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cardiology-content-repurposer心脏病学内容再利用

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

总安装

412

周安装

17

GitHub Stars

3

下载量

135
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

3

许可证

MIT

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:cardiology-content-repurposer(心脏病学内容再利用)
来源仓库:https://github.com/drshailesh88/integrated_content_os
仓库路径:skills/cardiology-content-repurposer
安装命令:
npx skills add https://github.com/drshailesh88/integrated_content_os --skill cardiology-content-repurposer
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/drshailesh88/integrated_content_os --skill cardiology-content-repurposer

简介

用于将心脏病学原始资料转化为引人入胜、有循证依据的内容,帮助树立思想领导力并教育患者。

  • 适合处理 YouTube 视频转录稿、医学通讯、书籍或 PDF 中的长文内容,并将其重新利用为可读性强的文档。
  • 通过提取要点、主题和临床见解,保持专业权威性,同时采用易于理解的表达方式。
  • 使用时需保留项目已有事实与路径,避免将未确认信息写成确定结论;涉及对外文案时注意控制语气。
  • cardiology-content-repurposer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Cardiology Content Repurposer

Overview

Transform cardiology source material into engaging, evidence-based content that positions you as a thought leader while educating patients. Maintains clinical authority with conversational approachability.

When to Use This Skill

Use when the user provides:

  • YouTube video transcripts about cardiology topics
  • Medical newsletters or articles
  • Knowledge from books/PDFs
  • Any long-form medical content that needs repurposing for patient education

Core Workflow

Step 1: Analyze Source Material

Silently extract:

  • Key points, themes, statistics, stories
  • Clinical insights and evidence
  • Multiple angles and subtopics
  • Opportunities for different formats and archetypes

Step 2: Review Guidelines

Before writing, review:

  • references/voice-and-principles.md for authentic cardiologist voice, audience archetypes, and awareness levels
  • references/twitter-writing-guide.md for 4A framework, headline structures, and thread formatting
  • references/content-formats.md for specific requirements of each output type

Step 3: Generate Content

Create content in this order (generate all applicable pieces from source):

  1. Short Newspaper Articles (Inshorts style)

- Multiple pieces, <400 chars each - See content-formats.md for specs

  1. Atomic Essays

- Multiple pieces, 600-700 chars - Use 4A framework for different angles - See content-formats.md for specs

  1. Tweets (Single)

- Multiple punchy tweets, 280 chars max - Thought leadership, not random quotes - See content-formats.md for specs

  1. Twitter Threads

- Multiple threads, 4-12 tweets each - Apply skimmability rhythms from twitter-writing-guide.md - See content-formats.md for structure options

  1. Blogs (Medium-style)

- 800-2000 words, in-depth - Critical: If source is transcript/script without references, use PubMed to cite evidence - See content-formats.md for citation requirements

Step 4: Apply Quality Standards

For every piece:

  • Voice: Write as experienced interventional cardiologist with first-person authority
  • No em-dashes: Avoid — unless absolutely necessary
  • Natural language: Vary sentence structure, avoid AI patterns
  • Audience fit: Only create content for archetypes where topic genuinely fits
  • Awareness match: Only write for awareness levels that make sense for the topic
  • No dumbing down: Audience isn't medical but isn't dumb

Step 5: PubMed Integration (for Blogs)

When source material is transcript/script without solid references:

  1. Identify factual claims needing backing
  2. Use PubMed:search_articles to find supporting evidence
  3. Use PubMed:get_article_metadata for details
  4. Cite naturally: [Study Name, Journal Year]
  5. Focus on RCTs, meta-analyses, major trials

Step 6: Present Output

List all generated content numbered by type:

SHORT NEWSPAPER ARTICLES
1. [Title]
   [Body]

2. [Title]
   [Body]

ATOMIC ESSAYS
1. [Title]
   [Essay]

2. [Title]
   [Essay]

TWEETS
1. [Tweet]
2. [Tweet]

TWITTER THREADS
Thread 1: [Theme]
• Tweet 1: [Hook]
• Tweet 2: [Content]
• Tweet 3: [Content]
• Tweet 4: [CTA]

BLOGS
Blog 1: [Title]
[Full blog with sections and citations]

Content Multiplication Strategy

Use modifiers to create variations:

  • Tips, Stats, Steps, Lessons, Examples, Reasons, Mistakes, Questions, Stories, Benefits

Use 4A framework for angles:

  • Actionable: "Here's how" (step-by-step)
  • Analytical: "Show me numbers" (data-driven)
  • Aspirational: "Make me believe" (stories)
  • Anthropological: "Explain why" (psychology)

Critical Reminders

  • Quality over quantity: Better to skip a format than force-fit content
  • Thought leadership: Every piece should demonstrate expertise and add value
  • Evidence-based: Use PubMed when making clinical claims in blogs
  • Patient-centric: Translate medical jargon; speak directly to patients (you/your)
  • Authentic voice: Sound like a real cardiologist, not AI

If No Source Provided

Politely ask: "Please provide the source material you'd like me to repurpose (transcript, newsletter, PDF, etc.)"

Iteration

If user requests changes, revise specifically and re-present. Only proceed on explicit 'proceed' or equivalent.

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

04

需要参考平台分布和安装热度时

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

Claude Code

27.46%
按下载量换算37

OpenCode

24.03%
按下载量换算32

Antigravity

19.54%
按下载量换算26

Gemini CLI

12.6%
按下载量换算17

windsurf

8.46%
按下载量换算11

Codex

3.74%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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 warning/failed 结果,不能写成本站确认安全。

来源信息

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