architecture, workflow, experimental apparatus, dataset, or protocol.
Baselines, assumptions, constraints, and implementation details.
Section Blueprint
Adapt the blueprint to the discipline:
Problem formulation.
Define inputs, outputs, symbols, units, and assumptions.
State optimization objective, hypothesis, or design target.
Method overview.
Give a short pipeline or architecture description.
Name the key components and explain why each exists.
Core method.
Present algorithmic steps, mathematical model, experimental procedure, or system design.
Define every variable before use.
Explain design choices only when they affect behavior, reproducibility, or interpretation.
Implementation or apparatus.
Report software, hardware, parameters, training details, materials, instruments, preprocessing, calibration, or sampling protocol.
Include enough detail for replication without bloating the main text.
Complexity, validity, or theory.
Add computational complexity, convergence, stability, uncertainty, error analysis, or mechanism explanation when relevant.
Limitations and scope.
State what the method assumes and where it may fail.
Writing Rules
Prefer concrete technical nouns over vague verbs like "optimize", "improve", or "enhance" unless the metric is stated.
Do not hide novelty in the introduction only; make the method's technical difference explicit.
Use numbered algorithms, tables, equations, and diagrams when they reduce ambiguity.
Keep notation consistent with figures, tables, code, and experiments.
Avoid overclaiming. Write what the method does, under what conditions, and with what evidence.
Output Format
Provide:
Recommended section structure.
A polished method-section draft.
A notation table when variables are dense.
Missing-detail checklist for reproducibility.
Reviewer-risk notes, especially missing assumptions, unclear baselines, or unsupported design choices.
Quality Checklist
A reader can identify input, output, assumptions, and objective.
The technical novelty is explicit and narrow.
Parameters and implementation choices are reproducible.
Equations and algorithms are explained in prose.
The section connects naturally to the experiments.
