quick-topic-researcher
Rapid topic mastery for video/content prep. Takes a topic → generates 5 research questions → parallel PubMed + web search → outputs McKinsey-style brief in 5 minutes. Use BEFORE recording videos or writing content.
When & Why to Use This Skill
The Quick Topic Researcher is a high-speed AI agent designed for rapid topic mastery and professional content preparation. It streamlines the research workflow by generating targeted research questions, performing parallel searches across PubMed and the web, and delivering a structured, McKinsey-style brief in under five minutes. This skill is optimized for creators and professionals who need verified facts, citable references, and strategic content hooks to ensure authority and accuracy in their output.
Use Cases
- Video and Podcast Prep: Rapidly gather verified medical or technical facts and citable references before recording to ensure high-quality, authoritative content.
- Social Media Strategy: Create evidence-based Twitter threads or LinkedIn posts by extracting key findings and 'content hooks' from complex research topics.
- Professional Knowledge Refresh: Quickly get up to speed on specific domains (e.g., new clinical trials or industry trends) before meetings, presentations, or discussions.
- Newsletter and Blog Drafting: Generate structured research briefs that provide a solid factual foundation for long-form writing, reducing the time spent on manual data gathering.
| name | quick-topic-researcher |
|---|---|
| description | "Rapid topic mastery for video/content prep. Takes a topic → generates 5 research questions → parallel PubMed + web search → outputs McKinsey-style brief in 5 minutes. Use BEFORE recording videos or writing content." |
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 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 |
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)
| Source | Tool | Purpose |
|---|---|---|
| PubMed MCP | pubmed_search_articles, pubmed_fetch_contents |
All medical evidence |
| Guidelines | Direct URL fetch to ACC/ESC/ADA | Recommendations |
Discovery (Not Citable)
| 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.
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...
- 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...
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
- "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"
Citation-Ready References
- 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
- 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
| 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 |
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.