paper-methodology

Generate bilingual Chinese and English Methodology sections for geotechnical AI papers.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/wjroy/paper-methodology --skill paper-methodology
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-methodology
Source: https://github.com/wjroy/paper-methodology/tree/main/.opencode/skills/paper-methodology
Command: npx skills add https://github.com/wjroy/paper-methodology --skill paper-methodology

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the creation of bilingual (Chinese + English) Methodology/Methods sections for academic papers, ensuring accuracy, consistency, and adherence to strict anti-hallucination rules.

Core Features & Use Cases

  • Automated Drafting: Generates publication-ready Methodology sections from user notes, code, and configuration files.
  • Bilingual Output: Produces both Chinese and English versions with strict structural and value alignment.
  • MethodSpec-First Approach: Ensures a single source of truth (MethodSpec) is established before drafting prose.
  • Workflow Control: Manages a phased workflow (GATHER -> PLAN -> WRITE_AUDIT) with confirmation gates to prevent errors.
  • Use Case: A researcher has detailed notes and code snippets for a new geotechnical AI method. They can use this Skill to generate a complete, publication-quality Methodology section in both Chinese and English, saving significant writing time and ensuring technical accuracy.

Quick Start

Use the paper-methodology skill to write the methodology section based on my notes and code.

Frequently Asked Questions about paper-methodology

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

FAQPage Schema
How do I generate a bilingual methodology section for an SCI paper from my code and notes?

To generate a bilingual methodology section, provide your research notes, code snippets, and configuration files. The Skill establishes a single source of truth, then drafts publication-ready Chinese and English text with strict value alignment.

What is the MethodSpec-first approach in academic technical writing?

The MethodSpec-first approach establishes a single source of truth before drafting prose. This mechanism ensures technical accuracy and structural consistency in bilingual content, applying strict anti-hallucination controls to prevent fabricated details.

Can I use LLM-assisted writing to draft geotechnical AI methods without hallucinating technical details?

Yes, you can draft geotechnical AI methods without hallucinating by using a workflow with confirmation gates. It incorporates your actual code and configuration files to ground the generation process and enforce strict anti-hallucination rules.

How do I plan the heading structure for a research paper methodology section?

You can plan the heading structure by selecting the heading plan creation execution mode. This generates a structured outline for your methodology section, allowing you to review and confirm the logical flow before full-chapter generation begins.

What is the best way to refine an existing methodology section for academic publication?

The best way to refine an existing methodology section is using a dedicated section refinement execution mode. This audits your current text against user notes and code, ensuring the updated content meets strict publication-ready standards.

Does the phased workflow allow me to review the plan before writing the full methodology section?

Yes, the phased workflow includes confirmation gates between the GATHER, PLAN, and WRITE_AUDIT stages. This requires you to review and approve the established MethodSpec and heading plan before any full methodology section generation occurs.