quick-topic-researcher

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Quick Topic Researcher

快速主题研究员

5 minutes to topic mastery. This skill generates a focused research brief you can use immediately before recording a video or writing content.

Different from
deep-researcher
: That skill is comprehensive (5+ sources, file-based, 30+ minutes). This skill is FAST (5 questions, parallel search, 5 minutes).

5分钟实现主题掌握。 本工具可生成一份聚焦的研究简报，你可在录制视频或撰写内容前立即使用。

与
deep-researcher
的区别：该工具内容全面（5+数据源、基于文件、耗时30+分钟）。本工具则更快速（5个问题、并行搜索、耗时5分钟）。

When to Use

适用场景

Use Case	This Skill
Prepping for a YouTube video	Yes
Writing a quick tweet thread	Yes
Refreshing knowledge on a topic	Yes
Before a podcast discussion	Yes
Comprehensive literature review	No → Use `deep-researcher`
Writing a formal editorial	No → Use `deep-researcher` first

使用场景	本工具
YouTube视频准备	是
快速撰写推文系列	是
快速复习某主题知识	是
播客讨论前准备	是
全面文献综述	否 → 使用 `deep-researcher`
撰写正式社论	否 → 先使用 `deep-researcher`

How It Works

工作原理

TOPIC: "GLP-1 agonists in heart failure"
DOMAIN: "Cardiology"

    │
    ▼
┌─────────────────────────────────────────────────────┐
│ STEP 1: Generate 5 Research Questions               │
│                                                      │
│ 1. Do GLP-1 agonists reduce heart failure           │
│    hospitalization in diabetic patients?            │
│ 2. Is there evidence of direct cardiac benefit?     │
│ 3. What are the key trials showing CV outcomes?     │
│ 4. Are there safety concerns in existing HF?        │
│ 5. What do current guidelines recommend?            │
└─────────────────────────────────────────────────────┘
    │
    ▼
┌─────────────────────────────────────────────────────┐
│ STEP 2: Parallel Research (5 searches at once)      │
│                                                      │
│ [PubMed Q1] [PubMed Q2] [PubMed Q3] [Perplexity Q4] │
│ [Perplexity Q5]                                      │
│                                                      │
│ ~30 seconds total                                    │
└─────────────────────────────────────────────────────┘
    │
    ▼
┌─────────────────────────────────────────────────────┐
│ STEP 3: McKinsey-Style Brief                         │
│                                                      │
│ EXECUTIVE SUMMARY                                    │
│ • Key finding with strongest PMID                   │
│                                                      │
│ ANALYSIS                                             │
│ • Theme 1: Trial evidence (PMIDs)                   │
│ • Theme 2: Mechanisms (PMIDs)                       │
│ • Theme 3: Guidelines                               │
│                                                      │
│ CLINICAL IMPLICATIONS                                │
│ • What this means for your content                  │
│                                                      │
│ KEY PMIDS TO CITE                                    │
│ • List of 5-7 citation-ready references             │
└─────────────────────────────────────────────────────┘

TOPIC: "GLP-1 agonists in heart failure"
DOMAIN: "Cardiology"

    │
    ▼
┌─────────────────────────────────────────────────────┐
│ STEP 1: Generate 5 Research Questions               │
│                                                      │
│ 1. Do GLP-1 agonists reduce heart failure           │
│    hospitalization in diabetic patients?            │
│ 2. Is there evidence of direct cardiac benefit?     │
│ 3. What are the key trials showing CV outcomes?     │
│ 4. Are there safety concerns in existing HF?        │
│ 5. What do current guidelines recommend?            │
└─────────────────────────────────────────────────────┘
    │
    ▼
┌─────────────────────────────────────────────────────┐
│ STEP 2: Parallel Research (5 searches at once)      │
│                                                      │
│ [PubMed Q1] [PubMed Q2] [PubMed Q3] [Perplexity Q4] │
│ [Perplexity Q5]                                      │
│                                                      │
│ ~30 seconds total                                    │
└─────────────────────────────────────────────────────┘
    │
    ▼
┌─────────────────────────────────────────────────────┐
│ STEP 3: McKinsey-Style Brief                         │
│                                                      │
│ EXECUTIVE SUMMARY                                    │
│ • Key finding with strongest PMID                   │
│                                                      │
│ ANALYSIS                                             │
│ • Theme 1: Trial evidence (PMIDs)                   │
│ • Theme 2: Mechanisms (PMIDs)                       │
│ • Theme 3: Guidelines                               │
│                                                      │
│ CLINICAL IMPLICATIONS                                │
│ • What this means for your content                  │
│                                                      │
│ KEY PMIDS TO CITE                                    │
│ • List of 5-7 citation-ready references             │
└─────────────────────────────────────────────────────┘

