基于 Benjamin Bloom 的 2 Sigma 问题与掌握学习法,创建并推进一对一个性化学习路径。Use when the user says they want to learn a topic step by step, asks for an interactive learning plan, submits answers to checkpoint questions…

MITAuto-check passed

Install Learning Skill

skills CLI
$ npx skills add zifengyuan6-star/xuexi-learning-skill --skill learning-skill -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zifengyuan6-star/xuexi-learning-skill learning-skill --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zifengyuan6-star/xuexi-learning-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/learning-skill .claude/skills/learning-skill && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
learning-skill
GitHub stars
112
Token cost
~534 tokens
SKILL.md length
216 words
Files
2
Skills in repo
2
Repo updated
First seen
Licence
MIT

At a glance

基于 Benjamin Bloom 的 2 Sigma 问题与掌握学习法,创建并推进一对一个性化学习路径。Use when the user says they want to learn a topic step by step, asks for an interactive learning plan, submits answers to checkpoint questions…

  • Works in 7 steps: Identify the learning topic and the… → Create a topic folder named after the… → Create or update 进度.md inside the topic… → …
  • The user says they want to learn a topic step by step
  • SKILL.md covers Overview, Workflow, Lesson Structure and Mastery Decision, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Learning Skill is an agent skill from zifengyuan6-star/xuexi-learning-skill. 基于 Benjamin Bloom 的 2 Sigma 问题与掌握学习法,创建并推进一对一个性化学习路径。Use when the user says they want to learn a topic step by step, asks for an interactive learning plan, submits answers to checkpoint questions, or wants an AI tutor to generate lessons, judge mastery, create补充讲解, and maintain学习进度.md.

Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

The repository describes itself as: 学习learning-skill:基于 2 Sigma 与掌握学习法的交互式学习 Skill. The licence is MIT.

When your agent uses it

  • The user says they want to learn a topic step by step
  • Asks for an interactive learning plan
  • Submits answers to checkpoint questions
  • Wants an AI tutor to generate lessons

Example prompts

  • “/learning-skill”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Identify the learning topic and the learner's current level from the user's request.
  2. Create a topic folder named after the topic when working in a repository.
  3. Create or update 进度.md inside the topic folder.
  4. Generate the current lesson as XX_标题.md.
  5. End each lesson with checkpoint questions.
  6. Wait for the learner's answer before advancing.
  7. Judge mastery and choose the next action.

What it can do on your machine

Read from SKILL.md and the folder at commit 506c2c8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Learning Skill loads about 534 tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 216 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~534

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zifengyuan6-star/xuexi-learning-skill at commit 506c2c8, republished under its MIT licence (© zifengyuan6-star). 216 words, ~534 tokens.

Download SKILL.mdSave it as .claude/skills/learning-skill/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
learning-skill
description
基于 Benjamin Bloom 的 2 Sigma 问题与掌握学习法,创建并推进一对一个性化学习路径。Use when the user says they want to learn a topic step by step, asks for an interactive learning plan, submits answers to checkpoint questions, or wants an AI tutor to generate lessons, judge mastery, create补充讲解, and maintain学习进度.md.

Learning Skill

Overview

Use this skill to act as a patient one-on-one learning coach. Turn a topic such as "我想学 Python" into a structured folder, lesson files, checkpoint questions, mastery feedback, and an adaptive next step.

Always communicate with the user in Chinese.

Workflow

  1. Identify the learning topic and the learner's current level from the user's request.
  2. Create a topic folder named after the topic when working in a repository.
  3. Create or update 进度.md inside the topic folder.
  4. Generate the current lesson as XX_标题.md.
  5. End each lesson with checkpoint questions.
  6. Wait for the learner's answer before advancing.
  7. Judge mastery and choose the next action.

Lesson Structure

Use this structure for every lesson file:

markdown
# [主题] - 第 N 课:[标题]

## 学习目标

本节结束后,学习者应该能做到什么。

## 内容讲解

用简单语言解释核心概念。优先使用类比、现实例子和循序渐进的小问题。

## 小结

用 3-5 条关键点收束本节内容。

---

## 检查站:请回答以下问题

1. 概念确认类问题
2. 理解应用类问题
3. 可选的开放思考类问题

请把你的答案直接告诉我,我会根据你的回答决定下一步。

Mastery Decision

After the user answers checkpoint questions, classify their mastery:

掌握程度判断依据下一步行动
完全掌握答案准确,能举一反三生成下一课,推进新内容
基本掌握答案大致正确,有小偏差简短纠正后生成下一课
部分理解概念混淆或有明显误区换角度解释,生成 XXb_补充.md
尚未理解答案错误或不知道拆解卡点,从更基础处重新构建

Never advance just to keep pace. Advance only when the current idea is sufficiently understood.

Progress File

Maintain 进度.md with:

  • 学习主题
  • 当前课程
  • 已完成课程
  • 每课掌握程度
  • 关键误区
  • 待复习概念
  • 下一步计划

Teaching Style

  • Use Feynman-style explanations: simple language, analogies, and concrete examples.
  • Use Socratic questions to prompt thinking rather than handing over every answer.
  • Scaffold from known concepts to unknown concepts.
  • Treat mistakes as useful diagnostic signals.
  • Keep feedback specific, warm, and actionable.

