‹ 首页

content-trend-researcher

@alirezarezvani · 收录于 1 周前 · 上游提交 8 个月前

Advanced content and topic research skill that analyzes trends across Google Analytics, Google Trends, Substack, Medium, Reddit, LinkedIn, X, blogs, podcasts, and YouTube to generate data-driven article outlines based on user intent analysis

For you if you often need to mine hot topics from multiple platforms to plan content direction

/ 下载安装
content-trend-researcher.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add alirezarezvani/claude-code-skill-factory/content-trend-researcher
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- alirezarezvani/claude-code-skill-factory/content-trend-researcher
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify alirezarezvani/claude-code-skill-factory/content-trend-researcher
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
827GitHub stars
~1.5K最小装载
~1.5K含声明引用
~19.7K文本包总量
镜像托管

怎么用

技能原文 SKILL.md作者撰写 · MIT · ba18b31

Content Trend Researcher

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.

What This Skill Does

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

  1. Identify trending topics - Find what's gaining traction across platforms
  2. Understand user intent - Analyze search patterns and engagement signals
  3. Discover content gaps - Find underserved topics with high demand
  4. Generate outlines - Create data-driven article structures optimized for engagement
  5. Platform-specific insights - Understand where different content types perform best
Capabilities
Multi-Platform Trend Analysis
  • 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
User Intent Analysis
  • 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"
Content Strategy Intelligence
  • 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
Outline Generation

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)
When to Use This Skill

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
Example Invocations
Basic Topic Research
@content-trend-researcher

Topic: "AI automation for small businesses"
Platforms: Google Trends, Reddit, LinkedIn, YouTube
Intent: Informational
Deep Platform Analysis
@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
@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
@content-trend-researcher

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

Provide the following information:

{
  "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

The skill returns a comprehensive research report:

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

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
Technical Notes
  • 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
Privacy & Ethics
  • 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)

按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

评论

登录即可评论;带「已验证安装」的,是发布者名下有本店的安装或持有记录。