Usage

使用方法

Interactive Mode (Recommended)

交互模式（推荐）

Ask Claude:

Use quick-topic-researcher for [TOPIC] in [DOMAIN]

Example:

Use quick-topic-researcher for "SGLT2 inhibitors in CKD" in "Cardiology/Nephrology"

向Claude提问：

Use quick-topic-researcher for [TOPIC] in [DOMAIN]

示例：

Use quick-topic-researcher for "SGLT2 inhibitors in CKD" in "Cardiology/Nephrology"

CLI Mode (Coming Soon)

CLI模式（即将推出）

bash

python skills/cardiology/quick-topic-researcher/scripts/quick_research.py \
    --topic "GLP-1 agonists in heart failure" \
    --domain "Cardiology"

bash

python skills/cardiology/quick-topic-researcher/scripts/quick_research.py \
    --topic "GLP-1 agonists in heart failure" \
    --domain "Cardiology"

Research Sources

研究数据源

Primary (Citable)

主要数据源（可引用）

Source	Tool	Purpose
PubMed MCP	`pubmed_search_articles` , `pubmed_fetch_contents`	All medical evidence
Guidelines	Direct URL fetch to ACC/ESC/ADA	Recommendations

数据源	工具	用途
PubMed MCP	`pubmed_search_articles` , `pubmed_fetch_contents`	所有医学证据
指南	直接URL获取ACC/ESC/ADA内容	推荐建议

Discovery (Not Citable)

探索性数据源（不可引用）

Source	Tool	Purpose
Perplexity	`perplexity_ask` via MCP	Quick context, trend discovery
Web Search	`WebSearch`	Background, non-medical context

Rule: You can USE Perplexity to understand context, but you CITE only PubMed.

数据源	工具	用途
Perplexity	通过MCP调用 `perplexity_ask`	快速获取背景信息、发现趋势
网络搜索	`WebSearch`	背景知识、非医学类信息

规则： 你可以使用Perplexity了解背景信息，但仅可引用PubMed的内容。

Output Format

输出格式

The skill outputs a structured brief:

markdown

undefined

本工具输出结构化简报：

markdown

undefined

Quick Research Brief: [TOPIC]

Domain: [DOMAIN] Generated: [DATE] Time to Read: 3 minutes

Executive Summary

[2-3 sentences: What you need to know before recording/writing]

Key takeaway: [ONE sentence with strongest PMID]

[2-3 sentences: What you need to know before recording/writing]

Key takeaway: [ONE sentence with strongest PMID]

Research Questions & Findings

Q1: [Question]

Answer: [Concise answer] Evidence: [Study name, PMID, key stat (HR, CI, p-value)]

Q2: [Question]

Answer: [Concise answer] Evidence: [Study name, PMID, key stat]

[... Q3-Q5 ...]

Answer: [Concise answer] Evidence: [Study name, PMID, key stat]

[... Q3-Q5 ...]

