以確定性的複合熱點分數（近期加權變動 × 認知複雜度 × JaCoCo覆蓋缺口）對 Java 檔案、方法及 REST API 端點進行排名，以優先產生測試。同時是 Claude Code 的技能/外掛。
此技能提供一個資料驅動的方法來識別 Java 專案中需要優先測試的區域。它會分析每個檔案、方法及 REST API 端點，並計算一個「複合熱點分數」，該分數結合了近期程式碼變動頻率（加權越近期越重要）、認知複雜度（衡量程式碼的難以理解程度）以及 JaCoCo 行覆蓋率缺口（未被測試覆蓋的範圍）。此分數越高，表示該程式碼區塊越需要優先編寫或強化測試。支援 Claude Code 整合，也適用於 Cursor、Codex 等 AI 編碼代理平台，可作為 CLI 工具或直接整合至開發工作流程，有效引導測試生成，提升軟體可靠性與維護性。
npx skills add baekchangjoon/hotspot-analysisInstalled? 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 →
以確定性的複合熱點分數（近期加權變動 × 認知複雜度 × JaCoCo 覆蓋缺口）對 Java 檔案、方法及 REST API 端點進行排名，以優先產生測試。同時是 Claude Code 的技能/外掛。
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.