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Agent Skill · 研究检索

learn-anything(学习任何东西)

learn-anything 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

learn-anything 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 26,529。

总安装 3,550周安装 145GitHub Stars 公开资料未说明下载 1,137核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.1.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:learn-anything(学习任何东西)
来源仓库:https://github.com/thinktankglobalbot/learn-anything
安装命令:
openclaw skills install learn-anything
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install learn-anything

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

创建个性化学习路径、查找精选资源、总结关键概念、生成测验并跟踪有效掌握主题的进度。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install learn-anything;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

learn-anything 怎么安装?

在终端执行 openclaw skills install learn-anything。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

learn-anything 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

learn-anything 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

learn-anything 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

learn-anything 用的人多吗?

公开数据是累计安装 3,550 次,近一周安装 145 次,下载 1,137 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

learn-anything 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
learn-anything

学习任何东西 · 本页

3,550—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
learn-anything
version
1.1.0
description
Master any topic with AI-powered learning paths using proven learning science methods including spaced repetition, active recall, and quizzing. Create personalized study plans, track progress, and retain knowledge long-term. Perfect for learning programming, languages, skills, and any subject. Keywords: learn, study, learning path, spaced repetition, quiz, flashcards, active recall, Feynman technique, education, tutorial, course, mastery, retention. Triggers: "help me learn X", "I want to study X", "create a learning path for X", "teach me X", "how do I learn X", "learning plan for X".

Learn Anything 🧠

Learn any topic and actually remember it.

Master any subject efficiently using evidence-based learning science methods. Create personalized learning paths with spaced repetition schedules, active recall quizzes, and progress tracking that ensures long-term retention—not just short-term cramming.

Why choose this skill:

  • ✅ Retention-focused - Optimized for long-term memory, not quick cramming
  • ✅ Science-backed - Every feature based on peer-reviewed learning research
  • ✅ 100% Free - No API costs, no hidden fees, works offline
  • ✅ Comprehensive - Learning paths, quizzes, progress tracking, all in one
  • ✅ Flexible - Works for ANY topic (programming, languages, skills, concepts)

Quick Start

Basic usage:

"Help me learn [topic]"
"Create a learning path for [topic]"
"Teach me [topic] step by step"

Examples:

  • "Help me learn Python programming"
  • "I want to understand options trading"
  • "Create a learning path for Japanese"
  • "Teach me about machine learning"

Core Workflow

When the user wants to learn something:

  1. Clarify goal — What specifically do they want to achieve? How deep?
  2. Assess level — Beginner, intermediate, or advanced?
  3. Generate learning path — Break topic into logical progression
  4. Curate resources — Find best free resources (articles, videos, docs)
  5. Summarize content — Distill key concepts
  6. Quiz for retention — Generate questions for active recall
  7. Track progress — Update learning journal

Learning Path Structure

Generate paths with:

  • Milestone — Clear checkpoint/goal
  • Resources — 2-3 best free resources for this step
  • Key concepts — What to understand
  • Practice — How to apply
  • Quiz — Self-check questions

Example output:

## Learning Path: Python for Beginners

### Milestone 1: Fundamentals (1-2 weeks)
Resources:
- Python.org tutorial (official)
- "Automate the Boring Stuff" - free online book

Key concepts:
- Variables, data types, operators
- Control flow (if/else, loops)
- Functions

Practice:
- Write a calculator program
- Create a simple number guessing game

Quiz:
1. What's the difference between a list and a tuple?
2. How do you define a function with default parameters?

### Milestone 2: Data Structures (1-2 weeks)
...

Learning Methods

Apply these proven techniques:

Spaced Repetition

  • Review material at increasing intervals: 1 day → 3 days → 1 week → 2 weeks
  • Suggest review schedule when user completes a milestone

Feynman Technique

  • Ask user to explain concept in simple terms
  • Identify gaps in their understanding
  • Refine explanation until clear

Active Recall

  • Generate quiz questions, not just summaries
  • Ask user to retrieve info, not re-read
  • Use flashcard-style prompts

Interleaving

  • Mix related topics rather than blocking
  • E.g., alternate between Python and JavaScript concepts

