关于 content-marketing-social-listening
面向内容创作者、营销人员和思想领袖的内容营销研究技能，用于发现趋势、倾听社交讨论并评估内容需求。它通过需求、内容缺口、传播潜力和品牌契合度为选题评分。
主要功能
- 01跨平台发现趋势与热门内容
- 02分析受众问题和内容缺口
- 03评估热门内容的传播模式
- 04按多项信号评估内容需求
- 05为内容机会计算评分
适用场景
- 01为特定细分领域寻找选题
- 02制定每周社交倾听计划
- 03比较多个主题的内容机会
- 04规划内容日历
安装
复制下面的命令，在终端中运行。
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npx skills add https:/安装后在 Claude Code 中输入/content-marketing-social-listening确认已加载。
附带文件references/platform_queries.mdscripts/content_opportunity_analyzer.py
详细介绍
内容营销与社交聆听
概述
端到端内容营销研究系统，用于发现热门内容机会、开展社交聆听，并评估任何细分领域的内容需求。专为需要数据驱动内容策略的内容创作者、营销人员和思想领袖打造。
核心能力
1. 社交聆听与趋势发现
发现细分领域中当前正在流行和走红的内容。
工作流：
1. Define niche keywords (e.g., "cardiology", "heart health", "interventional cardiology")
2. Use perplexity-search with recency filter for each platform
3. Aggregate and score by engagement signals
4. Identify patterns in viral content
社交聆听查询模板：
# Twitter/X Trends
query = "What are the most discussed cardiology topics on Twitter/X this week? Include specific tweets and engagement metrics."
# YouTube Trending
query = "What cardiology and heart health videos are trending on YouTube right now? Include view counts and upload dates."
# Reddit Discussions
query = "What are the hot topics being discussed in cardiology and heart health subreddits this week?"
# LinkedIn Professional
query = "What cardiology topics are healthcare professionals discussing on LinkedIn this week?"
# News & Media
query = "What cardiology news stories are getting the most coverage this week?"
2. 知识缺口分析
找出受众提出了哪些问题，却没有得到妥善解答。
工作流：
1. Search for common questions in your niche
2. Analyze existing content quality on those topics
3. Identify gaps where demand exceeds supply
4. Score opportunities by search volume + competition
查询模板：
# Common Questions
query = "What are the most frequently asked questions about [TOPIC] that people struggle to find good answers for?"
# Content Gaps
query = "What aspects of [TOPIC] are underserved by existing content online?"
# Emerging Topics
query = "What are emerging topics in [NICHE] that don't have much content yet?"
3. 热门内容模式分析
了解是什么让细分领域中的内容走红。
分析框架：
| 因素 | 权重 | 评估标准 |
|---|---|---|
| 情绪触发 | 25% | 恐惧、希望、惊喜、愤怒、喜悦 |
| 实用价值 | 25% | 可执行、节省时间或金钱、解决问题 |
| 社交价值 | 20% | 让分享者显得聪明、消息灵通 |
| 新颖性 | 15% | 新数据、反主流观点、抢先入市 |
| 时机 | 15% | 新闻切入点、季节性、文化热点 |
热门内容分析查询：
query = f"""Analyze the top 5 most viral {niche} content pieces from the past month.
For each piece, identify:
1. The emotional trigger used
2. The practical value offered
3. Why people shared it
4. What made it novel
5. Any timing factors that helped"""
4. 内容需求评估
在创作内容之前，量化主题需求。
需求信号（按强弱排序）：
- 搜索量（Google Trends、关键词工具）
- 问题频率（论坛、问答网站）
- 社交互动（点赞、分享、评论）
- 评论中的请求（“请制作一期关于……的视频”）
- 竞争对手在该主题上的表现
查询模板：
query = f"""What is the content demand for "{topic}" in the {niche} space?
