ma-scout
FeaturedMeta-analysis topic discovery and feasibility assessment. Professor-first (profile → gap) or Topic-first (question → gap → co-author). Pre-protocol phase from idea to ranked topic list.
Install
Quality Score: 95/100
Skill Content
Details
- Author
- Aperivue
- Repository
- Aperivue/medsci-skills
- Created
- 3 months ago
- Last Updated
- yesterday
- Language
- Python
- License
- MIT
Bundled in these plugins
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Semantically similar based on skill content — not just same category
meta-analysis
Systematic review and meta-analysis pipeline for medical research. Covers protocol registration (PROSPERO), search strategy, screening, data extraction, risk of bias assessment (QUADAS-2/ROBINS-I), statistical synthesis (bivariate/HSROC for DTA, random-effects for intervention), and PRISMA-compliant reporting. Supports both DTA and intervention meta-analyses.
find-cohort-gap
Research gap finder for longitudinal cohort databases. Profiles cohort strengths, matches PI expertise, scans literature saturation, and outputs ranked topic proposals with gap evidence. Works with any cohort: NHIS, UK Biobank, institutional EMR, health checkup registries, or disease-specific registries.
topic-workbench
「AI学术训练营」选题工作流总入口(乔淼PhD · AI学术工作流)。当用户想选题但没说用哪种模式时,先分诊:先判大类(研究性文章 / 综述性文章),再判最贴近的模式——研究性 ①理论诠释 ②假设检验 ③概念建构 ④方法驱动;综述性 系统 / 半系统 / 整合式(Snyder 三型)——然后转入对应的独立 skill 执行;用户已有现成选题只需结构化时转 topic-pxyv-parse。Trigger on:"帮我选题"、"选题工作流"、"我想做一个关于…的研究,帮我把选题磨出来"、"help me develop a research topic"、"topic coaching"。