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cornell-notes康奈尔笔记

Agent Skill

cornell-notes 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

3,295

周安装

132

GitHub Stars

公开资料未说明

下载量

1,067
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:cornell-notes(康奈尔笔记)
来源仓库:https://github.com/goog/cornell-notes
安装命令:
openclaw skills install cornell-notes
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 cornell-notes

简介

将康奈尔笔记法转化为结构化的 Markdown 文档。

  • 适合学习记录、会议摘要或知识整理等场景。
  • 通过内置 CLI 脚本快速创建分区笔记与回顾区域。
  • 需指定本地存储路径并确保有文件创建权限。
  • 推荐结合版本控制工具管理笔记变更历史。cornell-notes 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
notes
description
>

Notes Skill

Manage Cornell Method notes stored as Markdown files in ~/cornell-notes/. One .md file per note. Uses the bundled scripts/cornell.py CLI tool.

Script location

scripts/cornell.py

Always run it with:

python scripts/cornell.py <command> [args]

The script path must be relative to the skill root, or use the absolute path once you know it. Copy the script to /tmp/cornell.py for convenience if needed:

cp <skill_root>/scripts/cornell.py /tmp/cornell.py

Commands

CommandWhat it does
new [title]Create a new Cornell note (opens in $EDITOR / micro)
list / lsList all notes with title and date
view [note]Pretty-print a note in two-column Cornell layout
search [query]Search all notes by keyword, highlights matches
edit [note]Open a note in $EDITOR for editing
delete [note] / rmDelete a note (asks for confirmation)

Notes can be referenced by number, title, or slug. If ambiguous, the script shows an interactive picker.

Note structure (auto-generated)

Each note has YAML frontmatter + three Cornell sections:

---
title: <Title>
date: <YYYY-MM-DD HH:MM>
tags: []
---

## Notes
<!-- Raw lecture / reading notes -->

## Cues
<!-- Keywords, questions, main ideas — filled in after studying -->

## Summary
<!-- 2-3 sentence synthesis in your own words -->

Workflow

Creating a note

  1. Ask the user for the note title if not provided.
  2. Run: python /tmp/cornell.py new "<title>"
  3. Tell the user the file was created at ~/cornell-notes/<slug>.md and that it

opened in their editor (micro by default). Remind them to fill in the three sections.

Viewing / listing

  • For a quick overview: python /tmp/cornell.py list
  • To read a specific note: python /tmp/cornell.py view "<title or number>"
  • Render the output in the conversation so the user can read it.

Searching

  • Run: python /tmp/cornell.py search "<keyword>"
  • Present the matching notes and highlighted lines to the user.

Editing

  • Run: python /tmp/cornell.py edit "<title or number>"
  • Confirm which note was opened.

Deleting

  • Run: python /tmp/cornell.py delete "<title or number>"
  • The script will ask for confirmation — relay that to the user if running non-interactively.

Tips

  • Notes are stored in ~/cornell-notes/ — the directory is created automatically.
  • The script uses $EDITOR or $VISUAL env var, falling back to micro.
  • Slugs are auto-generated from titles (lowercased, spaces → hyphens).
  • When the user asks to "take a note now", offer to capture their content directly and

write it into the appropriate Cornell sections yourself, then save the file.

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

93.21%
按下载量换算995

安全审计

VirusTotal

通过

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。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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