content-trend-researcher

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Content Trend Researcher

内容趋势研究员

A comprehensive content research and analysis skill designed for content creators, marketers, and publishers who need to create high-performing content based on real-world trends and user intent signals.

一款面向内容创作者、营销人员和出版商的综合性内容研究与分析技能，可基于真实世界趋势和用户意图信号打造高表现内容。

What This Skill Does

该技能能做什么

This skill acts as your content intelligence system, analyzing trends across 10+ platforms to help you:

Identify trending topics - Find what's gaining traction across platforms
Understand user intent - Analyze search patterns and engagement signals
Discover content gaps - Find underserved topics with high demand
Generate outlines - Create data-driven article structures optimized for engagement
Platform-specific insights - Understand where different content types perform best

这款技能可作为你的内容智能系统，分析10+平台的趋势，帮助你：

识别热门话题 - 发现各平台上正在获得关注的内容
理解用户意图 - 分析搜索模式和参与信号
发掘内容空白 - 找到需求高但未被充分覆盖的话题
生成大纲 - 创建经过优化、以数据为驱动的文章结构，提升用户参与度
平台专属洞察 - 了解不同内容类型在哪些平台表现最佳

Capabilities

核心能力

Multi-Platform Trend Analysis

多平台趋势分析

Google Trends - Search volume trends, rising queries, regional interest
Google Analytics - Traffic patterns, user behavior, conversion signals
Substack - Newsletter trends, subscriber growth patterns
Medium - Article performance, tags, claps, reading time
Reddit - Subreddit activity, upvotes, comment engagement, trending discussions
LinkedIn - Professional content trends, engagement metrics
X (Twitter) - Viral topics, hashtag performance, thread engagement
Blogs - Top-ranking blog posts, backlink profiles
Podcasts - Episode popularity, download trends, ratings
YouTube - Video performance, view trends, watch time, engagement

Google Trends - 搜索量趋势、上升查询、地区兴趣度
Google Analytics - 流量模式、用户行为、转化信号
Substack - 通讯趋势、订阅者增长模式
Medium - 文章表现、标签、点赞数、阅读时长
Reddit - 子版块活跃度、点赞数、评论互动、热门讨论
LinkedIn - 专业内容趋势、参与度指标
X (Twitter) - 病毒式传播话题、话题标签表现、推文串互动
博客 - 排名靠前的博客文章、反向链接档案
播客 - 剧集受欢迎程度、下载趋势、评分
YouTube - 视频表现、观看趋势、观看时长、互动度

User Intent Analysis

用户意图分析

Informational intent - "How to", "What is", "Guide to"
Commercial intent - "Best", "Review", "Comparison", "vs"
Transactional intent - "Buy", "Pricing", "Discount"
Navigational intent - Brand searches, specific resource lookups
Problem-solving intent - "Fix", "Troubleshoot", "Solution"

信息类意图 - "如何"、"是什么"、"指南"
商业类意图 - "最佳"、"评测"、"对比"、"与...对比"
交易类意图 - "购买"、"定价"、"折扣"
导航类意图 - 品牌搜索、特定资源查找
解决问题类意图 - "修复"、"故障排除"、"解决方案"

Content Strategy Intelligence

内容策略智能

Optimal content formats per platform
Best publishing times based on engagement data
Headline formulas with proven performance
Content length recommendations
Topic clustering and pillar content identification

各平台的最优内容格式
基于互动数据的最佳发布时间
经验证有效的标题公式
内容长度建议
话题聚类和支柱内容识别

Outline Generation

大纲生成

Creates comprehensive article outlines including:

SEO-optimized titles with user intent matching
H2/H3 structure based on search patterns
Key points to cover from top-performing content
Suggested word count and content depth
Internal linking opportunities
Call-to-action recommendations
Multimedia suggestions (images, videos, infographics)

创建全面的文章大纲，包括：

匹配用户意图的SEO优化标题
基于搜索模式的H2/H3结构
从高表现内容中提炼的核心要点
建议字数和内容深度
内部链接机会
行动号召建议
多媒体建议（图片、视频、信息图）

When to Use This Skill

使用场景

Before creating any content:

Research trending topics in your niche
Validate content ideas with data
Find content gaps competitors are missing
Understand what format works best for your topic

For content strategy:

Build editorial calendars based on trends
Identify pillar content opportunities
Plan content clusters around hot topics
Optimize existing content for better performance

For competitive analysis:

See what's working for competitors
Find underserved audiences
Discover new content angles
Benchmark your performance

