What happens if my data is missing empirical results?

The detector will label non-empirical results as inferred, hypothetical, or unavailable, ensuring that the final recommendation accounts for the level of evidence present.

Does this skill write the actual research paper for me?

No, this is a diagnostic tool designed to evaluate and plan the structure of your content. It identifies gaps and applicability but does not generate the full text of an IMRaD article.

Can it identify if a method is only implied?

Yes, the skill specifically classifies components as 'inferable' if they are not explicitly stated but can be reasonably deduced from the provided context.

When should I avoid using the IMRaD Structure Detector?

Avoid using it for simple Q&A tasks, tutorials, creative writing, or tasks where you have already decided to write a full paper and do not need a structural diagnosis.

IMRaD Research Structure Detector

Name: IMRaD Research Structure Detector
Author: narumiruna

bynarumiruna

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데이터 과학 및 ML

Analyzes source material to determine its suitability for the IMRaD research format and identifies missing structural components.

The IMRaD Structure Detector is a specialized diagnostic tool designed for researchers, technical writers, and analysts to evaluate whether their content or project tasks align with the standard scientific framework of Introduction, Methods, Results, and Discussion (IMRaD). It systematically assesses the presence of key sections, classifies them as explicit, partial, or inferable, and identifies necessary assumptions for drafting. By providing a clear go/no-go recommendation, this skill ensures that structural decisions are made based on content readiness rather than stylistic preference, preventing the forced application of research structures to incompatible data.

주요 기능

017 GitHub stars

02Go/No-go recommendations for formal research drafting

03IMRaD applicability scoring (High, Medium, or Low)

04Gap analysis for missing empirical evidence and results

05Section-by-section availability diagnostics

06Classification of content as explicit, partial, or inferable

사용 사례

01Identifying missing components in a manuscript before the writing phase

02Assessing fragmented research notes for structural readiness

03Determining if a technical report should follow a scientific IMRaD format

주요 기능

017 GitHub stars

02Go/No-go recommendations for formal research drafting

03IMRaD applicability scoring (High, Medium, or Low)

04Gap analysis for missing empirical evidence and results

05Section-by-section availability diagnostics

06Classification of content as explicit, partial, or inferable

사용 사례

01Identifying missing components in a manuscript before the writing phase

02Assessing fragmented research notes for structural readiness

03Determining if a technical report should follow a scientific IMRaD format