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Agent Skill · 效率

studyclaw(studyclaw 效率)

studyclaw 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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。

studyclaw 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 8,155。

总安装 7,380周安装 317GitHub Stars 公开资料未说明下载 2,587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
1.2.0

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:studyclaw(studyclaw 效率)
来源仓库:https://github.com/keepfit44/studyclaw
安装命令:
openclaw skills install studyclaw
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 studyclaw

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

studyclaw 是一款交互式学习助手,能从文本、PDF、图片等多源材料生成抽认卡和测验。支持间隔重复复习和自定义学习计划,提升记忆效率与知识掌握度。用户上传资料或提出复习需求时自动触发,无需手动配置技术参数。安装前需确认是否允许读取外部文件或访问网络资源,注意隐私与版权合规。

功能集中于学习工具生成,不提供课程讲解或答案解析,侧重自主练习。

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 studyclaw;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

studyclaw 怎么安装?

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

studyclaw 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。

studyclaw 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

studyclaw 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。

studyclaw 用的人多吗?

公开数据是累计安装 7,380 次,近一周安装 317 次,下载 2,587 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。

studyclaw 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
studyclaw

studyclaw 效率 · 本页

7,380—只读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
study-buddy
description
Interactive study assistant that creates flashcards, quizzes, and spaced repetition reviews from any source material (notes, PDFs, photos, text, URLs). Use when the user wants to study, memorize, review, prepare for exams, create flashcards, take a quiz, practice questions, or learn any topic. Triggers on phrases like "study", "quiz me", "flashcards", "review", "exam prep", "test me", "help me memorize", "spaced repetition", "study session".
metadata

Study Buddy

AI-powered study assistant that turns any material into interactive learning sessions with flashcards, quizzes, and spaced repetition — delivered through chat.

Core Workflow

1. Create Flashcards from Material

When the user provides study material (text, image, PDF, URL):

  1. Extract and analyze the content
  2. Identify key concepts, definitions, formulas, dates, and relationships
  3. Generate flashcards as Q&A pairs
  4. Store them using scripts/deck_manager.py
# Create a new deck
python3 scripts/deck_manager.py create "Biology Exam" --cards '[
  {"q": "What is mitosis?", "a": "Cell division producing two identical daughter cells"},
  {"q": "What are the phases of mitosis?", "a": "Prophase, Metaphase, Anaphase, Telophase (PMAT)"}
]'

# Add cards to existing deck
python3 scripts/deck_manager.py add "Biology Exam" --cards '[
  {"q": "What is meiosis?", "a": "Cell division producing four genetically different gametes"}
]'

Card generation guidelines:

  • One concept per card
  • Questions should test understanding, not just recall
  • Include mnemonics when helpful (e.g., PMAT for mitosis phases)
  • For math/science: include both formula cards and application cards
  • For languages: include context sentences, not just word translations
  • Aim for 10-20 cards per topic section

2. Quiz Session

When the user asks to be quizzed:

# Get cards due for review (spaced repetition)
python3 scripts/deck_manager.py review "Biology Exam"

# Get random quiz (all cards)
python3 scripts/deck_manager.py quiz "Biology Exam" --count 10

Quiz delivery format:

Present one question at a time:

Question 3/10 What are the phases of mitosis?

Wait for the user's answer, then reveal:

Answer: Prophase, Metaphase, Anaphase, Telophase (PMAT) How did you do? Got it | Partially | Missed it

Record the result:

python3 scripts/deck_manager.py record "Biology Exam" --card-id 2 --result "correct"

Results affect spaced repetition scheduling:

  • correct: review interval increases (1d, 3d, 7d, 14d, 30d)
  • partial: interval stays the same
  • missed: interval resets to 1 day

3. Spaced Repetition Review

When the user starts a study session or asks "what should I review?":

# Check what's due across all decks
python3 scripts/deck_manager.py due

# Review specific deck
python3 scripts/deck_manager.py review "Biology Exam"

Only show cards that are due based on the SM-2 algorithm intervals. After each session, show a summary:

Session complete! Reviewed: 12 cards Correct: 9 | Partial: 2 | Missed: 1 Next review: 3 cards due tomorrow

4. Generate Practice Exam

When the user asks for an exam or test:

python3 scripts/deck_manager.py exam "Biology Exam" --questions 20 --types "multiple_choice,short_answer,true_false"

Generate a mix of question types from the deck:

  • Multiple choice (4 options, one correct) -- use other cards' answers as distractors
  • True/False -- modify real answers slightly for false statements
  • Short answer -- direct questions from flashcards
  • Fill in the blank -- remove key terms from answers

5. Deck Management

# List all decks
python3 scripts/deck_manager.py list

# Show deck stats
python3 scripts/deck_manager.py stats "Biology Exam"

# Export deck (share with others)
python3 scripts/deck_manager.py export "Biology Exam"

# Import deck
python3 scripts/deck_manager.py import deck_file.json

# Delete deck
python3 scripts/deck_manager.py delete "Biology Exam"

For guidance on handling different input types (text, photos, PDFs, URLs) and tips for creating effective cards, see references/guidelines.md.

Storage

All decks are stored as JSON in ~/.openclaw/study-buddy/decks/. Each deck file contains cards, review history, and scheduling metadata. See references/data_format.md for the schema.

Multilingual Support

Study Buddy works in any language. Detect the user's language from their message and:

  • Generate cards in the same language
  • Quiz prompts in the user's language
  • Support mixed-language decks (useful for language learning)

平台分布

OpenClaw

97.55%
按下载量换算2,524

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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