seo-researcher
1
总安装量
1
周安装量
#52158
全站排名
安装命令
npx skills add https://smithery.ai
Agent 安装分布
claude-code
1
Skill 文档
SEO Researcher Skill
Research search trends, keywords, and user intent to inform feature development and content strategy.
Invocation
This skill is invoked by /siftcoder:ideate at Level 3 or can be used standalone.
Capabilities
1. Keyword Research
Research Process:
- Identify seed keywords from spec/domain
- Expand with related terms
- Analyze search volume and competition
- Identify long-tail opportunities
Output Format:
KEYWORD ANALYSIS
Primary Keywords:
âââââââââââââââââââââââââââ¬âââââââââââââ¬ââââââââââââââ¬âââââââââââ
â Keyword â Volume/mo â Competition â Intent â
âââââââââââââââââââââââââââ¼âââââââââââââ¼ââââââââââââââ¼âââââââââââ¤
â [keyword 1] â [X]K â High/Med/Lowâ [type] â
â [keyword 2] â [X]K â High/Med/Lowâ [type] â
â [keyword 3] â [X]K â High/Med/Lowâ [type] â
âââââââââââââââââââââââââââ´âââââââââââââ´ââââââââââââââ´âââââââââââ
Long-Tail Opportunities:
âââ "[long phrase 1]" - [volume] - Low competition
âââ "[long phrase 2]" - [volume] - Low competition
âââ "[long phrase 3]" - [volume] - Low competition
Question Keywords (People Also Ask):
âââ "How to [X]?" - [volume]
âââ "What is [X]?" - [volume]
âââ "Why does [X]?" - [volume]
âââ "[X] vs [Y]?" - [volume]
2. Search Intent Analysis
Intent Categories:
- Informational: User wants to learn something
- Navigational: User looking for specific site/page
- Transactional: User wants to buy/sign up
- Commercial Investigation: User comparing options
Output Format:
SEARCH INTENT MAPPING
Informational Queries (Content Opportunities):
âââ "[query]" â Blog post: "[Title idea]"
âââ "[query]" â Tutorial: "[Title idea]"
âââ "[query]" â FAQ section
Transactional Queries (Conversion Pages):
âââ "[query]" â Landing page: [Focus]
âââ "[query]" â Pricing page optimization
âââ "[query]" â Sign-up flow entry point
Commercial Investigation (Comparison Content):
âââ "[query]" â Comparison page: "[Product] vs alternatives"
âââ "[query]" â Feature showcase page
âââ "[query]" â Case studies / testimonials
Feature-Driven Search Opportunities:
âââ "[feature keyword]" - Build [feature] to rank for this
âââ "[feature keyword]" - [Feature] addresses this search
âââ "[feature keyword]" - Content + feature combination
3. Trend Analysis
Research Methods:
- Google Trends data
- Social media trending topics
- Industry news and announcements
- Seasonal patterns
Output Format:
SEARCH TREND ANALYSIS
Rising Searches (YoY Growth):
âââ "[term 1]" - +[X]% - [Insight]
âââ "[term 2]" - +[X]% - [Insight]
âââ "[term 3]" - +[X]% - [Insight]
Declining Searches:
âââ "[term 1]" - -[X]% - [What's replacing it]
âââ "[term 2]" - -[X]% - [Market shift]
Seasonal Patterns:
âââ [Month]: Peak for "[term]"
âââ [Month]: Peak for "[term]"
âââ [Month]: Low season for "[term]"
Emerging Topics:
âââ [Topic 1] - Early stage trend
â âââ Feature opportunity: [Idea]
âââ [Topic 2] - Growing rapidly
â âââ Content opportunity: [Idea]
âââ [Topic 3] - Mainstream soon
âââ Competitive timing: [Recommendation]
4. Competitor SEO Analysis
Output Format:
COMPETITOR SEO ANALYSIS
[Competitor Name]:
âââ Domain Authority: [Score]
âââ Top Ranking Keywords:
â âââ "[keyword]" - Position [X]
â âââ "[keyword]" - Position [X]
â âââ "[keyword]" - Position [X]
âââ Content Strategy:
â âââ Blog posts: [Frequency]
â âââ Topics: [Main themes]
â âââ Top performing: "[Title]"
âââ Backlink Profile:
â âââ Total backlinks: [X]
â âââ Notable sources: [Sites]
âââ SEO Gaps:
âââ Keywords they don't rank for: [List]
Competitive Opportunities:
âââ Keywords to target: [List with rationale]
âââ Content gaps: [Topics not covered]
âââ Technical advantages: [Speed, mobile, etc.]
