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Faq Page Generator

Community
kostja94
faq-page-generator

When the user wants to create, optimize, or audit FAQ page content. Also use when the user mentions "FAQ page," "frequently asked questions," "help page," "Q&A page," "FAQ schema," "FAQ section," "common questions," "FAQ SEO," "accordion FAQ," "People Also Ask," "PAA," "People Also Search For," "PASF," or "FAQ rich results." For FAQ structured data markup, use schema-markup. For AI search visibility strategy, use generative-engine-optimization.

Overview

Publisherkostja94
Repositorymarketing-skills
Skill namefaq-page-generator
Stars
979
Forks
137
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by kostja94 on GitHub. Read the source before you install it.

Installation

Install the Faq Page Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kostja94/marketing-skills.git /tmp/marketing-skills
mkdir -p .claude/skills
cp -r /tmp/marketing-skills/skills/pages/content/faq .claude/skills/faq-page-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Faq Page Generator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Faq Page Generator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Faq Page Generator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

FeatureRelationshipOptimization
People Also Ask (PAA)FAQ schema triggers PAA-style dropdowns; PAA questions = FAQ sourceFAQPage schema; match question phrasing; "how/what/why" format. PAA ~51% of searches. See serp-features
Featured SnippetAnswers extracted for position zero40-60 words; answer-first; H2/H3; paragraph (70%), list (19%), table (6%). See featured-snippet
GEO / AI OverviewsAI 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 bounceMatch intent; cover related questions. PASF shows 6-8 related queries.
FAQ rich resultFAQPage schema; max 2 dropdowns per SERPRestricted 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

ApproachWhenExample
Page topicIn-page section3-8 questions about that page
ThemeDedicated pageGroup by Billing, Features, Support, Compliance
Logical flowDecision funnelAwareness -> Consideration -> Purchase -> Support
Objection handlingConversion"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

DimensionDedicated PageIn-Page Section
Placement/faq, /help, standalone URLWithin LP, pricing, blog, product page
Count5-30 (5-10 optimal)3-8
StructureCategories, TOC, navigationInline; after main content
SchemaOne FAQPage per pageSame; schema matches visible Q&A
When to useMany questions; support/help hub; central FAQObjection handling; page-specific long-tail; conversion
Related pagescontact-page, docs-page, website-structurelanding-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

ElementRangeNotes
Answer40-80 wordsSweet spot for AI; under 40 = incomplete; over 80 = cut off
Featured Snippet40-60 words45 words most common
First sentence40-50 wordsAnswer immediately
Sentences2-4Standalone, 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

PlacementCountNotes
In-page section3-8Directly related to page
Dedicated page5-10 optimal10-30 if well-crafted; quality over quantity
Schema minimum2+Single Q&A rarely shown
Google displayMax 2 per resultSee 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

  • howto-section-generator: Step-by-step HowTo sections; not FAQ—use HowTo schema, not FAQPage
  • 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

Frequently asked questions

What does the Faq Page Generator AI skill do?

When the user wants to create, optimize, or audit FAQ page content. Also use when the user mentions "FAQ page," "frequently asked questions," "help page," "Q&A page," "FAQ schema," "FAQ section," "common questions," "FAQ SEO," "accordion FAQ," "People Also Ask," "PAA," "People Also Search For," "PASF," or "FAQ rich results." For FAQ structured data markup, use schema-markup. For AI search visibility strategy, use generative-engine-optimization.

Why use Faq Page Generator on TypingMind?

Because you install it once and use it with any model. Faq Page Generator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Faq Page Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kostja94/marketing-skills/tree/main/skills/pages/content/faq. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Faq Page Generator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Faq Page Generator?

As many as you like. As long as a model supports skills, you can use Faq Page Generator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Faq Page Generator AI skill free?

Yes. It is published on GitHub by kostja94 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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