faq-page-generator▌
kostja94/marketing-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Guides FAQ page content, structure, and optimization for SEO, conversion, and rich results (PAA, Featured Snippet, GEO, PASF). FAQ content from real user questions and rich-result targeting.
Pages: FAQ
Guides FAQ page content, structure, and optimization for SEO, conversion, and rich results (PAA, Featured Snippet, GEO, PASF). FAQ content from real user questions and rich-result targeting.
When invoking: On first use, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
FAQ and Rich Results
| Feature | Relationship | Optimization |
|---|---|---|
| People Also Ask (PAA) | FAQ schema triggers PAA-style dropdowns; PAA questions = FAQ source | FAQPage schema; match question phrasing; "how/what/why" format. PAA ~51% of searches. See serp-features |
| Featured Snippet | Answers extracted for position zero | 40-60 words; answer-first; H2/H3; paragraph (70%), list (19%), table (6%). See featured-snippet |
| GEO / AI Overviews | AI cites FAQ blocks; FAQ most cited content type (3-7x more citations) | Self-contained; 40-80 words; entity signals; content in initial HTML. See geo |
| People Also Search For (PASF) | Appears when user bounces; comprehensive FAQ reduces bounce | Match intent; cover related questions. PASF shows 6-8 related queries. |
| FAQ rich result | FAQPage schema; max 2 dropdowns per SERP | Restricted to government/health in many regions; schema still helps PAA, voice, AI |
PAA vs PASF: PAA = expandable question boxes (same SERP). PASF = related queries after bounce. Both benefit from comprehensive, intent-matching content.
Content Sources
Real user: Support tickets, chat logs, sales objections, surveys, reviews.
Rich-result purpose: PAA (search keyword, extract questions), AnswerThePublic, AlsoAsked, Featured Snippet queries, competitor FAQ, keyword research, GEO citation data.
Reverse flow: Use PAA, Featured Snippet, GSC Search queries to find questions you rank for but don't answer.
Content Structure
| Approach | When | Example |
|---|---|---|
| Page topic | In-page section | 3-8 questions about that page |
| Theme | Dedicated page | Group by Billing, Features, Support, Compliance |
| Logical flow | Decision funnel | Awareness -> Consideration -> Purchase -> Support |
| Objection handling | Conversion | "Is it worth it?" "Can I cancel?" |
Page-specific: LP (objection handling); pricing (billing, plans, enterprise); alternatives (migration, comparison); category (materials, recommendations); tools (what is X, how calculated). See landing-page-generator, pricing-page-generator, alternatives-page-generator, category-pages, tools-page-generator.
Dedicated FAQ Page vs In-Page FAQ Section
| Dimension | Dedicated Page | In-Page Section |
|---|---|---|
| Placement | /faq, /help, standalone URL | Within LP, pricing, blog, product page |
| Count | 5-30 (5-10 optimal) | 3-8 |
| Structure | Categories, TOC, navigation | Inline; after main content |
| Schema | One FAQPage per page | Same; schema matches visible Q&A |
| When to use | Many questions; support/help hub; central FAQ | Objection handling; page-specific long-tail; conversion |
| Related pages | contact-page, docs-page, website-structure | landing-page, pricing-page, blog, alternatives, category-pages, tools-page |
Shared rules: Word count, content rules, format, and schema apply to both. Choose placement based on question volume and page purpose.
Accordion: Crawlable?
Yes. Google indexes accordion content fully; hidden content receives full weight.
Requirements: Content in DOM at load (no AJAX on click); use <details>/<summary> or server-rendered HTML; first item expanded. Avoid display: none for primary content. See tab-accordion, rendering-strategies.
Nuance: Some tests suggest visible content outperforms hidden. Use accordion for secondary FAQ; keep primary Q&A visible.
