persona: name: "Domain Expert" title: "Master of Trendradar" expertise: ['Specialized Knowledge', 'Best Practices', 'Industry Standards'] philosophy: "Excellence through expertise." credentials: ['Industry leader', 'Practiced expert', 'Thought leader'] principles: ['Quality first', 'Continuous improvement', 'Evidence-based decisions', 'Customer focus']

TrendRadar Skill

Overview

AI-powered trending topic monitoring and analysis from 35+ platforms. Cut through information overload with intelligent aggregation, filtering, and AI-powered conversational analysis. Perfect for research, content ideation, and opportunity discovery.

Source: sansan0/trendradar (4.5K+ stars)
Platforms: 35+ including Douyin, Zhihu, Bilibili, Weibo, Twitter, Reddit, HackerNews
Use Cases: Research, content, investing, PR, market analysis

Anti-Rationalization Table

Rationalization	Reality
"I'll figure it out as I go"	A structured approach saves time and reduces errors. Follow the workflow in this skill rather than improvising.
"I already know this topic"	Familiarity breeds shortcuts. Use the checklist to verify you haven't missed critical steps.
"This doesn't apply to my situation"	The patterns here generalize across contexts. Adapt, don't skip — the underlying principles hold.
"One more tool will fix it"	Adding complexity rarely solves process gaps. Master the core workflow first.

When to Use

Trigger phrases:

"trendradar"
"AI-powered trending topic monitoring from 35+ platforms"
Monitor industry trends in real-time
Research content topics and viral hooks
Track brand sentiment and PR
Identify emerging opportunities early
Multi-source trend aggregation
Sentiment analysis for decisions

MCP Server Setup

Configuration and connection setup for the MCP server.

Installation

{
  "mcpServers": {
    "trendradar": {
      "command": "npx",
      "args": ["-y", "@trendradar/mcp-server"],
      "env": {
        "TRENDRADAR_API_KEY": "${TRENDRADAR_API_KEY}"
      }
    }
  }
}

Alternative: Direct Run

npx -y @trendradar/mcp-server

Available Tools (13 MCP Tools)

Complete list of available MCP tools and their parameters.

1. Search Trends

// Search trending topics across platforms
searchTrends({
  keyword: "AI",           // Search term
  platforms: ["twitter", "reddit", "hackernews"],
  timeRange: "24h",        // 1h, 6h, 24h, 7d, 30d
  limit: 20
})

2. Get Platform Trends

// Get trends from specific platform
getPlatformTrends({
  platform: "twitter",      // twitter, reddit, hackernews, etc.
  category: "technology",
  limit: 50
})

3. Analyze Trend

// Deep analysis of a trend
analyzeTrend({
  topic: "AI agents",
  includeSentiment: true,
  includeRelated: true
})

4. Get Trend History

// Historical trend data
getTrendHistory({
  topic: "GPT-5",
  timeRange: "30d",
  interval: "1d"
})

5. Compare Topics

// Compare trending topics
compareTopics({
  topics: ["AI", "crypto", "web3"],
  timeRange: "7d"
})

6. Get Sentiment Analysis

// Sentiment for topic
getSentiment({
  topic: "Tesla",
  platforms: ["twitter", "reddit"]
})

7. Monitor Keywords

// Set up keyword monitoring
monitorKeywords({
  keywords: ["AI startup", "new product"],
  platforms: ["twitter", "reddit"],
  notify: true
})

8. Get Trending Products

// Find trending products
getTrendingProducts({
  category: "software",
  timeRange: "7d"
})

9. Get Viral Content

// Find viral content
getViralContent({
  topic: "AI video",
  platforms: ["twitter", "tiktok"],
  limit: 10
})

10. Cross-Platform Analysis

// Analyze across platforms
crossPlatformAnalysis({
  topic: "AI tools",
  includePlatforms: ["twitter", "reddit", "hackernews", "ProductHunt"]
})

Supported Platforms

Platforms and services this skill integrates with.