5. Feature-SEO Mapping
Connect features to search demand:
FEATURE-SEO OPPORTUNITIES
High-Impact Features (Strong Search Demand):
âââ Feature: [Name]
â âââ Target Keywords: "[kw1]", "[kw2]"
â âââ Monthly Search Volume: [Total]
â âââ Current Competition: [Assessment]
â âââ Content Strategy: [How to rank]
â âââ SEO Value: HIGH
â
âââ Feature: [Name]
â âââ ...
Medium-Impact Features:
âââ Feature: [Name]
â âââ ...
Low Search Demand (Build for Users, Not SEO):
âââ Feature: [Name]
â âââ Rationale: [Why still valuable]
6. Content Strategy Recommendations
CONTENT STRATEGY
Pillar Content (Cornerstone Pages):
âââ "[Topic 1]" - Ultimate guide format
â âââ Target keywords: [List]
âââ "[Topic 2]" - Comprehensive resource
â âââ Target keywords: [List]
Supporting Content (Blog/Resources):
âââ Week 1: "[Title]" - [Target keyword]
âââ Week 2: "[Title]" - [Target keyword]
âââ Week 3: "[Title]" - [Target keyword]
âââ Week 4: "[Title]" - [Target keyword]
Link Building Opportunities:
âââ Resource pages in [niche]
âââ Guest posting targets: [Sites]
âââ Broken link opportunities: [Strategy]
âââ Industry directories: [List]
Technical SEO Checklist:
âââ [ ] Page speed optimization
âââ [ ] Mobile-first indexing ready
âââ [ ] Structured data (Schema.org)
âââ [ ] XML sitemap
âââ [ ] Robots.txt optimization
âââ [ ] Canonical tags
âââ [ ] Internal linking strategy
âââ [ ] Image optimization (WebP, lazy loading)
Research Workflow
-
Seed Keyword Generation
- Extract terms from spec
- Brainstorm user search behavior
- List competitor brand terms
-
Search Query Expansion
Web searches to run: - "[domain] keywords" - "[domain] search trends 2025" - "what people search for [domain]" - "[competitor] SEO analysis" - "Google Trends [domain]" -
Analyze Results
- Volume estimation (relative if exact unavailable)
- Competition assessment
- Intent classification
-
Map to Features
- Connect keywords to product capabilities
- Identify feature gaps from search demand
- Prioritize by search volume + fit
-
Strategy Formulation
- Content calendar recommendations
- Feature prioritization by SEO value
- Technical requirements
Tools Used
- WebSearch – Keyword and trend research
- WebFetch – Competitor analysis
- Read/Write – Report generation
Runtime Implementation
This skill includes a minimal skill.ts entry point to satisfy plugin requirements.
The primary value remains in this documentation – see sections above for:
- SEO research patterns
- Keyword analysis workflows
- Best practices
The runtime entry point can be extended with actual functionality as needed.
Quality Guidelines
- Use relative estimates when exact data unavailable
- Explain methodology for volume/competition assessments
- Consider local vs global search patterns
- Account for search engine diversity (not just Google)
- Balance SEO with user value – don’t build for bots only
- Note data freshness – search trends change rapidly