@wangjinhongmy-pixel

psychology-data-analysis guides users through selecting appropriate statistical tests for psychological research, executing analyses in python or spss, and interpreting results with effect sizes and apa formatting.

psychology-experiment-planner guides researchers through pre-data-collection planning by systematizing variable definition, measurement tool selection, sample size calculation, and analysis plan alignment. covers design types, measurement logistics, and common omission patterns.

prompt-tuner automatically optimizes verbose user requests (50+ characters) into structured, actionable instructions before execution. covers intent clarification, context completion, and step decomposition for complex tasks.

paper-buddy presents a framework for translating academic papers into accessible, humorous explainers with paired casual and formal language modes. the spec prioritizes content ordering and terminology handling but lacks operational clarity on execution.

paper-finder retrieves academic literature by topic, title, or keyword from multiple databases, returning journal metadata, impact factors, and download links. explicitly refuses to fabricate absent results.

自动识别技术名词，逐个用“是什么→解决什么问题→生活比喻”三步法，用易懂语言帮零基础小白理解专业术语。