Clinical Context

What Guidelines Say

[ACC/ESC/ADA recommendations with class/level]

Practice Implications

[What this means for real patients]

Content Hooks

For your video/content, consider these angles:

[Hook 1 based on findings]
[Hook 2 based on findings]
[Hook 3 based on findings]

For your video/content, consider these angles:

[Hook 1 based on findings]
[Hook 2 based on findings]
[Hook 3 based on findings]

Citation-Ready References

Author A, et al. TRIAL-NAME. Journal. Year. PMID: XXXXXXXX
Author B, et al. Study Name. Journal. Year. PMID: XXXXXXXX
[5-7 total references]

Author A, et al. TRIAL-NAME. Journal. Year. PMID: XXXXXXXX
Author B, et al. Study Name. Journal. Year. PMID: XXXXXXXX
[5-7 total references]

Gaps & Caveats

[What the evidence doesn't cover]
[Patient populations with limited data]

---

[What the evidence doesn't cover]
[Patient populations with limited data]

---

Integration with Content Pipeline

与内容创作流程的集成

Before YouTube Script

撰写YouTube脚本前

1. Run quick-topic-researcher on your video topic
2. Review the brief (3 min read)
3. Open youtube-script-master with the brief in context
4. Script now has verified facts and PMIDs

1. 针对你的视频主题运行quick-topic-researcher
2. 阅读简报（耗时3分钟）
3. 在上下文加载简报的情况下打开youtube-script-master
4. 脚本现在包含经过验证的事实和PMID编号

Before Tweet Thread

撰写推文系列前

1. Run quick-topic-researcher
2. Pick 1-2 key findings from the brief
3. Use x-post-creator-skill with specific PMIDs

1. 运行quick-topic-researcher
2. 从简报中挑选1-2个关键发现
3. 使用x-post-creator-skill并附上特定PMID编号

Before Newsletter

撰写通讯稿前

1. Run quick-topic-researcher for quick take
2. If topic is complex, follow up with deep-researcher
3. Write with cardiology-newsletter-writer

1. 运行quick-topic-researcher获取快速要点
2. 如果主题复杂，后续使用deep-researcher
3. 使用cardiology-newsletter-writer撰写内容

Example Session

示例会话

User: Use quick-topic-researcher for "colchicine in cardiovascular prevention" in "Cardiology"

Claude:

I'll research this topic rapidly using PubMed and generate a brief.

Step 1: Generating 5 research questions...

Does colchicine reduce major cardiovascular events in CAD patients?
What are the key RCTs (COLCOT, LoDoCo2, CLEAR SYNERGY)?
What is the proposed anti-inflammatory mechanism?
What are the safety concerns and contraindications?
What do current guidelines recommend?

Step 2: Parallel research...

[Executes 5 PubMed searches in parallel] [Fetches key article abstracts] [Searches Perplexity for context]

Step 3: Generating McKinsey-style brief...

用户： Use quick-topic-researcher for "colchicine in cardiovascular prevention" in "Cardiology"

Claude：

我将通过PubMed快速研究该主题并生成简报。

步骤1：生成5个研究问题...

秋水仙碱是否能降低冠心病患者的主要心血管事件？
关键随机对照试验（COLCOT、LoDoCo2、CLEAR SYNERGY）有哪些发现？
其抗炎机制是什么？
存在哪些安全性问题和禁忌症？
当前指南有何推荐？

步骤2：并行研究...

[并行执行5次PubMed搜索] [获取关键文章摘要] [通过Perplexity搜索背景信息]

步骤3：生成麦肯锡风格简报...

Quick Research Brief: Colchicine in CV Prevention

快速研究简报：秋水仙碱在心血管疾病预防中的应用

Domain: Cardiology Generated: 2026-01-01 Time to Read: 3 minutes

领域： 心脏病学 生成时间： 2026-01-01 阅读耗时： 3分钟

Executive Summary

执行摘要

Low-dose colchicine (0.5mg daily) reduces cardiovascular events in patients with established coronary artery disease through anti-inflammatory mechanisms. COLCOT and LoDoCo2 showed consistent benefit; CLEAR SYNERGY was neutral but in a different population.

