critical-thinking-logical-reasoning 是做什麼的？
當明確要求對文章、部落格、逐字稿及報告（非程式碼）等書面內容進行批判性分析時，所使用的批判性思考與邏輯推理分析技能。
當明確要求對文章、部落格、逐字稿及報告（非程式碼）等書面內容進行批判性分析時，所使用的批判性思考與邏輯推理分析技能。
此技能專為 AI 代理（如 Claude Code、Cursor、Codex 等）設計，使其能夠對非程式碼的書面內容（例如文章、部落格、逐字稿和報告）進行深入且結構化的批判性分析。它運用邏輯推理框架，協助代理識別論證中的邏輯謬誤、評估證據的品質與相關性、檢視隱藏的假設與偏見，並提供有條理的評價摘要。透過遵循此技能的指引，開發者可以獲得更客觀、中立且經過深思的內容洞察，而不是單純的事實彙整或摘要。此技能的重點在於「分析」而非「理解」，特別適合用於需要評估資訊可信度、論證結構或潛在偏見的場景。
npx skills add https://github.com/sammcj/agentic-coding/tree/main/skills/critical-thinking-logical-reasoningInstalled? 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 →
當明確要求對文章、部落格、逐字稿及報告（非程式碼）等書面內容進行批判性分析時，所使用的批判性思考與邏輯推理分析技能。
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.