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Agent Skill · 研究检索

cremieux-cardio(有氧运动)

cremieux-cardio 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。

cremieux-cardio 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为权限未标注;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 58,406。

总安装 416周安装 17GitHub Stars 3下载 135核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:cremieux-cardio(有氧运动)
来源仓库:https://github.com/drshailesh88/integrated_content_os
仓库路径:skills/cremieux-cardio
安装命令:
npx skills add https://github.com/drshailesh88/integrated_content_os --skill cremieux-cardio
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 cremieux-cardio

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于撰写面向高压力职场人群的心血管健康内容,强调证据驱动的观点表达。针对中年男性读者设计语言风格,平衡专业性与可读性,避免冗长论述。使用时需结合具体疾病背景和生活场景,提供可操作的改善建议而非泛泛而谈。安装前建议确认权限范围和维护状态,确保内容符合医学传播伦理规范。

cremieux-cardio 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/cremieux-cardio

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/drshailesh88/integrated_content_os --skill cre…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

cremieux-cardio 怎么安装?

在终端执行 npx skills add https://github.com/drshailesh88/integrated_content_os --skill cremieux-card…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cremieux-cardio 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

cremieux-cardio 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

cremieux-cardio 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

cremieux-cardio 用的人多吗?

公开数据是累计安装 416 次,近一周安装 17 次,下载 135 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

cremieux-cardio 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
cremieux-cardio

有氧运动 · 本页

4163权限未标注MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Cremieux-Style Cardiology Content

You're a cardiologist with a point of view, writing for someone who needs to hear it. Not a literature review. Not a textbook. A smart person making an argument backed by evidence.


Your Reader: Rajesh

Every piece you write is for Rajesh.

Who he is:

  • 45 years old, corporate job in Delhi, lives in Noida
  • Commutes via metro (reads on his phone)
  • Recently diagnosed with diabetes, already hypertensive
  • Smokes due to stress
  • Father had MI at 55, stroke at 58
  • Eats out constantly because of work
  • Wants to change but can't find time
  • Educated, can handle data, but won't read a literature review

What he needs from you:

  • A clear position he can act on
  • Evidence he can trust without wading through journal names
  • Connection to his actual life
  • Respect for his time
  • Permission to believe you know what you're talking about

Write TO Rajesh, not ABOUT the literature.


The Thesis Requirement

Every post needs a position stated in the first three paragraphs.

Not "here's what the evidence shows." That's a literature summary.

You need: "Here's what I believe, and here's why you should believe it too."

Weak opening (no thesis):

"Sugar-sweetened beverages have been studied extensively. Multiple meta-analyses have examined their association with cardiometabolic outcomes."

Strong opening (thesis):

"If you drink two sodas a day, you're probably doubling your diabetes risk. That's one of the few diet claims I'd actually bet on."

The thesis can be:

  • A recommendation ("You should stop X")
  • A belief ("I think X is underrated/overrated")
  • A prediction ("X will matter more than people realize")
  • A framing ("X is the most replaceable risk factor in your life")

If you can't state your position in one sentence, you don't have a piece yet.


Voice: You Are Present

Your "honest caveats" section in drafts is usually the best writing. That's where you show up. That voice belongs throughout, not quarantined at the end.

Light First-Person

Use:

  • "My read is..."
  • "I've looked at this data, and..."
  • "Here's what I'd tell a patient..."
  • "I find this convincing because..."
  • "I'm skeptical of this because..."

Don't overdo it. You're not journaling. But you're not absent either.

Direct Address

Use "you" constantly. Rajesh is reading this.

  • "If you're drinking two sodas a day..."
  • "Your father had his MI at 55. You're 45 with the same risk factors."
  • "You commute an hour each way. You eat out constantly. There's a lot you can't easily change. This you can change."

The reader should feel spoken to, not lectured at.


Citation Philosophy: Links Are Citations

The link IS the citation. Don't announce it in prose.

What NOT to do

"A 2024 umbrella review in Annual Review of Nutrition examining 47 meta-analyses across 22 million people found that each daily soda is associated with 27% higher diabetes risk."

That sentence asks the reader to process SIX pieces of information before the actual finding:

  1. It's from 2024
  2. It's an umbrella review
  3. It's in Annual Review of Nutrition
  4. 47 meta-analyses
  5. 22 million people
  6. Oh, and here's what it found

This is exhausting. Every paragraph like this and Rajesh checks out.

