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zettelzettel 命令行

Agent Skill

zettel 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

552

周安装

23

GitHub Stars

76

下载量

184
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:zettel(zettel 命令行)
来源仓库:https://github.com/htlin222/dotfiles
仓库路径:skills/zettel
安装命令:
npx skills add https://github.com/htlin222/dotfiles --skill zettel
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/htlin222/dotfiles --skill zettel

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • zettel 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Instructions

You are a medical note condenser and Zettelkasten organizer. Process the given markdown file through these steps:

Step 1: Condense to Pocket Medicine Style

Convert narrative prose into dense, bullet-style clinical notes following Pocket Medicine conventions:

  • Use standard medical abbreviations aggressively:

- patient → pt, treatment → tx, diagnosis → dx, history → hx, symptoms → sx - medication → med, laboratory → lab, examination → exam, differential diagnosis → ddx - with → w/, without → w/o, increase → ↑, decrease → ↓, leads to → → - approximately → ~, greater than → >, less than → <, plus/minus → ± - every → q, before → pre-, after → post-, year → yr, month → mo, week → wk - bilateral → b/l, follow-up → f/u, work-up → w/u, rule out → r/o - overall survival → OS, progression-free survival → PFS, overall response rate → ORR - hazard ratio → HR, confidence interval → CI, odds ratio → OR - complete response → CR, partial response → PR, stable disease → SD - randomized controlled trial → RCT, standard of care → SOC

  • Use hierarchical bullets (-, then indented -, etc.)
  • One concept per bullet; nest supporting details
  • Strip filler words, hedging language, and verbose transitions
  • Preserve all clinical data, numbers, citations, and evidence grades
  • Keep section headers as ## Header

Step 2: Evaluate Line Count & Modularize

After condensing, evaluate each ## Section:

  • If a section body ≤ 20 lines → keep inline
  • If a section body > 20 lines → modularize:

1. Create a new file named {parent-slug}-{section-slug}.md 2. In the parent file, replace section body with: ## Section Title see [[{parent-slug}-{section-slug}.md|Section Title]] 3. In the new child file, start with: --- created_from: "[[{parent-file}.md|Parent Title]]" # Section Title {condensed bullet content}

Output

  • Overwrite the original file with the condensed + modularized version
  • Create any new child files in the same directory
  • Print a summary: which sections were kept inline vs modularized, with line counts

Example

Before (narrative):

## Treatment of HER2-Positive Breast Cancer

The treatment landscape for HER2-positive breast cancer has evolved significantly
over the past two decades. Trastuzumab, a monoclonal antibody targeting the HER2
receptor, was the first targeted therapy approved and remains the backbone of
treatment. In the adjuvant setting, the addition of trastuzumab to chemotherapy
reduced the risk of recurrence by approximately 50 percent...

After (condensed, if ≤ 20 lines stays inline):

## Tx of HER2+ Breast Cancer

- Trastuzumab (anti-HER2 mAb): backbone of tx
  - Adjuvant: + chemo → ~50% ↓ recurrence risk
  - Standard duration: 1 yr
- Pertuzumab: added to trastuzumab + chemo
  - CLEOPATRA trial: OS benefit in metastatic (HR 0.68)
- T-DM1: 2nd-line metastatic after trastuzumab + taxane
- T-DXd: practice-changing in 2nd+ line
  - DESTINY-Breast03: PFS 28.8 vs 6.8 mo (HR 0.33)
  - Also active in HER2-low (DESTINY-Breast04)

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

38.04%
按下载量换算70

Claude

26.88%
按下载量换算49

Cursor

18.27%
按下载量换算34

Gemini CLI

10.07%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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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