yandex-metrica-skill

Project overview

Apply a seven-stage methodology that takes tabular data from cleaning and exploration through feature engineering, modeling, diagnosis, and an interpretable report. The workflow emphasizes leakage checks, baseline comparisons, cross-validation, and honest failure analysis rather than chasing a single score. It can run as a Claude Skill or as a portable prompt for other language models, with output adapted to the user's language.

Project overview

questionnaire-analysis-skill guides bilingual survey and scale research from questionnaire design and data cleaning through reliability and validity, group tests, regression, SEM, mediation, moderation, and APA reporting. It packages methodological references, result-sentence templates, checklists, and an offline threshold reference. The approach is tool-neutral but centers on SPSS and AMOS, with R examples for key steps.