Key takeaway: In stable CAD patients, colchicine 0.5mg daily reduces CV events by ~25% (HR 0.69-0.77) (PMID: 31733140, 32865377)

低剂量秋水仙碱（每日0.5mg）通过抗炎机制降低确诊冠心病患者的心血管事件。COLCOT和LoDoCo2试验显示出一致的获益；CLEAR SYNERGY试验结果为中性，但针对的是不同人群。

核心结论：在稳定型冠心病患者中，每日0.5mg秋水仙碱可使心血管事件降低约25%（HR 0.69-0.77）（PMID: 31733140, 32865377）

Research Questions & Findings

研究问题与发现

Q1: Does colchicine reduce major CV events?

Q1：秋水仙碱是否能降低主要心血管事件？

Answer: Yes, in stable CAD Evidence: LoDoCo2: HR 0.69 (0.57-0.83), p<0.001 for CV death/MI/stroke (PMID: 32865377)

答案： 是的，在稳定型冠心病患者中有效 证据： LoDoCo2试验：HR 0.69（0.57-0.83），心血管死亡/心梗/卒中复合终点p<0.001（PMID: 32865377）

Q2: What are the key trials?

Q2：关键试验有哪些？

Answer: COLCOT (post-MI), LoDoCo2 (chronic CAD), CLEAR SYNERGY (post-PCI) Evidence:

COLCOT: 0.5mg, HR 0.77 for composite (PMID: 31733140)
LoDoCo2: 0.5mg, HR 0.69 for composite (PMID: 32865377)
CLEAR SYNERGY: Neutral for primary endpoint (PMID: 37634428)

答案： COLCOT（心梗后）、LoDoCo2（慢性冠心病）、CLEAR SYNERGY（PCI术后） 证据：

COLCOT：0.5mg剂量，复合终点HR 0.77（PMID: 31733140）
LoDoCo2：0.5mg剂量，复合终点HR 0.69（PMID: 32865377）
CLEAR SYNERGY：主要终点结果为中性（PMID: 37634428）

Q3: What is the mechanism?

Q3：作用机制是什么？

Answer: NLRP3 inflammasome inhibition, IL-1β reduction Evidence: Reduces hsCRP; targets residual inflammatory risk (PMID: 29724838)

答案： 抑制NLRP3炎症小体，减少IL-1β 证据： 降低hsCRP；针对残余炎症风险（PMID: 29724838）

Q4: Safety concerns?

Q4：安全性问题有哪些？

Answer: GI side effects, myopathy with statins, CKD dose adjustment Evidence: NNH for GI: ~50; avoid with strong CYP3A4 inhibitors (PMID: 31733140)

答案： 胃肠道副作用、与他汀类药物联用导致肌病、慢性肾病患者需调整剂量 证据： 胃肠道不良反应需治疗人数（NNH）约为50；避免与强效CYP3A4抑制剂联用（PMID: 31733140）

Q5: Guidelines?

Q5：指南推荐是什么？

Answer: Class IIb in ESC 2024 for chronic CAD Evidence: ESC 2024 CCS Guidelines, consider in patients with elevated hsCRP

答案： 2024年ESC指南将其列为慢性冠心病的IIb类推荐 证据： 2024年ESC慢性冠脉综合征指南，建议在hsCRP升高的患者中考虑使用

Clinical Context

临床背景

What Guidelines Say

指南内容

ESC 2024: Class IIb, Level A - "Colchicine 0.5mg may be considered to reduce CV risk in chronic coronary syndrome"

2024年ESC指南：IIb类，A级推荐 - "可考虑使用0.5mg秋水仙碱降低慢性冠脉综合征患者的心血管风险"

Practice Implications

临床实践意义

Best candidates: Stable CAD with elevated hsCRP despite optimal therapy
Less certain: Immediately post-MI (COLCOT positive, but smaller effect)
Probably not: Post-PCI without other CAD (CLEAR SYNERGY neutral)

最佳适用人群：接受最佳治疗后hsCRP仍升高的稳定型冠心病患者
不确定性较高：心梗后即刻使用（COLCOT试验阳性，但获益较小）
可能不适用：无其他冠心病的PCI术后患者（CLEAR SYNERGY试验中性）