在创建任何内容之前：

研究你的细分领域中的热门话题
用数据验证内容创意
找到竞争对手遗漏的内容空白
了解你的话题最适合哪种格式

用于内容策略：

基于趋势构建编辑日历
识别支柱内容机会
围绕热门话题规划内容集群
优化现有内容以提升表现

用于竞品分析：

查看竞争对手的成功内容
找到未被充分服务的受众
发现新的内容角度
对标自身表现

Example Invocations

调用示例

Basic Topic Research

基础话题研究

@content-trend-researcher

Topic: "AI automation for small businesses"
Platforms: Google Trends, Reddit, LinkedIn, YouTube
Intent: Informational

@content-trend-researcher

Topic: "AI automation for small businesses"
Platforms: Google Trends, Reddit, LinkedIn, YouTube
Intent: Informational

Deep Platform Analysis

深度平台分析

@content-trend-researcher

Topic: "Remote work productivity tools"
Platforms: ALL
Include: User intent breakdown, content gap analysis, 3 article outlines
Target audience: SaaS founders and product managers

@content-trend-researcher

Topic: "Remote work productivity tools"
Platforms: ALL
Include: User intent breakdown, content gap analysis, 3 article outlines
Target audience: SaaS founders and product managers

Competitive Content Research

竞品内容研究

@content-trend-researcher

Topic: "Email marketing strategies 2025"
Platforms: Medium, Substack, Top blogs
Analyze: Top 10 performing articles
Output: Outline that fills content gaps

@content-trend-researcher

Topic: "Email marketing strategies 2025"
Platforms: Medium, Substack, Top blogs
Analyze: Top 10 performing articles
Output: Outline that fills content gaps

Multi-Format Strategy

多格式策略

@content-trend-researcher

Topic: "Sustainable fashion"
Platforms: Instagram, TikTok, YouTube, Pinterest, Blogs
Output: Platform-specific content ideas + 1 long-form blog outline

@content-trend-researcher

Topic: "Sustainable fashion"
Platforms: Instagram, TikTok, YouTube, Pinterest, Blogs
Output: Platform-specific content ideas + 1 long-form blog outline

Input Format

输入格式

Provide the following information:

json

{
  "topic": "Your main topic or keyword",
  "platforms": ["Google Trends", "Reddit", "YouTube", "etc."],
  "intent_focus": "informational|commercial|transactional|all",
  "target_audience": "Description of your audience",
  "content_type": "blog|article|newsletter|video script|social post",
  "analysis_depth": "quick|standard|deep",
  "number_of_outlines": 1-5
}

请提供以下信息：

json

{
  "topic": "Your main topic or keyword",
  "platforms": ["Google Trends", "Reddit", "YouTube", "etc."],
  "intent_focus": "informational|commercial|transactional|all",
  "target_audience": "Description of your audience",
  "content_type": "blog|article|newsletter|video script|social post",
  "analysis_depth": "quick|standard|deep",
  "number_of_outlines": 1-5
}

Output Format

输出格式

The skill returns a comprehensive research report:

json

{
  "topic_overview": {
    "search_volume": "Monthly search volume estimate",
    "trend_direction": "rising|stable|declining",
    "competition_level": "low|medium|high",
    "opportunity_score": 1-100
  },
  "platform_insights": [
    {
      "platform": "Platform name",
      "trending_content": [],
      "engagement_metrics": {},
      "best_practices": [],
      "content_format": "Recommended format"
    }
  ],
  "user_intent_analysis": {
    "primary_intent": "Intent type",
    "intent_breakdown": {
      "informational": "percentage",
      "commercial": "percentage",
      "transactional": "percentage"
    },
    "top_questions": [],
    "search_patterns": []
  },
  "content_gaps": [
    {
      "gap": "Description of underserved topic",
      "opportunity": "Why this is valuable",
      "difficulty": "low|medium|high"
    }
  ],
  "article_outlines": [
    {
      "title": "SEO-optimized title",
      "subtitle": "Engaging subtitle",
      "target_word_count": 1500-2000,
      "structure": [
        {
          "heading": "H2 heading",
          "subheadings": ["H3", "H3"],
          "key_points": [],
          "research_notes": "Data supporting this section"
        }
      ],
      "seo_keywords": [],
      "internal_links": [],
      "multimedia_suggestions": [],
      "cta": "Suggested call-to-action"
    }
  ],
  "recommendations": {
    "publishing_schedule": "Best days/times",
    "content_format": "Recommended format",
    "promotion_strategy": "Where to share",
    "follow_up_topics": []
  }
}

