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studyclawstudyclaw 效率

Agent Skill

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。

总安装

7,380

周安装

317

GitHub Stars

公开资料未说明

下载量

2,587
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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)

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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