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Agent Skill · 研究检索

course-study(课程学习)

course-study 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

course-study 是研究检索类 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,按安装量在研究检索类的 73,675 个 Skill 里排第 7,682。

总安装 18,322周安装 779GitHub Stars 2下载 6,419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
2.0.0

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:course-study(课程学习)
来源仓库:https://github.com/vincentjiang06/course-study
安装命令:
openclaw skills install course-study
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 course-study

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。

course-study提供全面的课程学习和考试复习支持功能。可从讲座幻灯片、PDF或大纲生成结构化学习笔记。适合学生和教育工作者进行系统化知识整理。使用时需确保学习材料的完整性和准确性。course-study 属于研究检索类 Skill,可作为该场景下的辅助能力补充。建议结合个人学习习惯调整笔记组织方式。

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 course-study;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

course-study 怎么安装?

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

course-study 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。

course-study 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。

course-study 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。

course-study 用的人多吗?

公开数据是累计安装 18,322 次,近一周安装 779 次,下载 6,419 次,GitHub 2 星。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。

course-study 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。
  • 需要处理研究检索类任务、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。

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
course-study

课程学习 · 本页

18,3222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
course-study
description
Comprehensive course study, exam revision, and structured study note generation from lecture slides, course PDFs, or topic outlines. Use when the user wants to study a course, review or summarize lecture slides/PDFs, generate lecture notes or a study guide, prepare for exams (midterm, final, quiz), create revision notes or formula sheets, extract key concepts/definitions/formulas from course materials, synthesize knowledge across multiple lectures, expand understanding beyond course scope with external sources, or asks for help learning, reviewing, or revising any university or college course content in any academic subject (CS, engineering, math, science, humanities, etc.). Produces deep, multi-format study notes (Markdown + PDF) with worked examples, LaTeX formulas, cross-lecture connections, concept dependency maps, quick-reference sheets, and exam Q&A appendix — not shallow summaries.
license
MIT
model
claude-sonnet-4-6
user-invocable
true
metadata
version
2.0.0
author
claude-code
domains

Course Study v2.0

A structured four-phase workflow for deep learning of any university or college course: Extract → Synthesize → Expand → Study. Produces high-fidelity, multi-format study materials as a single, complete PDF — not shallow summaries.


Phase 0: Intake

Read rules/phase-intake.md and run the full intake workflow. Keep this to one exchange — do not ask questions across multiple messages.


Workflow

Phase 0: Intake (single exchange)
  ├── PDFs → Phase 1 (Extract via /pdf skill)
  ├── Topic list → Phase 2 directly
  └── Course name → quick syllabus search → Phase 2

Phase 1: Extract (per PDF, page-aligned, using /pdf skill)
  └── Output: lecture-XX-extract.md

Phase 2: Synthesize
  └── Output: course-synthesis.md

Phase 3: Expand (web sources OR curriculum-grounded)
  └── Output: course-expansion.md

Phase 4: Study Materials
  ├── study-notes.md (always)
  ├── quick-reference.md (Exam Ready only)
  └── exam-qa.md (Exam Ready only)

Each phase ends with a brief checkpoint (see below).


Phase Checkpoint

After each phase, one compact message:

✓ Phase [X] done — [summary in one line].
Issues? (coverage gaps / too shallow / too verbose)
Type to adjust, or just say "continue".

If no response issues → proceed immediately. No multi-question forms.


Global Rules

  1. PDF-only input. Use the /pdf skill to read all course files. Do not use Python file I/O or direct file reading for PDFs.
  1. Backbone fidelity. Every concept traces back to its source: page number (PDF) or section number (topic list). Never lose traceability.
  1. Speed discipline. Minimize round-trips. Batch questions. Skip steps that aren't needed for the current tier. Phase 1 and 2 intermediate files should be dense and compact — no padding, no repeated meta-commentary.
  1. No fabrication. Phase 3 without web access: every claim marked [Standard curriculum knowledge]. No invented URLs, paper titles, or authors.
  1. Examples are mandatory. Phase 4 must include worked examples for every non-trivial concept.
  1. Track progress. Use TodoList to track which lectures have been processed.
  1. Multi-format output. Final notes are written in format-agnostic Markdown per rules/templates.md. When the user requests PDF output, read rules/pdf-export.md for pandoc font configuration and CJK handling before converting.
  1. Prioritise flagged topics. If the user named priority topics in Phase 0, give them deeper treatment in Phase 4 and ensure they appear in the Quick Reference and Exam Q&A.

Phase 4 Output: Study Notes

The main study notes follow the structure in rules/phase-study.md. Every concept gets:

  • What it is — definition, instructor's phrasing first
  • Intuition — why it exists, what problem it solves
  • Formal treatment — LaTeX formulas or code blocks
  • Worked example — concrete, step-by-step
  • Connections — prerequisites and what this enables
  • Common misconceptions

Exam Ready appendices (Quick Reference Sheet and Exam Q&A) are generated in Phase 4 as well — see rules/phase-study.md Steps 6a and 6b.


Reference Files

  • rules/phase-intake.md — Phase 0 intake workflow
  • rules/phase-extract.md — Phase 1
  • rules/phase-synthesize.md — Phase 2
  • rules/phase-expand.md — Phase 3
  • rules/phase-study.md — Phase 4 (study notes + Exam Ready appendices)
  • rules/templates.md — Format-agnostic writing rules
  • rules/pdf-export.md — PDF conversion config (load only when PDF output is requested)
  • rules/subject-coverage.md — Live search strategy for curriculum gap analysis
  • rules/changelog.md — Version history

Anti-Patterns

AvoidWhyInstead
Skipping worked examplesStudents fail on application, not definitionsMandatory for every non-trivial concept
Quick Reference with proseDefeats the purposeOne line per entry maximum
Exam Q&A without source refsStudent can't verify or dig deeperEvery answer cites source location
Ignoring Phase 0 priority topicsUser told you what mattersDeeper treatment + appears in all appendices
Fabricating exam question stylesMisleads preparationDraw only from what the course actually covers

平台分布

OpenClaw

71.54%
按下载量换算4,592

安全审计

VirusTotal

可疑

ClawScan

通过

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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