القائمة
Build evidence network graph for network meta-analysis — nodes, edges, geometry assessment
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
SOTA Performance Baseline Campaign — 5 strategies for systematically collecting, standardizing, and analyzing performance data across methods. Produces standardized comparison tables, progress curves, and headroom analysis.
Assess systematic biases in the evidence body — publication bias, reporting bias, and selective outcome reporting. Budget: 40 studies, 40 effect sizes, 40 web searches.
Track evidence accumulation over time — cumulative meta-analysis protocol design. Budget: 40 studies, 40 effect sizes, 30 web searches.
Design structured data extraction form for systematic meta-analysis data collection
Systematically extract effect sizes and conditions from papers for meta-analytic synthesis
Determine effect size types and calculation methods for meta-analytic synthesis
| name | evidence-network-construction |
| description | Build evidence network graph for network meta-analysis — nodes, edges, geometry assessment |
| execution | subagent |
| prompt | ./prompt.md |
| input | treatment_comparisons, study_arms |
| used-by | meta-analysis |
Build and assess the evidence network graph for network meta-analysis, mapping treatment nodes, direct comparison edges, and evaluating network geometry.
treatment_comparisons: All pairwise comparisons available in included studiesstudy_arms: Study arm-level data (treatments, sample sizes)Complete network geometry description with connectivity assessment, comparison matrix, and transitivity evaluation.