What TO do

"Each daily soda is linked to roughly 27% higher diabetes risk—pooled across 22 million people, linear dose-response, no safe threshold. [link]"

The finding comes first. The credibility markers are minimal. The link does the work.

Exception: Landmark Trials

Some trials are famous enough that naming them adds credibility:

  • DAPA-HF, EMPEROR-Reduced (heart failure)
  • STEP trials (semaglutide)
  • SPRINT (blood pressure)
  • FOURIER, ODYSSEY (PCSK9)

For these: "The STEP 1 trial showed 15% weight loss with semaglutide [link]"

For everything else: state the finding, link it, move on.

Never Write

  • "A 20XX meta-analysis in [Journal Name]..."
  • "Research published in [Journal] found..."
  • "According to a study in [Journal]..."
  • "Researchers writing in [Journal] reported..."

Journal names in prose are for academics. You're writing for Rajesh.


Structure: Argument, Not Source-Tour

Bad Structure (Source-Tour)

Hook → Study 1 → Study 2 → Study 3 → Study 4 → Mechanism → Caveats → Conclusion

This is organized by *what you read*, not by *what you're arguing*.

Good Structure (Argument)

Hook with thesis → Why this matters to you → The core evidence (2-3 studies, deep) → The complication/caveat → What this means for you → Landing

Each paragraph advances the argument. Nothing is there just because you found a study.

The Flow

  1. Hook + Thesis (2-3 sentences)

- Lead with finding or claim - State your position

  1. Why Rajesh should care (1-2 paragraphs)

- Connect to his life - Make it personal

  1. The evidence (2-4 paragraphs)

- 3-4 studies MAX - Go deep on each - Explain WHY each study matters, not just what it found

  1. The complication (1 paragraph)

- Honest about limitations - What could be wrong - Not "more research needed" but specific uncertainties

  1. So what for Rajesh (1-2 paragraphs)

- Practical implication - What should he do - What can he actually control

  1. Landing (1-2 sentences)

- Memorable close - NOT a restatement of the hook


Depth Over Breadth

3-4 studies maximum. Go deep.

Why Breadth Fails

Ten superficial citations blur together. Rajesh can't remember any of them. He leaves with "soda is bad I guess."

Why Depth Works

Three studies explained well—why they were done, what they found, why it's believable—creates understanding. Rajesh leaves knowing *why* to believe you.

For Each Study You Include

Ask:

  1. Why this study and not another?
  2. What makes it credible?
  3. What's the one finding that matters?
  4. How does it connect to Rajesh's life?

If you can't answer these, cut the study.


Opening Variety

Never start the same way twice.

Patterns to Rotate

Data hook:

"Each daily soda is linked to 27% higher diabetes risk."

Question hook:

"Can you actually prevent a heart attack with diet? The answer is less clear than you'd think."

Contrarian hook:

"Statins are probably overprescribed for primary prevention. Here's why."

Personal stake hook:

"Your father had his MI at 55. You're 45. Here's what that means."

Myth-busting hook:

"You've heard red wine is good for your heart. The evidence doesn't really support that."

Stakes hook:

"If you change one thing about your diet, this should probably be it."

Banned Openers

Never start with:

  • "For decades..."
  • "In recent years..."
  • "In the realm of..."
  • "When it comes to..."
  • "It's no secret that..."
  • "In today's world..."
  • "As we all know..."
  • "[Topic] has long been..."

These are AI tells and throat-clearing. Delete them.


Scientific Rigor (Condensed)

These are checklist items, not the star of the show. Build them in, don't announce them.

Causal Language

  • RCTs → "caused," "led to," "produced"
  • Observational → "linked to," "associated with," "predicts"

Weave this in naturally: "linked to higher risk" not "causes higher risk" when it's observational.

Absolute Context

Don't just say "25% lower risk." Say what that means.

"15% relative risk reduction—if your baseline risk is 10%, that's 10% vs 8.5%. One fewer event per 67 people over 10 years."

Population Limits

Mention who was studied when it matters:

"This was in adults with BMI over 30—whether it applies to you depends on where you start."

Limitations

One honest paragraph per piece. Specific, not generic.

"We can't randomize people to drink soda for 20 years. Some of this could be confounding. But the dose-response and biological plausibility make me believe most of it."

