T

Tutoring

知识管理v1.0.19
作者:CellCog更新于 2026-11-01共 20 个版本 · 最新版本发布于 2026-11-01tutoring-education-cellcog
#Learn#Education#Coding#Exam#Learning

据 AlphaMoat 统计,截至 2026-10,Tutoring 累计下载 6,822 次、获 9 个星标,按累计下载量在本次参与排名的 10,914 个 AI 技能中排名第 4,153 位,在「知识管理」分类(745 个)中排名第 291 位。

列表默认按累计下载量排序,也可按星标排序;详情页排名按累计下载量计算。

累计下载
6,822
星标
9
全站下载量排名
#4,153
全站前 39% · 「知识管理」前 40%
平台累计下载星标评论
ClawHub ↗6,8229-

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

该技能可协助解释概念、整理学习指南与练习题,并覆盖编程、语言、数学和科学等学习场景。技能卡提示提示词可能发送至 CellCog,包含私人学习、工作或个人资料;安装还存在供应链风险。高影响的学术、法律、医疗、财务或职业问题可能得到不完整或误导性回答,应对照权威资料或合格教师核实,并避免提交不应外传的信息。 需要 Python、经审核的 CellCog SDK 和 CELLCOG_API_KEY,先按基础 SDK 设置。辅导应使用 agent 模式而非研究 team 模式,重新提交任务前审核档位升级。

资料发布于 2026-10-29

可以用来做什么

  • 用类比或示例解释学习概念
  • 整理考试准备材料和练习题
  • 获得编程、语言、数学或科学学习辅助

什么时候用

  • 需要学习解释、练习或复习指导时
  • 确认提示词可发送至 CellCog,且重要结论会由权威来源或合格人员核实时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

用通俗语言解释这个概念并给出一个练习题;不要使用或要求我提供私人、工作或受监管信息。

月度数据趋势

累计下载6,822
5,1906,0676,9432026-07 · 累计下载 5,3112026-08 · 累计下载 5,9862026-09 · 累计下载 6,3762026-10 · 累计下载 6,82226-0726-0926-10
星标9
8992026-07 · 星标 82026-08 · 星标 92026-09 · 星标 92026-10 · 星标 926-0726-0926-10

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-106,822—9
2026-096,376—9
2026-085,986+12.7%9
2026-075,311—8

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

8.3 KB · ClawHub v1.0.17
---
name: tutoring-education-cellcog
description: "AI tutoring and education powered by CellCog. Study guides, exam prep, coding tutorials, language learning, math help, science explanations, practice problems — every subject, every level. Explains concepts via diagrams, analogies, worked examples, and interactive lessons."
metadata:
  openclaw:
    emoji: "📚"
    os: [darwin, linux, windows]
    requires:
      bins: [python3]
      env: [CELLCOG_API_KEY]
展开全部(共 285 行)
author: CellCog
homepage: https://cellcog.ai
dependencies: [cellcog]
---
# Tutoring & Education - The Tutor That Explains Five Different Ways

**The best tutors explain the same concept five different ways.** CellCog does too.

#1 on DeepResearch Bench (Apr 2026) for reasoning depth — deep enough to break concepts into first principles — combined with multi-modal output for every learning style: diagrams, analogies, worked examples, practice problems, interactive explanations, and full study guides. Any subject, any level.

## How to Use

For your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.

**OpenClaw (fire-and-forget):**
```python
result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
)
```

**All agents except OpenClaw (blocks until done):**
```python
from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="agent",
)
print(result["message"])
```


---

## How Learn-Cog Helps

### Concept Explanations

Understand anything:

- **Break It Down**: "Explain quantum entanglement like I'm 10 years old"
- **Multiple Angles**: "Explain recursion using 3 different analogies"
- **Deep Dives**: "Give me a comprehensive explanation of how neural networks learn"
- **Visual Learning**: "Create a diagram explaining the water cycle"

**Example prompt:**
> "Explain blockchain technology:
> 
> Level: Complete beginner, no tech background
> 
> Include:
> - Simple analogy to start
> - How transactions work
> - Why it's secure
> - Real-world examples
> - Common misconceptions
> 
> Use simple language, avoid jargon. Include a visual diagram."

