research-trending
Identify topics gaining search interest NOW for time-sensitive content opportunities. `/research-trending`
Install / Use
npx skills add botfusions/aireklamInstalls into whichever agent you are using.
Claude Commands
Claude Code slash commands
Quality Score
Category
Education & ResearchSupported Platforms
Skill content
View source on GitHubResearch Trending Command
Identify topics gaining search interest NOW for time-sensitive content opportunities.
Usage
/research-trending
What This Command Does
Analyzes search trends to find keywords experiencing rapid growth:
- Compares last 7 days vs previous 30 days
- Identifies topics with significant impression increases
- Calculates urgency based on growth rate
- Prioritizes by opportunity score
- Shows your current position for each trend
⏰ TIME-SENSITIVE: These are hot trends - act quickly before they cool or competition increases.
Process
Execute trending analysis:
python3 research_trending.py
This will:
- Get trending queries from GSC (7d vs 30d comparison)
- Filter to minimum 20 impressions (avoid noise)
- Enrich with search volume from DataForSEO
- Analyze search intent
- Calculate opportunity score based on:
- Growth rate (40%)
- Search volume (30%)
- Current position advantage (30%)
- Determine urgency level
- Generate report:
research/trending-YYYY-MM-DD.md
Output
The report categorizes by urgency:
🔥 CRITICAL Urgency (+150% growth)
Act within 1 week - These topics are exploding NOW
Example:
- "ai content optimization" +429% growth
- Your position: 27
- Volume: 1,800/mo
- Action: Create comprehensive guide within 3-7 days
⚡ HIGH Urgency (+75% growth)
Act within 2 weeks - Strong upward trends
⏳ MODERATE Urgency (+30% growth)
Act within 1 month - Steady growth, monitor
For each trend:
- Growth percentage and trajectory
- Current position (your visibility)
- Search volume (if available)
- Opportunity score
- Specific action steps
- Timeline to act
Key Actions
If You Already Rank (Position ≤30)
Quick Win!
- Update existing content immediately
- Add trending angle/section
- Update title with current year
- Optimize for trending query
- Timeline: 3-5 days
If You Don't Rank (Position >30)
New Content Needed
- Create comprehensive 2000+ word guide
- Publish within 3-7 days
- Promote on social immediately
- Consider paid promotion to accelerate
- Timeline: 1 week max
Example Output
🔥 CRITICAL: "ai content optimization"
Growth: +429% (340 → 1,800 impressions)
Your Position: 27
Urgency: CRITICAL - Act within 1 week
Why It's Hot:
- Massive 4x growth spike
- Related queries also rising
- Topic will continue growing throughout 2025
Action: Create "Best AI Content Optimization Tools 2025"
Timeline: Complete within 7 days
Strategy
Week 1: Critical Trends Only
Focus all resources on 2-3 critical urgency trends
- Update existing content (if position ≤30)
- Create new content (if position >30)
- Publish and promote immediately
Week 2: Monitor & High Urgency
- Check if critical trends maintained momentum
- Begin work on high urgency trends
- Track position changes for published content
Week 3-4: Moderate Trends
- Work on moderate urgency items
- Run
/research-trendingagain to catch new spikes
Integration
After running /research-trending:
- Use
/research-serp [trending keyword]for content requirements - Use
/write [keyword]to create content quickly - Publish ASAP - timing is critical for trends
Time & Cost
Time: 1-2 minutes API Cost: ~$0.20-0.50 (if enriching with search volume) Cost: Free for GSC trend data only
When to Run
WEEKLY - Trends change fast, catch them early
- Monday morning: Identify weekend trends
- Before content planning: Prioritize time-sensitive content
- When traffic spikes: Understand what's driving it
Warning
⚠️ Not all trends sustain - Some are temporary spikes
- Monitor trend continuation over 2-4 weeks
- Validate with search volume data if available
- Focus on trends aligned with your niche
- Seasonal spikes may not be worth pursuing
Related Skills
pyspark-etl-best-practices-cursorrules-prompt-file
40.7kCursor rules for PySpark ETL development with code style, joins, window functions, map operations, and Iceberg patterns.
claude-mem
91.8kPersistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
Understand-Anything
80.4kGraphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
Agent-Reach
75.0kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Security Score
Audited on Invalid Date
