research-cycle-skill 是做什麼的？
Codex 技能：封閉循環研究流程，包含多智能體對抗性缺口發現、Semantic Scholar 驗證，以及七階段研究循環
Codex 技能：封閉循環研究流程，包含多智能體對抗性缺口發現、Semantic Scholar 驗證，以及七階段研究循環
此技能實現了一個由 AI 驅動的封閉循環研究流程，適合使用 Codex 等平台的開發者與研究人員。它透過多智能體對抗性缺口發現機制，自動辯論並找出研究文獻中的空白；並整合 Semantic Scholar API 進行文獻驗證與引用分析。整個流程遵循七階段研究循環，從問題定義到最終報告生成，確保研究過程的系統性與完整性。該技能可大幅提升文獻回顧的效率，並有助於發現尚未被充分探討的研究方向，特別適合需要快速掌握領域前沿的用戶。它支援在 Codex 環境中直接執行，無需切換多個工具。
npx skills add kris-yun/research-cycle-skillInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Codex 技能：封閉循環研究流程，包含多智能體對抗性缺口發現、Semantic Scholar 驗證，以及七階段研究循環
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.