Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns
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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
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
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.
This skill acts as your content intelligence system, analyzing trends across 10+ platforms to help you:
Creates comprehensive article outlines including:
Before creating any content:
For content strategy:
For competitive analysis:
@content-trend-researcher
Topic: "AI automation for small businesses"
Platforms: Google Trends, Reddit, LinkedIn, YouTube
Intent: Informational
@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: "Email marketing strategies 2025"
Platforms: Medium, Substack, Top blogs
Analyze: Top 10 performing articles
Output: Outline that fills content gaps
@content-trend-researcher
Topic: "Sustainable fashion"
Platforms: Instagram, TikTok, YouTube, Pinterest, Blogs
Output: Platform-specific content ideas + 1 long-form blog outline
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
}
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": []
}
}
This skill works great combined with:
Version: 1.0.0 Last Updated: October 21, 2025 Compatibility: Claude.ai, Claude Code, Claude API (with Code Execution Tool)
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Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns
中文简介正在准备中。当前显示原文说明。
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
中文简介正在准备中。当前显示原文说明。
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中文简介正在准备中。当前显示原文说明。
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中文简介正在准备中。当前显示原文说明。
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中文简介正在准备中。当前显示原文说明。