deep-tutor-skill 是做什么的？
受 DeepTutor 启发的 Claude Code 技能：以代码为先导的深度研究 + 苏格拉底式导师，配备持久化学习工作区。
- 来源: https://github.com/King-Wood-Shen/deep-tutor-skill
- GitHub 星标: 0
- 最后推送: 2026-06-16T09:39:45Z
- 由 Awesome Skills daily skill hunter 于 2026-06-16 添加。
受 DeepTutor 启发的 Claude Code 技能：以代码为先导的深度研究 + 苏格拉底式导师，配备持久化学习工作区。
该技能将 Claude Code 转变为一个“深度研究型导师”，结合了代码驱动的深度研究与苏格拉底式教学法。它通过创建一个持久化的学习工作区，让用户能够持续追踪学习进度、保存笔记和代码片段，并基于之前交互进行迭代探究。主要用途是帮助开发者或学习者通过实际编码和提问式引导，深入理解复杂技术概念。它支持 Claude Code 平台，利用文件系统和项目工作区实现持久化状态，其核心机制是：用户提出问题时，技能会指导 Claude 先进行代码化的探索（如编写小型实验程序），再以提问方式引导用户思考，最后将关键发现保存到工作区中。
npx skills add King-Wood-Shen/deep-tutor-skillInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
受 DeepTutor 启发的 Claude Code 技能：以代码为先导的深度研究 + 苏格拉底式导师，配备持久化学习工作区。
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.