该技能返回一份全面的研究报告：

json

{
  "topic_overview": {
    "search_volume": "Monthly search volume estimate",
    "trend_direction": "rising|stable|declining",
    "competition_level": "low|medium|high",
    "opportunity_score": 1-100
  },
  "platform_insights": [
    {
      "platform": "Platform name",
      "trending_content": [],
      "engagement_metrics": {},
      "best_practices": [],
      "content_format": "Recommended format"
    }
  ],
  "user_intent_analysis": {
    "primary_intent": "Intent type",
    "intent_breakdown": {
      "informational": "percentage",
      "commercial": "percentage",
      "transactional": "percentage"
    },
    "top_questions": [],
    "search_patterns": []
  },
  "content_gaps": [
    {
      "gap": "Description of underserved topic",
      "opportunity": "Why this is valuable",
      "difficulty": "low|medium|high"
    }
  ],
  "article_outlines": [
    {
      "title": "SEO-optimized title",
      "subtitle": "Engaging subtitle",
      "target_word_count": 1500-2000,
      "structure": [
        {
          "heading": "H2 heading",
          "subheadings": ["H3", "H3"],
          "key_points": [],
          "research_notes": "Data supporting this section"
        }
      ],
      "seo_keywords": [],
      "internal_links": [],
      "multimedia_suggestions": [],
      "cta": "Suggested call-to-action"
    }
  ],
  "recommendations": {
    "publishing_schedule": "Best days/times",
    "content_format": "Recommended format",
    "promotion_strategy": "Where to share",
    "follow_up_topics": []
  }
}

Best Practices

最佳实践

Be specific with topics - "AI for small business accounting" beats "AI"
Choose relevant platforms - Where your audience actually consumes content
Analyze intent carefully - Match your content to what users want
Look for gaps - The best content fills needs others miss
Use data to validate - Don't assume, verify with trend data
Update regularly - Trends change; research monthly for active topics

话题要具体 - "面向小企业会计的AI"比"AI"效果更好
选择相关平台 - 瞄准你的受众实际消费内容的平台
仔细分析意图 - 让你的内容匹配用户需求
寻找空白点 - 最佳内容能填补他人遗漏的需求
用数据验证 - 不要假设，要用趋势数据验证
定期更新 - 趋势会变化，对活跃话题每月进行一次研究

Limitations

局限性

Real-time data requires API access to platforms (not included in skill)
Some platforms limit data access (e.g., X API changes)
Search volume estimates are approximations
Trend data represents past performance, not future guarantees
Platform-specific metrics depend on data availability

实时数据需要平台的API访问权限（本技能不包含）
部分平台限制数据访问（例如X API变更）
搜索量估算为近似值
趋势数据代表过去的表现，不保证未来结果
平台专属指标取决于数据可用性

Integration with Other Skills

与其他技能的集成

This skill works great combined with:

SEO optimization skills - Use outlines for optimized content
Social media scheduling skills - Plan promotion around trends
Email newsletter skills - Create newsletters based on trending topics
Competitive analysis skills - Deeper competitor research
Content calendar skills - Schedule content based on trend timing

该技能与以下技能搭配使用效果极佳：

SEO优化技能 - 用生成的大纲创建优化内容
社交媒体排期技能 - 围绕趋势规划推广
电子邮件通讯技能 - 基于热门话题创建通讯内容
竞品分析技能 - 更深入的竞品研究
内容日历技能 - 根据趋势时间安排内容发布

Technical Notes

技术说明

Uses trend analysis algorithms to identify rising topics
Intent classification based on keyword patterns and SERP analysis
Outline generation follows proven content frameworks (AIDA, PAS, etc.)
Platform insights based on engagement metrics and algorithm signals
Content gap identification through comparative analysis

使用趋势分析算法识别上升话题
基于关键词模式和SERP分析进行意图分类
大纲生成遵循经验证的内容框架（AIDA、PAS等）
平台洞察基于互动指标和算法信号
通过对比分析识别内容空白

Privacy & Ethics

隐私与伦理

Does not access private user data
Uses publicly available trend data and metrics
Respects platform terms of service
No scraping of paywalled or private content
Trend analysis is statistical, not surveillance

Version: 1.0.0 Last Updated: October 21, 2025 Compatibility: Claude.ai, Claude Code, Claude API (with Code Execution Tool)

不访问私人用户数据
使用公开可用的趋势数据和指标
遵守平台服务条款
不抓取付费墙或私人内容
趋势分析为统计性分析，而非监控

版本: 1.0.0 最后更新: 2025年10月21日 兼容性: Claude.ai、Claude Code、Claude API（搭配代码执行工具）