Pomodoro

  • Suggest 25-min focused sessions with 5-min breaks
  • Track session count for complex topics

Commands

CommandDescription
learn <topic>Generate full learning path
summarize <topic>Get key concepts summary
quiz me on <topic>Generate practice questions
next stepGet next milestone in current path
track progressUpdate learning journal

Learning Journal

Track progress in learning-journal.md:

## [Topic] - Started [Date]

### Completed
- [x] Milestone 1: Fundamentals (Feb 20)
- [ ] Milestone 2: Data Structures

### Current Focus
Working on: Lists and dictionaries
Next review: Feb 23 (spaced repetition)

### Quiz Results
- Feb 20: 8/10 on fundamentals quiz

References

For detailed learning science, see:

  • references/learning-methods.md — Deep dive on techniques
  • references/quiz-templates.md — Quiz generation patterns

Scripts

  • scripts/generate-quiz.py — Create quizzes from content
  • scripts/track-progress.py — Update learning journal

Tips

  • Start small — First milestone should be completable in 1-2 hours
  • Build momentum — Quick wins increase motivation
  • Focus on practice — Passive learning is weak; build things
  • Teach back — If you can't explain it, you don't understand it
  • Iterate — Adjust path based on what works

Competitive Comparison

Why choose Learn Anything over other learning skills?

FeatureLearn Anythinglearn-anything-in-one-hourlearn-anything-pro
FocusLong-term retentionQuick 1-hour crash coursesExpert resource curation
Learning Science✅ Full suite (spaced repetition, active recall, Feynman, interleaving)❌ None⚠️ Limited
Quizzing✅ Built-in, multiple types❌ No quizzing❌ No quizzing
Progress Tracking✅ Learning journal + metrics❌ None❌ None
Cost✅ 100% FREE✅ Free❌ $0.001/call (paid API)
Personalization✅ Adaptive to your level⚠️ One-size-fits-all⚠️ Curated but not personalized
Topics✅ ANY topic✅ Most topics✅ Curated topics only
Best ForLifelong learners who want lasting knowledgeQuick overviews, fast resultsExpert content discovery

When to use this skill:

  • You want to actually remember what you learn (not just cram)
  • You need a structured learning path with clear milestones
  • You want built-in quizzing and progress tracking
  • You prefer FREE, offline-capable tools
  • You're learning complex topics that require retention (programming, languages, professional skills)

When to consider alternatives:

  • You need a 1-hour crash course → try learn-anything-in-one-hour
  • You want expert-curated resource lists → try learn-anything-pro (paid)

Integration & Export

Works with your favorite tools:

Anki (Flashcards)

Export quiz questions to Anki for spaced repetition:

python scripts/generate-quiz.py --format anki --output deck.apkg

Obsidian (PKM)

Track your learning journey in Obsidian:

  • Use templates from assets/learning-path-template.md
  • Auto-update learning journal in your vault

Notion (Progress Tracking)

  • Export learning paths to Notion databases
  • Track milestones and quiz results

Calendar Integration

  • Add spaced repetition review sessions to your calendar
  • Get reminders for optimal review times

Success Stories

What users are saying:

  • "Finally, a learning skill that focuses on retention, not just consumption!"
  • "The quizzing feature helped me actually remember what I learned weeks later"
  • "Perfect for my ADHD brain - clear milestones and quick wins"
  • "I learned Python basics in 2 weeks and actually remember it months later"

Popular Learning Paths

Top requested topics:

  • Programming (Python, JavaScript, Rust, Go)
  • Languages (Japanese, Spanish, Mandarin, Tagalog)
  • Professional Skills (public speaking, writing, leadership)
  • Technical Skills (machine learning, data science, DevOps)
  • Creative Skills (photography, music production, design)
  • Personal Development (productivity, finance, health)

Request a new topic: Just ask! "Help me learn [any topic]" works for anything.

Contributing

Found a bug or have a feature request?

  • Open an issue on GitHub
  • Share your learning paths with the community
  • Contribute quiz templates and learning resources

License

MIT — use freely, modify, share.


Made with 🦀 for OpenClaw | Learn anything. Remember everything.

平台分布

OpenClaw

87.01%
按下载量换算989

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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