Generate machine-readable YAML describing Skill Unit metadata fields.
npx skills add https://github.com/murzoglu/doktoratezi --skill t1dm-tez-rehberi
Please help me install this Agent Skill. Skill: t1dm-tez-rehberi Source: https://github.com/murzoglu/doktoratezi/tree/main/.claude/skills/t1dm-tez-rehberi Command: npx skills add https://github.com/murzoglu/doktoratezi --skill t1dm-tez-rehberi
This Skill provides a comprehensive, library-like framework for planning, executing, and reporting a Turkish PhD thesis on Type 1 Diabetes (family context), including study design, data management, psychometrics, advanced analyses, open science practices, and Turkish APA 7-compliant writing.
Load the tez rehberi project and run the SAP v3.0 pipeline to begin thesis planning.
High-intent search queries and answers about installing and using this skill.
Plan a Turkish PhD thesis on Type 1 Diabetes by loading the tez rehberi project and running the SAP v3.0 pipeline, which integrates multilevel modeling and Bayesian analyses into an end-to-end workflow from study design to manuscript.
DAG-based causal inference is tailored for a 241-family Type 1 Diabetes study within this framework, enabling you to map causal relationships and structure your psychometric validation alongside network and latent variable techniques.
Ensure thesis reporting complies with Turkish APA 7 standards by using the pipeline's reproducible reporting features, which generate ready-to-submit Turkish APA 7 results paragraphs and figures directly from your analysis outputs.
This thesis workflow supports open science practices by providing a comprehensive framework that includes reproducible analysis pipelines, data management protocols, and OSF integration to support discovery and reuse of your Type 1 Diabetes research.
Psychometric validation is needed when measuring latent constructs within Type 1 Diabetes families, ensuring your instruments are statistically robust before applying advanced multilevel or Bayesian techniques to your study data.
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