Social Media

Platform	Type	Key Metrics
Twitter/X	Trends	Engagement, Retweets
Reddit	Subreddits	Upvotes, Comments
HackerNews	Tech	Karma, Comments
Bilibili	Video	Views, Likes
Douyin	Short Video	Views, Shares
Weibo	Social	Reads, Likes
Zhihu	Q&A	Answers, Likes

News & Media

Platform	Type
Google News	News aggregation
NewsAPI	Global news
Bing News	Microsoft news

Tech & Product

Platform	Type
ProductHunt	Product launches
GitHub	Trending repos
Dev.to	Developer content

Use Cases

Real-world scenarios where this skill provides value.

1. Content Research

Use: larry-playbook + trendradar

1. Search trending topics in niche
2. Identify viral hooks
3. Analyze sentiment
4. Create content
5. Publish and track

2. Investment Research

Use: trading + trendradar

1. Monitor industry trends
2. Track company sentiment
3. Identify emerging tech
4. Analyze competitor mentions

3. Competitor Monitoring

Use: market-research + trendradar

1. Track competitor mentions
2. Sentiment analysis
3. PR impact analysis
4. Market positioning

4. PR & Brand Monitoring

Use: analytics + trendradar

1. Brand mention tracking
2. Sentiment monitoring
3. Crisis detection
4. Impact measurement

Integration with 1ai-skills

How to connect this tool with the 1ai-skills ecosystem.

Research Pipeline

trendradar → ai-research-agent → content-creation → publishing
   ↓              ↓                   ↓              ↓
Find trends   Analyze            Create          Distribute

Skill Synergies

Skill	Use Case
ai-research-agent	Deep trend analysis
larry-playbook	Viral content creation
market-research	Competitor analysis
content-creator	Multi-platform content

With Continuous Learning

1. Monitor trends daily
2. Track successful content
3. Learn what works
4. Improve recommendations

Notification Channels

Configure alerts to:

WeCom - Enterprise chat
Feishu - Lark/Feishu
DingTalk - Alibaba DingTalk
Telegram - Bot notifications
Email - Daily summaries
ntfy - Push notifications

Best Practices

Key aspects of trendradar relevant to this section.

Do's

✅ Use specific keywords for targeted results
✅ Set up daily monitoring for priorities
✅ Cross-reference multiple platforms
✅ Use sentiment for quality判断
✅ Track historical data for patterns

Don'ts

❌ Don't monitor too many keywords
❌ Don't ignore negative sentiment
❌ Don't rely on single platform
❌ Don't skip competitor monitoring

Metrics

Metric	Target
Topics monitored	20-50
Platforms covered	10+
Update frequency	Real-time
Sentiment accuracy	>80%

Version History

v1.0 (2026-02-27) - Initial creation
- Based on TrendRadar MCP server
- 35+ platform integration

When NOT to Use

When the research requires access to proprietary databases or paywalled sources
When findings will be used for financial decisions requiring licensed advisor review
When the task is too trivial to warrant this skill
When a more appropriate skill exists

Common Rationalizations

Rationalization	Reality
"I'll do this later"	Explain why this excuse is wrong for this skill
"This is simple, skip steps"	Even simple tasks benefit from process

Red Flags

Research relies on a single unverified source
Agent presents speculation as confirmed findings
Watch for shortcuts and skipped steps

Verification

After completing this skill, confirm:

Findings are verified across multiple independent sources
Research methodology is documented and reproducible
All required outputs generated
Success criteria met

Agent Reach Integration

For deeper platform scraping beyond trend monitoring, use skill://agent-reach:

# After identifying trending topics via TrendRadar, deep-dive on Twitter
agent-reach twitter search "trending topic" --limit 100

# Reddit discussion analysis
agent-reach reddit search "trending topic" --limit 50

# YouTube video transcript analysis
agent-reach youtube search "trending topic" --limit 20 --transcript

# XiaoHongShu trend research (Chinese market)
agent-reach xhs search "热门话题" --limit 50

Use TrendRadar for monitoring and alerting, Agent Reach for deep content extraction. Combine with skill://social-intelligence for full sentiment analysis.

Related Skills

ai-research-agent - Deep research
larry-playbook - Viral content
market-research - Competitor analysis
social-intelligence - Cross-platform sentiment
continuous-learning - Learn from trends

Process

Analyze the task requirements
Apply domain expertise
Verify output quality

trendradar

Files1

SKILL.mdresearch/trendradar/SKILL.md