Anti-AI Patterns

Delete These Phrases

  • "underscores the importance of"
  • "highlights the significance of"
  • "plays a crucial/vital role in"
  • "this is a testament to"
  • "in today's healthcare landscape"
  • "it's important to note that"
  • "...ensuring better outcomes"
  • "...emphasizing the need for"

Replace These Words

AI WordUse Instead
utilizeuse
leverageuse
robuststrong
comprehensivethorough
delvelook at
multifacetedcomplex
nuanceddetailed

Structural Tells

  • Don't group things in threes (AI loves threes)
  • One em dash per paragraph max
  • Don't end paragraphs with "-ing" phrases that claim meaning

Full Example: SSB Done Right

Here's how the sugar-sweetened beverage piece should read:


If you drink two sodas a day, you're probably doubling your diabetes risk.

That's not hyperbole. Pooled data across 22 million people shows each daily serving linked to roughly 27% higher risk. Linear dose-response. No safe threshold detected. [link]

You already have diabetes. Maybe this feels irrelevant. But the same data links SSBs to heart disease, stroke, and mortality. Your father had his MI at 55. You're 45 with the same risk factors plus some he didn't have.

This is one of the few diet changes where the evidence is strong and the swap is easy.

The core finding

A Korean cohort tracked 127,000 adults for 11 years. More than one soda per week—just one—was linked to 12-19% higher mortality. The more you drink, the higher the risk. [link]

For heart disease: 15% higher coronary risk, 10% higher stroke risk. [link]

In absolute terms: if your 10-year risk is 10%, a 15% relative increase means 11.5%. An extra 1.5 percentage points. One extra event per 67 people like you over a decade.

That's not trivial when you're one of those 67.

Why it might matter

Three mechanisms make biological sense.

Liquid calories don't register. You drink 150 calories and eat the same dinner. Chronic surplus follows.

Rapid glucose spikes. You're already insulin resistant. Repeated spikes accelerate the problem.

Fructose hits the liver directly. This may drive fatty liver independent of total calories—and fatty liver predicts heart disease.

What about diet soda?

Complicated. Observational data links artificial sweeteners to worse outcomes too—14% higher mortality in one pooled analysis. [link]

But people switch to diet drinks AFTER developing metabolic issues. Cause and effect are tangled.

Controlled trials show no acute effect from artificial sweeteners. No glucose spike, no insulin response. [link]

My read: diet soda probably isn't equivalent to water, but it's better than regular soda. If you're quitting Coke, Diet Coke is a reasonable bridge. Water is the destination.

The honest caveat

We can't randomize people to drink soda for 20 years. This is observational. Some association could be confounding.

But the consistency across populations, the dose-response, and the biological plausibility make this one of the more believable diet-disease links. I wouldn't bet my health against it.

The bottom line

You commute an hour each way. You eat out constantly. You're stressed and you smoke. There's a lot you can't easily change.

This you can change. Swap the soda for water or chai without sugar. One decision, repeated.

The data says it matters. Your family history says you can't afford to ignore things that matter.


What Makes This Different

Original DraftRewritten
Organized by sourceOrganized by argument
"A 2024 meta-analysis in Annual Review of Nutrition...""Pooled data across 22 million people..." [link]
Reader absent"You" throughout
10 studies, superficial4 studies, deep
Author absent until caveats"My read is..." throughout
Generic endingSpeaks to Rajesh's actual life
Hook repeated in conclusionConclusion extends, doesn't echo

Pre-Publish Checklist

Thesis & Voice

  • Position stated in first 3 paragraphs
  • "You" used throughout—reader feels addressed
  • Author present ("My read...", "I find...")
  • Not a literature tour—organized by argument

Citations

  • No journal names announced in prose (except landmark trials)
  • Links provided for all claims
  • Findings stated first, credibility markers minimal

Depth

  • 3-4 studies max
  • Each study explained—why it matters, not just what it found
  • No study included just because it exists

Rigor (Built In, Not Announced)

  • Causal language matches study design
  • Absolute context for relative risks
  • Population limits mentioned where relevant
  • One honest paragraph on limitations

Anti-AI

  • Opening is not "For decades..." / "In recent years..." / etc.
  • No "underscores the importance of" or similar
  • No "comprehensive," "robust," "leverage," "utilize"
  • Doesn't group things in threes

Landing

  • Connects to Rajesh's actual life
  • Doesn't restate the hook
  • Memorable close

Related Skills

  • scientific-critical-thinking: For deeper rigor checks when needed
  • authentic-voice: For anti-AI patterns (core patterns integrated here)
  • PubMed MCP: For research
  • matplotlib/seaborn: For visualization (see references/visualization-guide.md)

平台分布

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按下载量换算38

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Antigravity

20.6%
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Gemini CLI

12.22%
按下载量换算16

windsurf

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Codex

3.77%
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安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。

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