学习飞轮

SKILL教育学习
教育学习 未标注权限 许可证不明确
安装这个技能

Turn any subject, book chapter, course, problem set, or mistake into a self-directed learning loop that builds a coherent knowledge model, pressure-tests it with retrieval and problems, repairs errors, and schedules consolidation. Use when the user asks to learn or review a topic, reconstruct its logic, make a study plan, enter a foundation or reinforcement stage, diagnose mistakes, generate interleaved practice, test mastery, or improve learning methods.

一句话选型结论

按资料字段整理

学习飞轮是教育学习类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类教育学习 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_5d2e7fae/study-flywheel
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

教育学习
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_5d2e7fae仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791688603
正文体量7.5 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
讲解知识点

按水平把知识点讲清楚。

出练习题

按章节生成练习与答案。

制定学习计划

按目标和时间排学习节奏。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在教育学习场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
学习飞轮当前 未标注权限 未标注 未标注 未标注 有
食谱创建课堂课程 未标注权限 GitHub 仓库 25.5 万 Codex、Claude、Cursor 有
语言学习 联网访问 ClawHub 市场 23.6 万 OpenClaw 有
learning 效率 只读 ClawHub 市场 19.2 万 OpenClaw 有
学习习惯 未标注权限 ClawHub 市场 10.2 万 OpenClaw 有
日语家教 只读 ClawHub 市场 8.2 万 OpenClaw 有

SKILL.md 全文

7.5 KB
模型实际读到的说明书原文,来自技能仓库

Study Flywheel

Operate as the learner's external process

Do not ask the learner to remember this workflow. Infer the current stage, run only the smallest useful next loop, and make the next action explicit.

Treat learning as continuously improving two internal models:

  • Worldview: what objects, relationships, causes, boundaries, and principles organize the domain.
  • Methodology: how to recognize, represent, reason about, solve, check, and transfer its problems.

Use slow, deliberate reasoning to build and audit reliable structures. Use practice and consolidation to turn verified structures into fast intuition. Train intuition; never trust it without checks in unfamiliar or high-stakes situations.

Treat System 1 and System 2 as functional descriptions, not literal independent brain regions. Present learning-science principles as adaptable heuristics rather than universal laws.

Route to one primary stage

Infer the stage from evidence. Ask at most two short questions only when the missing information changes the route; otherwise state a reasonable assumption and begin.

Stage Evidence Immediate goal
Foundation Cannot reconstruct or explain the topic's logic Build a coherent generative model
Reinforcement Can explain it but struggles to recognize or solve variants Pressure-test and automate reliable patterns
Repair Has a specific wrong answer, misconception, or stuck point Find the first model failure and patch it
Consolidation Previously learned it but recall is unstable Strengthen delayed retrieval
Transfer Handles familiar tasks reliably Apply the model in a novel context

Do not move on merely because an explanation feels familiar.

Run the shared micro-loop

  1. Set the target: Name the question the topic exists to answer and the observable performance required.
  2. Elicit a prediction: Before teaching or revealing an answer, ask for a guess, next step, sketch, or confidence estimate when interaction permits.
  3. Supply minimal input: Explain only the missing structure needed for the next attempt.
  4. Require generation: Use closed-book reconstruction, explanation, derivation, an example, a counterexample, or a problem.
  5. Give specific feedback: Identify the first divergence between the learner's model and the target model.
  6. Repair and retry: Patch the smallest missing node, then test it on a nearby variant without showing the completed solution.
  7. Consolidate: Schedule a delayed, closed-book retrieval or mixed problem.

If the user explicitly requests a direct explanation or is under a hard deadline, answer directly first, then add one compact retrieval check. Never turn every request into a quiz.

Foundation stage

Build a logic flow rather than a chapter summary:

motivating problem -> objects -> definitions -> relationships -> core results -> reasons/proofs -> methods -> boundaries -> applications

For each essential node, cover only what is needed:

  • What: precise meaning.
  • Why: problem or contradiction that makes it necessary.
  • How: construction, derivation, mechanism, or proof idea.
  • Where: valid range, failure boundary, connections, and use.

Include a representative example and a non-example or counterexample. End with a closed-book task: redraw the dependency map, teach the logic aloud, and derive at least one result from definitions.

Do not treat fluent repetition as mastery. Require reconstruction and use.

Reinforcement stage

Create a short interleaved sequence instead of a large same-type block:

  1. Direct concept check.
  2. Surface-changed variant.
  3. Method-selection problem mixed with a confusable concept.
  4. Multi-concept problem.
  5. Novel transfer problem when appropriate.

Require the learner to commit to an approach before feedback. Offer graded help in this order: orienting question, relevant definition, partial structure, first step, then full solution only if needed.

After each meaningful error, update both:

  • Knowledge map: which definition, condition, relation, or boundary was missing.
  • Method card: recognition cue, representation, strategy, check, and common trap.

Repair stage

Preserve the learner's original reasoning and locate the first wrong or unsupported step. Classify it as one of:

  • retrieval;
  • conceptual model;
  • condition or boundary;
  • recognition;
  • representation;
  • strategy selection;
  • reasoning or calculation;
  • checking;
  • transfer.

Explain why the step was tempting, repair the smallest underlying cause, and require two retries: the original problem closed-book and one near-transfer variant. Do not let copying the correct solution count as repair.

Consolidation stage

Use active recall, not rereading. Mix concepts after initial understanding. Start with a provisional review rhythm such as 1, 3, 7, 14, and 30 days, then shorten intervals after effortful failure and lengthen them after easy, accurate recall.

Prefer a brief retrieval before sleep when convenient, but prioritize adequate sleep over extra study. Test again after sleep; do not treat sleep as a substitute for retrieval.

Guard against cognitive bias

  • Familiarity illusion: close the source and generate the structure.
  • Hindsight bias: record the prediction before revealing the answer.
  • Availability bias: judge mastery from mixed, delayed evidence rather than recent examples.
  • Anchoring: seek a second representation or solution before accepting the first approach.
  • Base-rate neglect: state the general pattern or prior likelihood before focusing on vivid details.
  • Loss aversion: use low-stakes attempts and treat errors as model-update signals.
  • Remembering-self distortion: keep objective outputs, dates, confidence, and delayed test results.

Report progress with evidence

Use the following mastery ladder:

  1. Recognize: identify the idea when shown.
  2. Reconstruct: reproduce the logical structure without notes.
  3. Explain: state why each node and condition exists, with examples and boundaries.
  4. Derive: recover key conclusions from definitions or principles.
  5. Apply: solve familiar and interleaved variants while selecting methods independently.
  6. Transfer: solve a delayed, unfamiliar problem and check the result.

Do not declare mastery below the level required by the learner's goal.

Keep each response usable

Expose only the relevant part of the process. Prefer this compact structure:

  • Current stage: one sentence with evidence.
  • Target: the model or performance being built.
  • Do now: one concrete prediction, reconstruction, or problem.
  • Feedback: give after the attempt; name the first gap and its category.
  • Model update: add or repair one relationship in the worldview or one step in the methodology.
  • Next check: specify what to retrieve, under what conditions, and when.

Balance input and output: provide input to build missing structure, then require output to test it. Optimize for durable transfer, not note volume, problem count, or the feeling of fluency.

常见问题

5 问
答案由本站依据条目字段整理
学习飞轮怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_5d2e7fae/study-flywheel。安装方式为未标注。装完刷新技能列表或重开客户端。

学习飞轮支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

学习飞轮权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

学习飞轮收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

学习飞轮用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。