Best Practices
Word Count
| Element | Range | Notes |
|---|---|---|
| Answer | 40-80 words | Sweet spot for AI; under 40 = incomplete; over 80 = cut off |
| Featured Snippet | 40-60 words | 45 words most common |
| First sentence | 40-50 words | Answer immediately |
| Sentences | 2-4 | Standalone, comprehensive |
Content Rules
- Genuine questions: PAA, AnswerThePublic, support; no invented marketing questions
- Standalone answers: Each answer makes sense alone; AI extracts individual pairs
- Content parity: Schema must exactly match visible content; hidden schema = violation
- No duplicates: Each Q&A on one page; choose most authoritative
- Topical focus: FAQs match page topic
- Inverted pyramid: Most important first; data, numbers, actionable advice
- Keywords: 1-2 times naturally; no stuffing
- Quality over quantity: 5-10 excellent beat 50 thin
- Update quarterly: Add questions from emerging trends
Format
- Schema: JSON-LD; one FAQPage per page
- Answer HTML (in schema
text):<a>,<strong>,<em>,<p>,<br>,<ol>; use sparingly - Structure: H2/H3 per question; semantic HTML; answer-first under heading
- Validation: Google Rich Results Test, Schema.org Validator, GSC
Number of Questions
| Placement | Count | Notes |
|---|---|---|
| In-page section | 3-8 | Directly related to page |
| Dedicated page | 5-10 optimal | 10-30 if well-crafted; quality over quantity |
| Schema minimum | 2+ | Single Q&A rarely shown |
| Google display | Max 2 per result | See serp-features |
Question and Answer
Question: Match how users ask ("How do I return?" not "Return Policy"); target "how/what/why"; H2/H3; avoid promotional or invented.
Answer: Answer-first in 40-60 words; paragraph, list, or table by content type; scannable (bullets, bold); self-contained; entity signals. See entity-seo.
Organization
Group by topic; clear hierarchy; TOC, accordions, jump links; audit quarterly.
Initial Assessment
Check project context (.cursor/project-context.md or .claude/project-context.md) for objections, product details, customer language.
Identify: (1) Source of questions (2) Conversion focus (3) Placement (dedicated vs in-page).
Why It Matters
- Reduces support load
- Long-tail and voice search
- Category pages: +157% conversion when FAQ used
- 20-30% CTR lift when rich results display
- 3-7x more AI citations with optimized FAQ
Output Format
- Question list (from research)
- Category structure
- Answer format and tone
- Schema (FAQPage)
- SEO metadata
Related Skills
- tab-accordion: Accordion implementation; details/summary
- serp-features: PAA, Featured Snippet, PASF, FAQ limits
- featured-snippet: Answer length, position zero
- geo: GEO strategy; citable blocks; AI crawlers
- schema-markup: FAQPage implementation
- keyword-research: PAA to FAQ; question keywords
- landing-page-generator, pricing-page-generator, alternatives-page-generator, category-pages, tools-page-generator: In-page FAQ section
- contact-page-generator, docs-page-generator, website-structure: Dedicated FAQ page; FAQ reduces contact form volume
- title-tag, meta-description, page-metadata: Metadata
- entity-seo: Entity signals for GEO
- rendering-strategies: Content in initial HTML
How to use faq-page-generator on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add faq-page-generator
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches faq-page-generator from GitHub repository kostja94/marketing-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate faq-page-generator. Access the skill through slash commands (e.g., /faq-page-generator) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
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Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ 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.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★30 reviews- ★★★★★Maya Tandon· Dec 16, 2024
We added faq-page-generator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Nia Sethi· Dec 12, 2024
faq-page-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sakshi Patil· Dec 8, 2024
Registry listing for faq-page-generator matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Pratham Ware· Nov 27, 2024
Keeps context tight: faq-page-generator is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Dhruvi Jain· Nov 15, 2024
Solid pick for teams standardizing on skills: faq-page-generator is focused, and the summary matches what you get after install.
- ★★★★★Yuki Iyer· Nov 7, 2024
faq-page-generator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yuki Robinson· Oct 26, 2024
faq-page-generator has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Piyush G· Oct 18, 2024
I recommend faq-page-generator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Rahul Santra· Oct 6, 2024
faq-page-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ganesh Mohane· Sep 9, 2024
faq-page-generator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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