學術辯論與觀點比較框架。 LOAD THIS SKILL WHEN: debate、辯論、pro/con、正反方、devil's advocate、挑戰假設、counter-argument、反駁、compare viewpoints、比較觀點、challenge、質疑 CAPABILITIES: 純指令技能,不需要專屬 MCP tool。利用 LLM 推理能力 + 現有 tools (read_draft, search_local_references) 完成分析。
純指令技能。LLM 結構化思考 + read_draft, search_local_references, mcp_cgu_deep_think, mcp_cgu_spark_collision。
觸發:辯論、pro/con、devil's advocate、挑戰假設、compare viewpoints
針對研究議題結構化正反方論點。按證據等級排列: SR/Meta > RCT > Cohort > Case-Control > Cross-Sectional > Case Series > Expert Opinion
輸出:Position A (supporting) → Position B (opposing) → Methodological Considerations (偏誤) → Synthesis (agreement / disagreement / clinical bottom line)
系統性挑戰一個研究主張。5 面向:
產出:Strengthening Recommendations(address counter-arguments, add sensitivity analysis, cite SR, frame conservatively)
多個理論/方法系統性比較。預設比較維度: Evidence Base, Theoretical Foundation, Clinical Applicability, Patient Safety, Cost-Effectiveness, Current Guidelines, Limitations
| Type | Key Biases |
|---|---|
| RCT | Selection, performance, detection, attrition, reporting |
| Cohort | Selection, confounding, information, loss to follow-up, healthy worker |
| Case-Control | Recall, selection (controls), confounding, misclassification, temporal ambiguity |
| Cross-Sectional | No temporality, prevalence-incidence, non-response, information |
| Retrospective | Information (records), survivorship, confounding, missing data |
Auto-detect:randomized/RCT=RCT, cohort/prospective=Cohort, case-control/odds=Case-Control, cross-sectional/prevalence=Cross-Sectional, retrospective/chart=Retrospective