### Homework & Problem Solving

Work through problems:

- **Math Problems**: "Solve this calculus problem and explain each step"
- **Science Questions**: "Help me understand this physics concept and solve these problems"
- **Essay Help**: "Help me structure an essay on the causes of World War I"
- **Code Debugging**: "Explain why my code isn't working and help me fix it"

**Example prompt:**
> "Help me understand this math problem:
> 
> Problem: Find the derivative of f(x) = x³sin(x)
> 
> I know basic derivatives but I'm confused about the product rule.
> 
> Please:
> 1. Remind me of the product rule
> 2. Apply it step by step
> 3. Give me 2 similar problems to practice
> 4. Show me how to check my answer"

### Study Materials

Prepare for success:

- **Study Guides**: "Create a study guide for AP Chemistry exam"
- **Flashcards**: "Generate 50 flashcards for Spanish vocabulary"
- **Practice Tests**: "Create a practice quiz on US History 1900-1950"
- **Summary Notes**: "Summarize Chapter 5 of my biology textbook"
- **Cheat Sheets**: "Create a one-page reference for Python syntax"

**Example prompt:**
> "Create a comprehensive study guide for the AWS Solutions Architect exam:
> 
> Cover:
> - Key services and when to use them
> - Networking concepts
> - Security best practices
> - Cost optimization strategies
> 
> Format: Clear sections, bullet points, diagrams where helpful
> Include: Practice questions after each section"

### Coding & Tech Learning

Level up your skills:

- **Language Learning**: "Teach me Python from zero to building a web app"
- **Code Review**: "Review my code and explain how to improve it"
- **Project Tutorials**: "Walk me through building a REST API step by step"
- **Concept Deep Dives**: "Explain how Docker containers actually work"

**Example prompt:**
> "Teach me React hooks:
> 
> My level: I know basic JavaScript and HTML/CSS, never used React
> 
> Structure:
> 1. What problem do hooks solve?
> 2. useState with simple examples
> 3. useEffect with practical use cases
> 4. When to use which hook
> 5. A mini-project putting it together
> 
> Include code examples I can run."

### Language Learning

Master new languages:

- **Grammar Explanations**: "Explain Japanese particles with examples"
- **Conversation Practice**: "Practice ordering food in French"
- **Writing Feedback**: "Check my Spanish essay and explain my mistakes"
- **Vocabulary Building**: "Teach me 20 essential business Chinese phrases"

---

## Learning Styles

Tell CellCog how you learn best:

| Style | Ask For |
|-------|---------|
| **Visual** | Diagrams, charts, infographics |
| **Examples** | Multiple worked examples, real-world applications |
| **Analogies** | Comparisons to familiar concepts |
| **Step-by-Step** | Detailed breakdowns, numbered procedures |
| **Big Picture** | Overview first, then details |
| **Hands-On** | Practice problems, projects |

---

## Subjects

CellCog can help with virtually any subject:

**STEM:**
- Mathematics (all levels through advanced calculus and beyond)
- Physics, Chemistry, Biology
- Computer Science and Programming
- Statistics and Data Science
- Engineering concepts

**Humanities:**
- History and Social Studies
- Literature and Writing
- Philosophy
- Languages
- Psychology

**Professional:**
- Business and Finance
- Marketing
- Project Management
- Design
- Legal concepts

**Tech Skills:**
- Programming languages
- Cloud platforms (AWS, GCP, Azure)
- DevOps and infrastructure
- Data engineering
- AI/ML concepts

---

## Choosing Mode & Tier

| Scenario | Recommended |
|----------|-------------|
| Explanations, practice problems, study help | `chat_mode="agent"` (defaults to the `"flash"` tier) |
| Full curriculum design, comprehensive study guides | `chat_mode="agent", chat_tier="max"` |

**The flash tier is the default and handles most tutoring well** — fast and economical. **Upgrade to `chat_tier="max"`** when quality disappoints or the work is genuinely complex: just re-run the same prompt with `chat_tier="max"`.

Agent Team (`chat_mode="team"`) is reserved for deep research — don't use it for tutoring.

---

## Example Prompts

**Concept explanation:**
> "Explain the concept of recursion in programming:
> 
> My level: Beginner programmer, comfortable with loops
> 
> I need:
> - Clear definition
> - Visual representation
> - 3 progressively harder examples (factorial, fibonacci, tree traversal)
> - Common mistakes to avoid
> - When to use recursion vs iteration
> 
> Language: Python"

**Exam prep:**
> "Create a study plan for the GRE:
> 
> Timeline: 2 months
> Goal: 320+ score
> Weak areas: Vocabulary and geometry
> 
> Include:
> - Weekly schedule
> - Resources to use
> - Practice test strategy
> - Day-before checklist
> 
> Make it realistic for someone working full-time."

