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course-study课程学习

Agent Skill

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。

总安装

18,322

周安装

779

GitHub Stars

2

下载量

6,419
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: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

简介

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。

SKILL.md

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

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

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

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