Content Hooks

内容创作切入点

"The inflammation hypothesis finally has a drug - and it's ancient"
"0.5mg for 50 cents - the cheapest CV prevention we've ignored"
"Why the cardiologist's gout drug became a heart drug"

"炎症假说终于有了对应的药物——而且是一种古老的药物"
"每日0.5mg，花费50美分——我们一直忽略的最便宜的心血管预防药物"
"为什么心脏病医生的痛风药物变成了心脏药物"

Citation-Ready References

可直接引用的参考文献

Tardif JC, et al. COLCOT. NEJM. 2019. PMID: 31733140
Nidorf SM, et al. LoDoCo2. NEJM. 2020. PMID: 32865377
Jolly SS, et al. CLEAR SYNERGY. NEJM. 2024. PMID: 37634428
Ridker PM. Residual inflammatory risk. JACC. 2018. PMID: 29724838
ESC CCS Guidelines 2024

Tardif JC, et al. COLCOT. NEJM. 2019. PMID: 31733140
Nidorf SM, et al. LoDoCo2. NEJM. 2020. PMID: 32865377
Jolly SS, et al. CLEAR SYNERGY. NEJM. 2024. PMID: 37634428
Ridker PM. Residual inflammatory risk. JACC. 2018. PMID: 29724838
ESC CCS Guidelines 2024

Gaps & Caveats

研究空白与注意事项

No RCT in primary prevention (only secondary prevention studied)
Unclear benefit in patients with normal hsCRP
Long-term safety (>3 years) data limited
CLEAR SYNERGY challenges universal applicability

Ready for your video! You now have verified facts, PMIDs, and content hooks.

缺乏一级预防的随机对照试验数据（仅研究了二级预防）
hsCRP正常的患者获益尚不明确
长期安全性（>3年）数据有限
CLEAR SYNERGY试验对其普遍适用性提出了挑战

准备好创作视频了！ 你现在拥有经过验证的事实、PMID编号和内容创作切入点。

Comparison with Other Skills

与其他工具的对比

Skill	Time	Depth	Use Case
quick-topic-researcher	5 min	Surface + key trials	Video prep, quick refresh
`deep-researcher`	30-60 min	Comprehensive	Editorials, literature review
`pubmed-database`	2 min	Single search	Specific question
`perplexity-search`	1 min	Trend only	Discovery, non-citable

工具	耗时	深度	使用场景
quick-topic-researcher	5分钟	表层+关键试验	视频准备、快速复习
`deep-researcher`	30-60分钟	全面深入	社论撰写、文献综述
`pubmed-database`	2分钟	单一搜索	特定问题查询
`perplexity-search`	1分钟	仅趋势	探索发现、不可引用内容

Technical Implementation

技术实现

Dependencies

依赖项

PubMed MCP (existing)
Perplexity MCP (existing)
Claude (default model)

PubMed MCP（已存在）
Perplexity MCP（已存在）
Claude（默认模型）

Parallel Execution

并行执行

The skill uses Claude's ability to make multiple tool calls simultaneously:

python

undefined

本工具利用Claude同时调用多个工具的能力：

python

undefined

These run in parallel (single message, multiple tool calls)

这些操作并行执行（单次请求，多个工具调用）

pubmed_search_articles(queryTerm="colchicine cardiovascular RCT", maxResults=10) pubmed_search_articles(queryTerm="colchicine mechanism inflammation", maxResults=5) perplexity_ask(messages=[{"role": "user", "content": "colchicine cardiology guidelines 2024"}])

undefined

undefined

Output

输出

Markdown brief (displayed in terminal)
Optional: Save to
```
~/research_briefs/{topic}_{date}.md
```

This skill gets you from "I need to know about X" to "I can confidently speak about X" in 5 minutes.

Markdown格式简报（在终端显示）
可选：保存至
```
~/research_briefs/{topic}_{date}.md
```

本工具可让你在5分钟内从“我需要了解X”转变为“我可以自信地谈论X”。