**Language practice:**
> "Help me practice Japanese:
> 
> Level: JLPT N4
> Focus: Conversational situations
> 
> Create a dialogue practice:
> - Scenario: Asking for directions in Tokyo
> - Include vocabulary list
> - Grammar points used
> - Cultural notes
> - Variations to practice
> 
> Use romaji and kanji with hiragana readings."

---

## Tips for Better Learning

1. **State your level**: "Complete beginner" vs "I understand the basics" changes everything.

2. **Ask why**: Don't just ask for answers. Ask for explanations of the reasoning.

3. **Request practice**: Learning happens through doing. Ask for practice problems.

4. **Admit confusion**: "I don't understand the part where..." helps CellCog target explanations.

5. **Build on previous**: Reference what you already understand to get appropriate explanations.

6. **Active recall**: Ask CellCog to quiz you, not just explain. Testing improves retention.

---

## If CellCog is not installed

**Claude Code, Cursor, Codex + 70 more agents:** `npx skills add cellcog/skills --skill cellcog`
**OpenClaw:** `openclaw skills install @cellcog/cellcog`
**CellCog plugin users:** run `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool)
**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.

「知识管理」分类下的热门技能

搜索引擎知识管理

通过公开搜索URL在16个搜索引擎(7个国内直连+9个国际)中做跨引擎检索、结果去重与多源交叉验证,无需API Key,内置零依赖Python脚本。Use when 用户要求“搜一下/查资料/多找几个来源/核实消息/找公众号文章/排查报错/找论文或开源项目”时。输入自然语言查询词,输出带来源链接与可信度标注的结构化结果。不适用于私有数据检索、批量抓取、需要登录后可见的内容。

↓ 1075.9万★ 147u_8ee34d77
ima-skills知识管理

通过 IMA OpenAPI 管理笔记与知识库内容。

↓ 108.4万★ 566u_1742680f
Summarize知识管理

把长文本、文档与网页内容压缩成要点和关键词的摘要工具。

↓ 87.6万★ 1,048paudyyin
全网搜索知识管理

通过“查一下、搜一下、搜索、找一下”等自然语言检索公开网页,整理来源并交付横版 PDF、Markdown 与标题链接表。支持用户主动开启、查看和取消技能收藏,保留原报告取回。

↓ 50.9万★ 2u_32d99f8a
web-tools-guide知识管理

规定如何为网页请求选择合适工具的必读指引。

↓ 40.0万★ 220user_ec205dbb
Aihot Skill Lite知识管理

AI HOT(aihot.virxact.com)中文 AI 资讯查询 Skill,帮助用户获取今日 AI 圈动态、AI 日报、AI 热点、最新 AI 资讯以及 OpenAI、Anthropic、Google 等公司的最新发布信息。

↓ 32.1万★ 92Khazix
全球12亿文献知识库(8千万中文期刊可下载)知识管理

全球12亿文献知识库(8千万中文期刊可下载)——通过 SmartLib 开放平台 API 提供中外文学术文献检索与下载能力,覆盖 8000 万篇授权中文期刊全文 + 12.28 亿条全球文献元数据(期刊 7.19 亿 / 专利 2.15 亿 / 会议 7155 万 / 学位论文 2473 万 / 标准 268 万)。 能力:中英文关键词检索、文献详情、中文期刊 PDF 全文下载、外文 OA 文献十级渠道免费下载(不消耗配额)、智能关键词扩展、核心期刊优先排序、相关性重排、引文追溯、分类号检索。 配额:首次使用自动注册,免费 100 次检索 + 10 次下载 / 月;耗尽自动弹出套餐(体验卡 / 个人版月 / 专业版月 / 单篇下载 / 下载包),可说「升级 / 充值」唤起;企业 / 机构定制联系 [email protected]。 触发:用户表达"查论文""找文献""检索学术""搜期刊""查专利""找标准""下论文""写文献综述""找参考文献""查 SCI/EI"等意图时启用;也适用"帮我找关于 XX 的论文""写文献综述""找几篇引用支撑论点"。英文:"find papers" "search literature" "write literature review" "find supporting citations"。 调用前必须先用 /consume 获取 consume_token,再凭 token 调 /search(每次计费接口调用都需一次 /consume)。

↓ 30.3万★ 189user_164f4c1f
Markdown Converter知识管理

用 uvx 直接调用 markitdown,把各类文件转成 Markdown。

↓ 20.4万★ 256Peter Steinberger

CellCog 的其他技能

数据月份:2026-10 · 下载/星标数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。