kaoyan_skills

In the author's own words, from each skill's SKILL.md — showing the first 30 of 51 files.

• chapter-summary

  整理考研数学/专业课章节笔记，生成结构化总结文件。**触发词**："章节总结"、"整理章节"、"汇总这一章"、"章节笔记"、"数学���记总结"、"整理数学笔记"、"做一个总结"、"总结一下这一章"、"帮我总结"、"写个XX的章节总结"。功能包括：提取重要定义定理公式、保留个人理解、按章节结构组织、生成📝章节总结.md文件。**支持科目**：考研数学、数字电子技术、模拟电子技术等。

  chapter-summary/SKILL.md on GitHub (opens in a new tab)

• defuddle

  Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page.

  defuddle/SKILL.md on GitHub (opens in a new tab)

• digest

  自我学习阶段。回顾本次学习会话，记录学习心得和错误到 .learnings/，当文件超阈值时自动压缩去重，更新 RULES.md，促进系统持续改进。触发时机：用户审核通过 evaluate 产出并明确要求记录学习后，Phase 6。

  digest/SKILL.md on GitHub (opens in a new tab)

• docx

  Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing image…

  docx/SKILL.md on GitHub (opens in a new tab)

• excalidraw-diagram

  Generate Excalidraw diagrams from text content. Supports three output modes - Obsidian (.md), Standard (.excalidraw), and Animated (.excalidraw with animation order). Triggers on "Excalidraw", "画图", "流程图", "思维导图", "可视化", "diagram", "标准Excalidraw", "standard excalidraw", "Excalidraw动画", "动画图", "animate".

  excalidraw-diagram/SKILL.md on GitHub (opens in a new tab)

• fix-table-pipe

  修复 Markdown 表格渲染问题，包括：(1) Callout 块内表格前缺少空行；(2) LaTeX 行内公式中管道符 $|...|$ 被误解析为表格分隔符（含整行结构已崩坏的修复）；(3) 检测孤立 $ 符号和奇数 $ 数等行结构异常。**自动触发**：每次写入包含表格的文件后，自动检查表格格式是否符合 Obsidian Markdown 规范。手动触发：当用户提到"表格格式错误"、"表格显示异常"、"表格渲染问题"、"Callout 表格"时使用此 skill。

  fix-table-pipe/SKILL.md on GitHub (opens in a new tab)

• json-canvas

  Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.

  json-canvas/SKILL.md on GitHub (opens in a new tab)

• kaoyan-electronics-circuit

  822电子技术基础电路图与电路题分析模块。用于图片/文字电路识别、模电静态/动态分析、数电逻辑/时序分析、电路图生成、微变等效图生成，并自动衔接题型SOP和错题归因。

  kaoyan-electronics-circuit/SKILL.md on GitHub (opens in a new tab)

• kaoyan-electronics-core

  822电子技术基础核心协调模块。用于专业课进度、欠账、阶段策略、错题标签、MemOS同步、模电/数电优先级和与kaoyan-plan的完成汇报联动。

  kaoyan-electronics-core/SKILL.md on GitHub (opens in a new tab)

• kaoyan-electronics-sop

  822电子技术基础题型SOP模块。用于模电/数电高频题型训练、解题步骤、检查清单、错题归因和考研答题模板。

  kaoyan-electronics-sop/SKILL.md on GitHub (opens in a new tab)

• kaoyan-electronics-structure

  822电子技术基础知识结构与章节复盘模块。用于模电/数电章节定位、前置知识判断、高频题型映射、学习顺序建议、章节卡片和进度骨架生成。

  kaoyan-electronics-structure/SKILL.md on GitHub (opens in a new tab)

• kaoyan-electronics

  822电子技术基础考研学习入口。用于湖南大学822专业课的新学、题型训练、错题回收、章节复盘、模电/数电进度推进。默认围绕“章节输入 -> 题型SOP -> 错题归因 -> 进度更新”的考研闭环执行。

  kaoyan-electronics/SKILL.md on GitHub (opens in a new tab)

• kaoyan-english-core

  This skill manages the core infrastructure for 考研英语 (Chinese graduate entrance English exam) vocabulary learning, including MemOS integration for persistent storage, dispatch signal processing, memory compression mode, unified error tracking, and dynamic phase-based vocabulary targeting.

  kaoyan-english-core/skill.md on GitHub (opens in a new tab)

• kaoyan-english-quiz

  This skill handles vocabulary quizzes and testing for 考研英语 (Chinese graduate entrance English exam). Use it when users want to test vocabulary knowledge with meaning quizzes, collocation exercises, polysemy-focused tests, or track quiz results with detailed error analysis.

  kaoyan-english-quiz/skill.md on GitHub (opens in a new tab)

• kaoyan-english-review

  This skill handles review planning and progress tracking for 考研英语 (Chinese graduate entrance English exam) vocabulary learning. Use it when users want to generate spaced repetition schedules based on the SM-2 algorithm, track vocabulary statistics, get daily review lists, or analyze learning progress with phase-based strategies.

  kaoyan-english-review/skill.md on GitHub (opens in a new tab)

