Design rigorous empirical studies and experiment protocols from research questions.
npx skills add https://github.com/victoriacity/openakari --skill design-victoriacity
Please help me install this Agent Skill. Skill: design Source: https://github.com/victoriacity/openakari/tree/main/.claude/skills/design Command: npx skills add https://github.com/victoriacity/openakari --skill design-victoriacity
This Skill helps researchers and developers design rigorous, well-defined experiments and research protocols, ensuring methodological soundness and clear outcomes.
Use the design skill to create a rigorous experiment plan for testing the impact of a new summarization model on user engagement.
High-intent search queries and answers about installing and using this skill.
To design a rigorous experiment protocol, formulate a falsifiable hypothesis, define independent, dependent, and controlled variables with justifications, and outline step-by-step experimental methods. You must explicitly address validity threats and define success criteria.
Hypothesis testing involves crafting falsifiable hypotheses grounded in evidence to validate research questions. You formulate them by identifying specific variables and ensuring the hypothesis can be disproven through empirical study methods and defined metrics.
To define metrics for experiment design, select and justify appropriate metrics by considering their assumptions and failure modes. You avoid validity threats by explicitly addressing position bias, sample size, confounds, and construct validity in your research protocol.
Yes, you can use this methodology to estimate costs and define success criteria for empirical studies. The experiment design process explicitly includes cost estimation and outlines success criteria according to established schemas to ensure methodological soundness.
The best way to structure step-by-step experimental methods is to outline procedures referencing specific tools and parameters. This method design ensures clear outcomes by systematically defining the experimental path from hypothesis to success criteria.
Victory-HugoGenerate agency-compliant grant proposals for NSF, NIH, DOE, and DARPA.
lilbom32Analyze data distributions, variability, and statistical significance for decision-making.
autostay-krPlan, design, implement, and analyze A/B tests with statistical significance.
AlterLab-IEUDesigns research methodologies and documents analysis plans for social science, education, health, and communication studies.
