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create-topic-notecreate topic note 搜索

Agent Skill

create-topic-note 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

318

周安装

13

GitHub Stars

2

下载量

102
CodexClaudeCursorGemini CLI

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

unknown

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:create-topic-note(create topic note 搜索)
来源仓库:https://github.com/nweii/agent-stuff
仓库路径:skills/create-topic-note
安装命令:
npx skills add https://github.com/nweii/agent-stuff --skill create-topic-note
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/nweii/agent-stuff --skill create-topic-note

简介

用于围绕共同主题聚合知识笔记,形成轻量级主题枢纽文档。

  • 自动识别多篇笔记中的概念交集,提炼统一术语与关联结构。
  • 使用时需提供主题标题与关联笔记路径,支持 Wikilink 与文件引用。
  • 建议定期更新主题笔记以保持知识库时效性与准确性。
  • create-topic-note 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Create topic note

Create a new topic note that groups related notes under a common theme. Synthesizes provided notes into a lightweight hub.

Arguments

$ARGUMENTS should contain:

  • Topic title (required) — name for the new topic note
  • Notes to group — wikilinks or file paths to notes that share a theme

If no notes are provided, prompt for them. If no title is given but notes are provided, suggest a title based on the notes' common theme.

Process

1. Read the provided notes

Read each note's frontmatter (especially description) and skim content to understand:

  • Common themes and concepts
  • Shared vocabulary or framing
  • The throughline that connects them

2. Expand context (optional)

Use available tools to discover additional relevant notes not explicitly provided:

  • Semantic search — When qmd is available (MCP query tool or qmd query CLI), use it for *semantic* search — vec or expand queries that find notes by meaning rather than keywords. The qmd skill documents query types. For keyword search, use obsidian search or the methods below; qmd's lex/BM25 adds nothing beyond what obsidian already provides.
  • Follow wikilinks in the provided notes to find related children or siblings
  • Check related properties for existing connections worth including
  • Search for shared tags or vocabulary

If you find notes that clearly belong under this topic, propose adding them to the group. Ask the user before including notes they didn't explicitly provide.

3. Create the topic note

Create a new file in 03-Records/Topics/ with this structure:

---
aliases:
  - {alternative names if useful}
categories: ["[[Commentary]]"]
icon:
description: "{1-2 sentence summary synthesized from the grouped notes}"
related: []
tags: [{relevant topical tags, drawn from the grouped notes}]
---

{Optional 1-2 sentences of context if needed, otherwise leave blank}

![[Related.base]]

Description guidelines

  • Synthesize a shorthand summary that captures what connects the grouped notes
  • Use terse telegraphic style: semicolons, commas, dashes over conjunctive adverbs
  • Stay under 200 characters when possible
  • Focus on the conceptual throughline, not an exhaustive list

Tag selection

  • Pull relevant tags from the grouped notes
  • Add topics tag if not present
  • Keep to 5-10 tags max

4. Update source notes

For each note provided, add the new topic note to its related property:

related:
  - "[[New Topic Note Title]]"
  - ... existing related items

If related doesn't exist, create it. Place new items at the beginning of the list.

Output

  1. The new topic note file
  2. Confirmation of which notes were updated with the related backlink

Example

Input: "Group these under a topic about attention economy critique: [[Platforms engineer compulsive consumption]], [[Optimizing for attention undermines quality experience]], [[Social media commoditizes intrinsic needs]]"

Creates: 03-Records/Topics/Attention economy critique.md with description synthesized from those notes

Updates: Each input note gets "[[Attention economy critique]]" added to its related property

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

36.69%
按下载量换算37

Claude

32.23%
按下载量换算33

Cursor

19.32%
按下载量换算20

Gemini CLI

9.67%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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