Identify and optimize for featured snippets, People Also Ask boxes, knowledge panels, and rich results on target keywords.
Works with
Covers 10 SERP feature types with specific content formats and schema markup requirements (paragraph/list/table snippets, PAA, knowledge panels, FAQ/HowTo/Review rich results)
Includes a prioritization matrix to assess traffic impact and effort for each feature, plus combination patterns when multiple features appear together
Provides step-by-step audit and optim
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontarget-serpExecute the skills CLI command in your project's root directory to begin installation:
Fetches target-serp from calm-north/seojuice-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate target-serp. Access via /target-serp in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Identify and capture featured snippets, People Also Ask boxes, knowledge panels, and rich results for target keywords.
| Feature | Trigger | Content Format Needed |
|---|---|---|
| Featured Snippet (paragraph) | "What is", "how does", definitional queries | 40-60 word direct answer under an H2/H3 matching the query |
| Featured Snippet (list) | "How to", "steps to", "best", "top" | Ordered or unordered list with H2/H3 heading |
| Featured Snippet (table) | Comparison, pricing, specs queries | HTML <table> with clear headers |
| People Also Ask | Most informational queries | Concise answer (2-3 sentences) under an H2 that matches the PAA question |
| Knowledge Panel | Brand/entity queries | Structured data (Organization, Person), Wikipedia presence, consistent NAP |
| Rich Results (FAQ) | Pages with FAQ content | FAQPage schema markup |
| Rich Results (How-To) | Tutorial/instructional pages | HowTo schema markup |
| Rich Results (Review) | Product/service review pages | Review/AggregateRating schema markup |
| Rich Results (Breadcrumb) | Any page with hierarchy | BreadcrumbList schema markup |
| Sitelinks | Brand queries | Clear site structure, descriptive navigation, internal linking |
Not all SERP features are equally valuable. Use this to decide where to invest effort:
| SERP Feature | Traffic Impact | Effort to Win | Best For |
|---|---|---|---|
| Featured Snippet | Very High | Medium | Informational content sites |
| AI Overview citation | High (growing) | Medium-High | Authority/expertise sites |
| People Also Ask | Medium-High | Low-Medium | FAQ-rich content |
| Video Carousel | High | High | Tutorial/how-to content |
| Local Pack | Very High (local) | Medium | Local businesses |
| Rich Results (Review) | Medium-High | Low-Medium | Product/service reviews |
| Image Pack | Medium | Low-Medium | Visual content creators |
| Shopping Results | Very High (ecommerce) | Medium | Product sellers |
| Knowledge Panel | Medium (brand) | High (long-term) | Established brands |
When multiple features appear together, optimize for the combination:
| Combination | Opportunity |
|---|---|
| AI Overview + Featured Snippet | Optimize for both — structured content with clear answers wins both slots |
| Video + PAA + Featured Snippet | Create a comprehensive guide with video and FAQ section |
| Shopping + Ads + Reviews | Product optimization + review schema + merchant feed |
| PAA only (no snippet) | Snippet opportunity — create snippet-optimized content to claim it |
| AI Overview only (no snippet) | Structured, authoritative content with cited data gets AI inclusion |
| Query Type | Traditional Strategy | AI-Era Strategy |
|---|---|---|
| Informational | Win featured snippet | Win AI Overview citation AND featured snippet |
| Comparison | Create comparison content | Create structured comparison tables with clear verdicts |
| Definition | Write clear definition for snippet | Write authoritative, citable definition with evidence |
| How-to | Create step-by-step list | Create steps with unique insights AI can synthesize |
Traditional features reward format optimization. AI Overviews reward authority and uniqueness.
For each target keyword:
| Keyword | Feature Present | Current Holder | Your Page | Winnable? |
|---|---|---|---|---|
| ... | Featured snippet (paragraph) | competitor.com | /blog/topic | Yes — need better answer |
| ... | PAA (3 questions) | various | No page | Yes — create FAQ section |
| ... | Knowledge panel | — | — | No — need Wikipedia presence |
Featured snippets pull content directly from pages. To win them:
<table> with <thead> and <tbody>PAA boxes appear on a large share of informational searches. To capture them:
PAA answers should be:
Add structured data for rich result eligibility.
Important: Google significantly restricted FAQ rich results in August 2023. FAQPage schema now only generates rich results for well-known government and health authority sites. For most sites, FAQ schema still helps AI systems extract Q&A content but will not produce visible rich results in Google SERPs.
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "What is [topic]?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Direct answer here."
}
}]
}
For step-by-step content. Include name, step array with HowToStep, estimatedCost, and totalTime:
{
"@context": "https://schema.org",
"@type": "HowTo",
"name": "How to [do thing]",
"totalTime": "PT30M",
"step": [{
"@type": "HowToStep",
"name": "Step 1 title",
"text": "Step 1 description",
"image": "https://example.com/step1.jpg"
}]
}
For blog posts and guides: include headline, datePublished, dateModified, author, image.
For every page with hierarchical navigation: define the path from home to current page.
For pages with embedded videos — enables video rich results and video carousels:
{
"@context": "https://schema.org",
"@type": "VideoObject",
"name": "Video title",
"description": "Video description",
"thumbnailUrl": "https://example.com/thumb.jpg",
"uploadDate": "2026-01-15",
"duration": "PT5M30S",
"contentUrl": "https://example.com/video.mp4"
}
For pages with original research or data — surfaces in Google Dataset Search:
{
"@context": "https://schema.org",
"@type": "Dataset",
"name": "Dataset title",
"description": "What this dataset contains",
"creator": { "@type": "Organization", "name": "Your Brand" },
"datePublished": "2026-01-15",
"license": "https://creativecommons.org/licenses/by/4.0/"
}
Marks content sections suitable for text-to-speech and voice assistant extraction:
{
"@context": "https://schema.org",
"@type": "WebPage",
"speakable": {
"@type": "SpeakableSpecification",
"cssSelector": [".article-summary", ".key-finding"]
}
}
Validation: Always validate schema with Google's Rich Results Test before deploying.
For each target keyword and feature:
| Keyword | Target Feature | Current Status | Action Required | Page to Optimize | Priority |
|---|---|---|---|---|---|
| ... | Featured snippet | Competitor holds it | Add snippet-bait paragraph under matching H2 | /blog/guide | High |
| ... | PAA | Not present on our site | Add FAQ section with schema | /blog/guide | Medium |
| ... | Rich result (FAQ) | No schema | Add FAQPage JSON-LD | /faq | Low |
Current SERP Feature Presence
Feature Opportunities [Table from Step 1]
Action Plan [Table from Step 5]
Schema Implementation List For each page needing schema:
Pro Tip: Use the free Schema Markup Generator to build JSON-LD for any page type, and the SERP Feature Landscape tool to explore which features dominate your niche. SEOJuice MCP users can run
/seojuice:keyword-analysisto find high-impression, low-click keywords where SERP features are stealing clicks.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
target-serp has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend target-serp for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: target-serp is focused, and the summary matches what you get after install.
I recommend target-serp for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for target-serp matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: target-serp is focused, and the summary matches what you get after install.
target-serp is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: target-serp is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in target-serp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for target-serp matched our evaluation — installs cleanly and behaves as described in the markdown.
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