last30days
Research any topic across Reddit, X, and web from the last 30 days. Get current trends, real community sentiment, and actionable insights in 7 minutes vs 2 hours manual research.
By brianrwagner · 451 installs
npx skills add brianrwagner/ai-marketing-claude-code-skills --skill last30days
Source repository · Upstream listing
/last30days Research Skill
Real time intelligence engine: Find what's working RIGHT NOW, not last quarter.
Scans Reddit, X, and web for the last 30 days, identifies patterns, extracts community insights, and delivers actionable intelligence with copy paste ready prompts.
Mode
Detect from context or ask: "Quick pulse, full research, or strategic intelligence brief?"
Mode What you get Best for
quick Reddit only, top 10 insights, 10 min Fast topic pulse, content spark
standard Reddit + X + web, full synthesis with themes Content planning, market research
deep Full research + strategic brief + content angles + competitive intelligence Product decisions, campaign strategy
Default: standard — use quick if they want a fast read. Use deep if they're making a business or product decision.
Why This vs ChatGPT?
Problem with "research [topic]": ChatGPT's training data is months/years old. It gives you general knowledge, not current signals.
Problem with Perplexity: Searches web but misses Reddit threads and X conversations where real practitioners share what's actually working.
This skill provides:
1. 30 day freshness filter Only pulls recent content (not 2023 blog posts)
2. Multi platform synthesis Combines Reddit (detailed discussions), X (real time signals), and web (articles) in one pass
3. Pattern detection Highlights themes mentioned 3+ times across sources
4. Sentiment analysis Shows community vibe (hype, skepticism, frustration)
5. Ready to use outputs Copy paste prompts and action ideas, not just summaries
You can replicate this by manually searching Reddit, X, and Brave Search with date filters, reading 30+ sources, identifying patterns, and synthesizing insights. Takes 2+ hours. This skill does it in 7 minutes.
When to Use
Perfect for:
Trend discovery "What's hot in AI agents right now?"
Strategy validation "What content marketing tactics are working in 2026?"
Competitive intel "What are developers saying about Cursor vs Copilot?"
Product research "What do users love/hate about Notion?"
Prompt research "What Claude prompting techniques are trending?"
Community sentiment "How do marketers feel about AI tools?"
Not ideal for:
Historical research (use regular search)
Academic/scientific papers (use Google Scholar)
Non English topics (limited coverage)
Topics with zero online discussion
Required Setup
This skill orchestrates multiple tools. Verify you have:
Quick verification:
Should return:
✅ Brave Search: Available
✅ Bird CLI: Available
✅ Reddit Insights: Available (or "Using web search fallback")
Workflow
Step 1: Web Search (Freshness Filter = Past Month)
Purpose: Get recent articles, blog posts, tools
Step 2: Reddit Search
If reddit insights MCP configured:
Otherwise:
Purpose: Find detailed discussions, practitioner insights, "what's actually working" threads
Step 3: X/Twitter Search
Purpose: Real time signals, expert takes, trending threads
Step 4: Deep Dive on Top Sources (Optional)
For the 2 3 most relevant links:
Purpose: Extract specific tactics, quotes, data points
Step 5: Synthesize & Package
1. Identify patterns What appears 3+ times across sources?
2. Extract key quotes Most upvoted Reddit comments, retweeted takes
3. Assess sentiment Hype, adoption, skepticism, frustration?
4. Create ready to use outputs Prompts, action ideas, copy paste tactics
Output Template
[Ready to use prompt incorporating the patterns discovered]
Context: [Relevant context from research]
Task: [Clear task]
Style: [Tone/voice based on research]
Constraints: [Any patterns to avoid based on research]
Real Examples
Example 1: Prompt Research
Query: /last30days Claude prompting best practices
Abbreviated Output:
Example 2: Competitive Intel
Query: /last30days Notion vs Obsidian 2026
Abbreviated Output:
Example 3: Content Strategy
Query: /last30days LinkedIn content strategies working 2026
Abbreviated Output:
Real Case Study
User: B2B SaaS marketer researching content trends quarterly
Before using skill:
Manual research: 2 3 hours per topic
Visited 20 30 sites, took scattered notes
Hard to identify patterns across sources
No systematic approach
After implementing /last30days:
Research time: 7 10 minutes per topic
Consistent output format (easy to reference later)
Pattern detection automatic
Copy paste prompts immediately usable
Impact after 3 months:
10 trend reports created (vs 2 3 before)
Content strategy pivots based on current signals, not guesses
Team shares research reports across org (became go to intelligence source)
Time saved: ~20 hours/month
Quote: "I used to spend half a day researching trends, now it's 7 minutes. The pattern detection alone is worth it—I'd miss things reading manually."
Configuration Options
Standard Mode (default)
Searches web, Reddit, X
Synthesizes top patterns
Generates prompts + action ideas
Deep Dive Mode
Fetches and analyzes top 5 articles in full
More detailed quotes and data points
Takes 12 15 minutes instead of 7
Reddit Only Mode
Focuses exclusively on Reddit discussions
Best for: Community sentiment, practitioner insights
Quick Brief Mode
Top 3 patterns only
No detailed synthesis
3 minute output
Pro Tips
1. Use specific topics "AI writing tools" better than "AI"
2. Add context "for B2B SaaS" or "for developers" narrows results
3. Run monthly Track trends over time, spot shifts early
4. Combine with /reddit insights For deeper Reddit analysis
5. Export to Notion Keep a trends database
6. Share with team Intelligence is more valuable when distributed
Common Use Cases
Goal Query Example Output Value
Content ideas /last30days AI productivity tools Topics getting engagement now
Competitive research /last30days Superhuman vs Spark email User sentiment, pain points
Positioning /last30days project management frustrations Language customers use
Product validation /last30days AI coding assistant pain points Real problems to solve
Marketing tactics /last30days cold email strategies 2026 What's working in market
Quality Indicators
A good /last30days report has:
[ ] 3 5 clear patterns (not just random insights)
[ ] Quotes from actual users (not just article summaries)
[ ] Sentiment assessment (what's the vibe?)
[ ] Ready to use prompt (copy paste quality)
[ ] Specific action ideas (not vague suggestions)
[ ] Source links for credibility
[ ] Recency verified (nothing from 30 days)
Limitations
This skill does NOT:
Access paywalled content (uses public sources only)
Provide academic quality research (for speed, not depth)
Replace domain expertise (synthesizes existing knowledge)
Guarantee completeness (samples popular discussions)
Best for: Fast, directional intelligence. Not dissertation level research.
Installation
Support
Issues or missing sources? Provide:
Topic searched
Expected vs actual sources found
Any error messages
Your setup verification output
Built to replace 2 hour research sessions with 7 minute intelligence reports.
Know what's working RIGHT NOW. Not last quarter. Not last year. Today.