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Compare two methods across multiple studies — paired meta-analysis protocol design. Budget: 30 studies, 30 effect sizes, 40 web searches.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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 | pairwise-synthesis |
| description | Compare two methods across multiple studies — paired meta-analysis protocol design. Budget: 30 studies, 30 effect sizes, 40 web searches. |
Design a pairwise meta-analysis protocol comparing method A vs method B across multiple independent studies.
When two methods (interventions, algorithms, approaches) have been compared across multiple studies, synthesize the evidence into a single quantitative estimate of relative performance. This strategy produces the complete protocol — stopping before computation.
| Resource | Floor | Target |
|---|---|---|
| Studies identified | 20 | 30 |
| Effect sizes extracted | 20 | 30 |
| Web searches | 25 | 40 |
| Quality assessments | 15 | 30 |
Budget gate: cannot exit until 80% of floor met.
<HARD-GATE>
| Metric | Current | Floor | Target | Status |
|--------|---------|-------|--------|--------|
| Studies found | 0 | 20 | 30 | BLOCKED |
| Effect sizes planned | 0 | 20 | 30 | BLOCKED |
| Web searches done | 0 | 25 | 40 | BLOCKED |
| Quality assessed | 0 | 15 | 30 | BLOCKED |
</HARD-GATE>
| Tactic | When to Use |
|---|---|
| effect-size-extraction | After study identification, extract paired effect sizes |
| quality-assessment-protocol | Assess RoB for each included study |
| evidence-synthesis-planning | After extraction, plan the statistical model |
| SOP | When to Use |
|---|---|
| pico-formulation | First — frame the comparison question |
| inclusion-criteria-design | After PICO — define what studies qualify |
| effect-size-planning | Determine which effect size metric to use |
| data-extraction-form | Design the extraction template |
| risk-of-bias-assessment | Per-study quality assessment |
| sensitivity-analysis-design | Plan robustness checks |
| publication-bias-assessment | Assess reporting bias |
| meta-analysis-synthesis | Final protocol assembly |
pico-formulation to structure the comparisoninclusion-criteria-design to define eligibilityeffect-size-extraction tactic for each studyquality-assessment-protocol tactic for bias riskevidence-synthesis-planning tactic for model selectionmeta-analysis-synthesis to produce protocolIterate steps 3-5 until budget floor is met. Check state ledger before each iteration.
protocol:
question: [PICO-structured question]
inclusion_criteria: [eligibility rules]
studies_included: [list with metadata]
effect_size_type: [SMD/OR/RR/MD]
model: [fixed-effect/random-effects]
heterogeneity_plan: [I2, tau2, subgroup, meta-regression]
sensitivity_plan: [leave-one-out, influence diagnostics]
bias_assessment_plan: [funnel plot, Egger's, trim-and-fill]
reporting: PRISMA-2020