Can I use this for non-clinical machine learning research?

Yes, while it follows clinical standards, it includes generic ML templates for hyperparameter search, cross-validation, and feature importance (SHAP) suitable for any ML paper.

How does it handle model validation reporting?

The skill provides specific frameworks for internal validation (bootstrapping, cross-validation), temporal splits, and independent external validation datasets.

Does it help with performance metrics?

It provides standardized reporting formats for discrimination (AUC-ROC, C-statistic), calibration (plots, slopes), and clinical utility (decision curve analysis).

What reporting guidelines does this skill follow?

This skill is primarily aligned with the TRIPOD+AI statement (2024), which provides updated guidance for reporting clinical prediction models using regression or machine learning.

Prediction Model & ML Paper Writer

Name: Prediction Model & ML Paper Writer
Author: olaTechie

byolaTechie

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Data Science & ML

Generates publication-ready methods and results sections for clinical prediction and machine learning papers using TRIPOD+AI standards.

The Prediction Model and Machine Learning skill is a specialized module for researchers and data scientists that streamlines the academic writing process for quantitative studies. It provides structured, past-tense templates for complex sections including participant eligibility, predictor definitions, model development strategies, and performance metrics like AUC-ROC and calibration. By enforcing alignment with the TRIPOD+AI (2024) reporting guidelines, this skill ensures that manuscripts meet the rigorous transparency and reproducibility standards required by high-impact clinical and technical journals, covering everything from hyperparameter tuning to SHAP-based feature importance.

Key Features

010 GitHub stars

02Standardized formatting for feature importance and hyperparameter tuning

03TRIPOD+AI guideline alignment for clinical and ML studies

04Automated reporting for model validation, discrimination, and calibration

05Built-in software citation and data availability frameworks

06Structured Methods templates for reproducibility and technical detail

Use Cases

01Drafting the Methods section for a clinical diagnostic or prognostic model

02Reporting performance and internal validation results for a machine learning study

03Ensuring manuscript compliance with international reporting checklists before submission

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add olatechie/scientific-paper-writer study-types

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Standardized formatting for feature importance and hyperparameter tuning

03TRIPOD+AI guideline alignment for clinical and ML studies

04Automated reporting for model validation, discrimination, and calibration

05Built-in software citation and data availability frameworks

06Structured Methods templates for reproducibility and technical detail

Use Cases

01Drafting the Methods section for a clinical diagnostic or prognostic model

02Reporting performance and internal validation results for a machine learning study

03Ensuring manuscript compliance with international reporting checklists before submission