© zifengyuan6-star, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in learning-skill of zifengyuan6-star/xuexi-learning-skill.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 506c2c8

Compare with similar skills

Learning Skill next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Learning Skill compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Learning Skill this skillzifengyuan6-star/xuexi-learning-skill112—~534Automated safety check: PassMIT
Manim Video Productionbrowser-use/video-use29k6 repos~3kAutomated safety check: PassMIT
Logseq Review Workflow Evallogseq/logseq45k—~1kAutomated safety check: PassAGPL-3.0
Baoyu URL To Markdownsdyckjq-lab/llm-wiki-skill2.5k2 repos~3.2kAutomated safety check: PassNone
DeepTutor CLIHKUDS/DeepTutor41k—~2.8kAutomated safety check: PassApache-2.0
Obsidian CLIAtmosphere/atmosphere3.8k13 repos~795Automated safety check: PassApache-2.0

Similar skills

  • Manim Video Production

    browser-use/video-use

    Produces math and technical explainer videos with Manim Community Edition: concept animations, equation derivations, algorithm walkthroughs and data stories.

    29k GitHub starsUsed in 6 repos~3k tokens
    Media & CreativeAuto-check passed
  • Compare two revisions of the Logseq logseq-review-workflow skill by running the same review prompt against isolated before and after skill snapshots, collecting both outputs, and producing a…

    45k GitHub stars~1k tokensUpdated today
    Knowledge ManagementAuto-check passed
  • Baoyu URL To Markdown

    sdyckjq-lab/llm-wiki-skill

    Fetch any URL and convert to markdown using Chrome CDP. An agent skill from sdyckjq-lab/llm-wiki-skill.

    2.5k GitHub starsUsed in 2 repos~3.2k tokens
    Knowledge ManagementAuto-check passed
  • DeepTutor CLI

    HKUDS/DeepTutor

    Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.

    41k GitHub stars~2.8k tokensUpdated 3 days ago
    EducationAuto-check passed
  • Obsidian CLI

    Atmosphere/atmosphere

    Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more.

    3.8k GitHub starsUsed in 13 repos~795 tokens
    Knowledge ManagementAuto-check passed
  • AI Engineering Placement Quiz

    rohitg00/ai-engineering-from-scratch

    Runs a 10-question quiz across five areas to place a learner in the AI Engineering from Scratch curriculum, so they skip what they already know.

    67k GitHub stars~2k tokensUpdated today
    EducationAuto-check passed

More from zifengyuan6-star/xuexi-learning-skill

  • Learning Skill Plus

    zifengyuan6-star/xuexi-learning-skill

    learning-skill 的 Plus 版本,基于掌握学习、间隔重复、主动回忆和苏格拉底提问,增加复习路由、错题遗漏追踪、复习计划和“多久没学”查询。Use when the user says "我想学X", "学习X", "教我X", "我想复习X", "复习X", "今天该复习什么", "看看我的错题", or asks how long it has been since they…

    112 GitHub stars~1.3k tokensUpdated 4 mo ago
    Auto-check passed

Questions about Learning Skill

What does Learning Skill do?

基于 Benjamin Bloom 的 2 Sigma 问题与掌握学习法,创建并推进一对一个性化学习路径。Use when the user says they want to learn a topic step by step, asks for an interactive learning plan, submits answers to checkpoint questions…. Learning Skill is an agent skill from zifengyuan6-star/xuexi-learning-skill.md.

When should I use Learning Skill?

Learning Skill fits situations like: the user says they want to learn a topic step by step; asks for an interactive learning plan; submits answers to checkpoint questions; wants an AI tutor to generate lessons.

How do I install Learning Skill in Claude Code?

Run `npx skills add zifengyuan6-star/xuexi-learning-skill --skill learning-skill -a claude-code`. Or copy the skill folder (learning-skill in zifengyuan6-star/xuexi-learning-skill) into .claude/skills/learning-skill in your project. Claude Code loads it when a task matches its description.

How do I install Learning Skill in Codex?

Run `npx skills add zifengyuan6-star/xuexi-learning-skill --skill learning-skill -a codex`. Or copy the skill folder (learning-skill in zifengyuan6-star/xuexi-learning-skill) into .agents/skills/learning-skill in your project. Codex loads it when a task matches its description.

Can I use Learning Skill in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zifengyuan6-star/xuexi-learning-skill --skill learning-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/learning-skill, .gemini/skills/learning-skill, .github/skills/learning-skill and .opencode/skills/learning-skill in your project.

What does Learning Skill need to run?

SKILL.md names no scripts, command-line tools or credentials: Learning Skill is instructions for the agent only.

Does Learning Skill access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Learning Skill safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Learning Skill use?

Learning Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Learning Skill use?

About 534 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Learning Skill?

Skills that share tags, products or a category with Learning Skill: Manim Video Production (browser-use/video-use, 29k stars), Logseq Review Workflow Eval (logseq/logseq, 45k stars), Baoyu URL To Markdown (sdyckjq-lab/llm-wiki-skill, 2.5k stars) and DeepTutor CLI (HKUDS/DeepTutor, 41k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Learning Skill?

zifengyuan6-star (a GitHub user) maintains it in zifengyuan6-star/xuexi-learning-skill, which has 112 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on May 22, 2026.

Source: zifengyuan6-star/xuexi-learning-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.