Include:
- Estimated search volume or interest level
- Common questions asked about this topic
- How existing content on this topic performs
- Competitor coverage of this topic"""
5. 平台专属策略
YouTube（长篇内容）：
- 搜索：“YouTube [niche] trending videos”
- 信号：24 小时内的观看量、观看量与订阅者数量之比、评论增长速度
- 切入点：标题模式、缩略图分析、开场钩子
Twitter/X（短篇内容）：
- 搜索：“[niche] viral tweets OR threads”
- 信号：转推、引用推文、回复比例
- 切入点：首句模式、串文结构
LinkedIn（专业内容）：
- 搜索：“[niche] LinkedIn viral posts professionals”
- 信号：互动率、评论质量、分享量
- 切入点：个人故事、反主流观点、数据揭示
TikTok/Reels（微内容）：
- 搜索：“[niche] TikTok trends OR viral”
- 信号：观看量增长速度、合拍、拼接
- 切入点：打破固有模式、令人惊讶的事实、讲故事
博客/SEO（常青内容）：
- 搜索：“top [niche] blog posts OR articles”
- 信号：反向链接、SERP 排名、自然流量估算
- 切入点：全面指南、数据研究、操作教程
内容机会评分
使用此框架为每个内容机会评分：
OPPORTUNITY_SCORE = (Demand × 0.3) + (Gap × 0.25) + (Virality_Potential × 0.25) + (Alignment × 0.2)
Where:
- Demand (1-10): How much people are searching/asking
- Gap (1-10): How poorly existing content serves demand
- Virality_Potential (1-10): How shareable the topic is
- Alignment (1-10): How well it fits your expertise/brand
快速入门工作流
寻找下一个热门主题
Step 1: Define your niche keywords (3-5 core terms)
Step 2: Run social listening queries for each platform
Step 3: Identify trending topics in last 7-14 days
Step 4: Score each topic using opportunity framework
Step 5: Validate with knowledge gap analysis
Step 6: Create content calendar with top opportunities
每周社交聆听例行流程
Monday: YouTube + Podcast trends
Tuesday: Twitter/X conversations
Wednesday: LinkedIn professional discussions
Thursday: Reddit + forum deep dive
Friday: News hooks + emerging stories
Weekend: Synthesis + content planning
与其他技能集成
将此技能与以下工具结合使用，效果最佳：
- perplexity-search：实时趋势数据与研究
- research-lookup：附带引用的深入分析
- generate-image：为内容创作视觉素材
- scientific-schematics：制作信息图
- cardiology-content-repurposer：将研究发现转化为适用于多个平台的内容
输出模板
内容机会报告
# Content Opportunity: [TOPIC]
## Demand Score: X/10
- Search interest: [HIGH/MEDIUM/LOW]
- Question frequency: [EXAMPLES]
- Social buzz: [METRICS]
## Gap Score: X/10
- Existing content quality: [ASSESSMENT]
- Unmet needs: [LIST]
- Our angle: [DIFFERENTIATOR]
## Virality Potential: X/10
- Emotional triggers: [LIST]
- Shareability factors: [LIST]
- Timing considerations: [NOTES]
## Recommendation
- Priority: [HIGH/MEDIUM/LOW]
- Format: [VIDEO/ARTICLE/THREAD/etc.]
- Platform: [YOUTUBE/TWITTER/etc.]
- Hook angle: [SUGGESTION]
每周趋势报告
# Weekly Trend Report: [NICHE]
Week of: [DATE]
## Hot Topics This Week
1. [TOPIC] - [PLATFORM] - [WHY TRENDING]
2. [TOPIC] - [PLATFORM] - [WHY TRENDING]
3. [TOPIC] - [PLATFORM] - [WHY TRENDING]
## Emerging Stories
- [STORY] - Virality potential: X/10
## Knowledge Gaps Identified
- [GAP 1]
- [GAP 2]
## Content Calendar Recommendations
| Day | Platform | Topic | Format |
|-----|----------|-------|--------|
| Mon | YouTube | ... | Video |
| Wed | Twitter | ... | Thread |
| Fri | LinkedIn | ... | Post |
## Competitor Watch
- [COMPETITOR] published [CONTENT] - [PERFORMANCE]
最佳实践
- 时效性很重要：趋势数据始终筛选最近 7-14 天的内容
- 跨平台观察：一个平台上的热门内容往往也适用于其他平台
- 速度：先发优势确实存在——要迅速跟进趋势
- 验证：在投入之前，用数据验证直觉
- 迭代：跟踪有效做法，不断改进模式识别
评论
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