• kaoyan-english-vocab

  This skill handles vocabulary organization and word lookup for 考研英语 (Chinese graduate entrance English exam). Use it when users want to extract vocabulary from PDF exports (墨墨/百词斩), generate real exam context articles, detect polysemy (rare word meanings), look up word information, or organize vocabulary cards.

  kaoyan-english-vocab/skill.md on GitHub (opens in a new tab)

• kaoyan-english-writing

  This skill handles writing output training for 考研英语 (Chinese graduate entrance English exam). Use it when users want to practice writing vocabulary replacement, Chinese-to-English translation exercises, word differentiation tasks, or access writing vocabulary libraries for argumentative essays, chart descriptions, and letter writing.

  kaoyan-english-writing/skill.md on GitHub (opens in a new tab)

• kaoyan-english

  考研英语入口路由器。用于英语二词汇、阅读高亮词、复习计划、单词测试、写作输出训练和英语学习状态检查。默认只加载一个最匹配子模块：vocab、review、quiz、writing 或 core。

  kaoyan-english/SKILL.md on GitHub (opens in a new tab)

• kaoyan-info

  This skill should be used when the user asks to collect graduate entrance exam (考研) information, create/modify exam preparation documents, or update existing study guides with latest data.

  kaoyan-info/SKILL.md on GitHub (opens in a new tab)

• kaoyan-math-core

  This skill manages the core infrastructure for 考研数学 (Chinese graduate entrance math exam) learning, including MemOS integration for persistent storage, dispatch signal processing, unified error tracking, cross-subject knowledge linking (math→electronics), and proactive knowledge point association.

  kaoyan-math-core/skill.md on GitHub (opens in a new tab)

• kaoyan-math-notes

  This skill handles note generation and updates for 考研数学 (Chinese graduate entrance math exam) preparation. Use it when users want to generate exam-oriented study notes from existing materials, update notes based on feedback, or create structured learning content with LaTeX formatting.

  kaoyan-math-notes/skill.md on GitHub (opens in a new tab)

• kaoyan-math-structure

  This skill provides knowledge point structure templates and module organization for 考研数学 (Chinese graduate entrance math exam). Use it when users want to query the directory structure of high math/linear algebra/probability, get knowledge point relationship graphs, or understand chapter organization.

  kaoyan-math-structure/skill.md on GitHub (opens in a new tab)

• kaoyan-math-summary

  整理考研数学章节笔记，生成结构化总结文件。**触发词**："章节总结"、"整理章节"、"汇总这一章"、"章节笔记"、"数学笔记总结"、"整理数学笔记"、"做一个总结"、"总结一下这一章"、"帮我总结"。功能包括：提取重要定义定理公式、保留个人理解、按章节结构组织、生成📝章节总结.md文件。

  kaoyan-math-summary/SKILL.md on GitHub (opens in a new tab)

• kaoyan-math

  考研数学入口路由器。用于数学二学习中的概念理解、笔记生成、推导补全、题目讲解、知识结构查询、进度/欠账检查。默认只加载一个最匹配子模块：notes、structure 或 core。

  kaoyan-math/SKILL.md on GitHub (opens in a new tab)

• kaoyan-plan

  Generate and maintain 考研 study plans, daily schedules, weekly reviews, task debt recovery, and completion records for the 湖南大学控制工程与科学专硕 prep project. Use for "今天怎么学", "安排计划", "完成了什么", "补计划", "周复盘", and schedule optimization.

  kaoyan-plan/SKILL.md on GitHub (opens in a new tab)

• knowledge-base-organizer

  This skill should be used when the user asks to organize documents, generate/update MOC (Map of Content), extract concepts from notes, build document links, identify document types, or analyze knowledge gaps in their Obsidian knowledge base.

  knowledge-base-organizer/SKILL.md on GitHub (opens in a new tab)

• knowledge-learning

  This skill should be used when the user asks to learn about a topic, understand a concept, get explanations about technical subjects, or requests knowledge about any domain.

  knowledge-learning/SKILL.md on GitHub (opens in a new tab)

• knowledge-mindmap

  自动分析知识点目录结构，生成 Excalidraw 格式的详细思维导图。适用于考研数学、专业课等知识体系的可视化整理。触发词包括"知识点思维导图"、"生成思维导图"、"知识结构图"、"目录结构图"。

  knowledge-mindmap/skill.md on GitHub (opens in a new tab)

• maintain-learnings

  维护 .learnings/ 经验库，把过多或反复出现的学习记录、错误日志、规则失效问题聚类诊断，追溯并修改对应 skill、模板、hook、校验脚本或项目规则；修复并验证后再归档或移除已解决记录；同时检查 Codex .agents/skills 与 Claude Code .claude/skills 的共享功能同步。用户提到 learnings 太多、错误反复犯、清理经验库、维护自我学习、压缩错误日志、从错误中修技能、同步 Codex 和 Claude Code 技能时触发。

  maintain-learnings/SKILL.md on GitHub (opens in a new tab)

• math-graph

  使用 Python + Matplotlib 生成教科书级别的数学函数图像。当用户想要画函数图、生成图像、可视化数学概念、替换 ASCII 字符图时使用此技能。支持任意函数表达式、多图对比、专业标注。

  math-graph/SKILL.md on GitHub (opens in a new tab)

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