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Agent Skill · 研究检索

quick-topic-researcher(快速课题研究员)

quick-topic-researcher 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。

quick-topic-researcher 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,权限为调用外部服务;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 55,945。

总安装 466周安装 20GitHub Stars 3下载 163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:quick-topic-researcher(快速课题研究员)
来源仓库:https://github.com/drshailesh88/integrated_content_os
仓库路径:skills/quick-topic-researcher
安装命令:
npx skills add https://github.com/drshailesh88/integrated_content_os --skill quick-topic-researcher
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 quick-topic-researcher

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。

quick-topic-researcher 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。它可结合来源仓库、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。适用于研究检索类任务,支持多宿主环境集成。可通过 npx skills add 命令从 GitHub 仓库安装。

来源仓库内路径:skills/quick-topic-researcher

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 qui…;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

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

quick-topic-researcher 怎么安装?

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

quick-topic-researcher 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。

quick-topic-researcher 需要什么权限?

权限级别是调用外部服务。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。

quick-topic-researcher 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。

quick-topic-researcher 用的人多吗?

公开数据是累计安装 466 次,近一周安装 20 次,下载 163 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。

quick-topic-researcher 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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
quick-topic-researcher

快速课题研究员 · 本页

4663调用外部服务MIT有提醒

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

Quick Topic Researcher

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).


When to Use

Use CaseThis Skill
Prepping for a YouTube videoYes
Writing a quick tweet threadYes
Refreshing knowledge on a topicYes
Before a podcast discussionYes
Comprehensive literature reviewNo → Use deep-researcher
Writing a formal editorialNo → Use deep-researcher first

How It Works

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

Interactive Mode (Recommended)

Ask Claude:

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

Example:

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

CLI Mode (Coming Soon)

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

Research Sources

Primary (Citable)

SourceToolPurpose
PubMed MCPpubmed_search_articles, pubmed_fetch_contentsAll medical evidence
GuidelinesDirect URL fetch to ACC/ESC/ADARecommendations

Discovery (Not Citable)

SourceToolPurpose
Perplexityperplexity_ask via MCPQuick context, trend discovery
Web SearchWebSearchBackground, non-medical context

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


Output Format

The skill outputs a structured brief:

# 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]

---

## 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 ...]

---

## 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:
1. [Hook 1 based on findings]
2. [Hook 2 based on findings]
3. [Hook 3 based on findings]

---

## Citation-Ready References

1. Author A, et al. TRIAL-NAME. Journal. Year. PMID: XXXXXXXX
2. Author B, et al. Study Name. Journal. Year. PMID: XXXXXXXX
3. [5-7 total references]

---

## Gaps & Caveats

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

Integration with Content Pipeline

Before YouTube Script

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

Before Tweet Thread

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

Before Newsletter

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

Example Session

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...

  1. Does colchicine reduce major cardiovascular events in CAD patients?
  2. What are the key RCTs (COLCOT, LoDoCo2, CLEAR SYNERGY)?
  3. What is the proposed anti-inflammatory mechanism?
  4. What are the safety concerns and contraindications?
  5. 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...


Quick Research Brief: Colchicine in CV Prevention

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

Executive Summary

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)

Research Questions & Findings

Q1: Does colchicine reduce major CV events?

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

Q2: What are the key trials?

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)

Q3: What is the mechanism?

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

Q4: Safety concerns?

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

Q5: Guidelines?

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

Clinical Context

What Guidelines Say

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

Practice Implications

  • 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)

Content Hooks

  1. "The inflammation hypothesis finally has a drug - and it's ancient"
  2. "0.5mg for 50 cents - the cheapest CV prevention we've ignored"
  3. "Why the cardiologist's gout drug became a heart drug"

Citation-Ready References

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

Gaps & Caveats

  • 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.


Comparison with Other Skills

SkillTimeDepthUse Case
quick-topic-researcher5 minSurface + key trialsVideo prep, quick refresh
deep-researcher30-60 minComprehensiveEditorials, literature review
pubmed-database2 minSingle searchSpecific question
perplexity-search1 minTrend onlyDiscovery, non-citable

Technical Implementation

Dependencies

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

Parallel Execution

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

# These run in parallel (single message, multiple tool calls)
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"}])

Output

  • 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.*

平台分布

Claude Code

29.56%
按下载量换算48

OpenCode

22.65%
按下载量换算37

Antigravity

16.62%
按下载量换算27

Gemini CLI

11.37%
按下载量换算19

windsurf

8.04%
按下载量换算13

Codex

3.37%
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

调用外部服务

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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