Can I use C1 for qualitative research projects?

No, C1 is exclusively focused on quantitative paradigms. For qualitative designs like phenomenology or grounded theory, you should use the C2-Qualitative Design Consultant.

Does C1 help with statistical power calculations?

Yes, it provides parameters for power analysis and sample size calculations using industry-standard tools like G*Power, R (pwr), and Python (statsmodels).

What makes C1 different from standard research assistants?

C1 uses a unique VS-Research methodology to intentionally avoid 'modal' or overused designs, suggesting more innovative and context-specific alternatives like Adaptive Trial or SMART designs.

What are the primary triggers for this skill?

C1 is triggered by keywords like RCT, quasi-experimental, survey design, power analysis, sample size, factorial design, and sampling strategy.

Quantitative Design Consultant

Name: Quantitative Design Consultant
Author: HosungYou

byHosungYou

0•

データサイエンスとML

Architects optimized quantitative research designs, experimental methodologies, and sampling strategies using an enhanced three-phase validation process.

The C1 Quantitative Design Consultant is a specialized capability for Claude Code designed to elevate research methodology beyond standard, overused experimental frameworks. By applying a 'VS-Research' 3-phase process, it identifies 'modal' or predictable designs and proposes more innovative, context-optimal strategies such as Interrupted Time Series, Regression Discontinuity, or SMART designs. It provides comprehensive support for the entire quantitative lifecycle, including rigorous power analysis, validity threat mitigation, material development, and complex sampling strategies to ensure scientific rigor and statistical power.

主な機能

01Integrated sampling strategy advisor for probability and non-probability methods

02Comprehensive library of experimental, quasi-experimental, and survey design structures

03Three-phase VS-Research process to identify and move beyond overused 'modal' designs

04Automated power analysis and sample size calculation (G*Power, R, Python support)

05Internal and external validity threat identification and control strategy mapping

060 GitHub stars

ユースケース

01Planning high-stakes Randomized Controlled Trials (RCT) with specific power and alpha requirements

02Designing quasi-experimental studies like Regression Discontinuity when random assignment is unfeasible

03Developing longitudinal survey methodologies and cohort tracking strategies

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hosungyou/diverga c1

For use in Claude.ai and ChatGPT

Download Skill