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faq-page-generator

作者 Kostja Zhang · GitHub ↗ · v1.2.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install faq-page-generator
功能描述
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...
使用说明 (SKILL.md)

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 \x3Cdetails>/\x3Csummary> 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): \x3Ca>, \x3Cstrong>, \x3Cem>, \x3Cp>, \x3Cbr>, \x3Col>; 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
安全使用建议
This skill appears coherent and low-risk because it is instruction-only and requests no credentials or installs. Before using it: (1) avoid pasting or asking the agent to ingest sensitive customer data (support tickets, PII) unless you consent and sanitize it; (2) verify any SEO claims against current search-engine documentation (search features and rules change over time); (3) if the skill references other internal/third-party skills (landing-page-generator, featured-snippet, etc.), ensure those are trusted before chaining; and (4) because the skill can be invoked autonomously by agents (platform default), consider limiting autonomous runs if you have strict data handling policies.
功能分析
Type: OpenClaw Skill Name: faq-page-generator Version: 1.2.0 The skill bundle is a set of SEO-focused instructions for generating FAQ pages and structured data. It contains no executable code, only markdown documentation (SKILL.md) and metadata (_meta.json), with no evidence of malicious prompt injection or data exfiltration attempts.
能力评估
Purpose & Capability
Name/description match the instructions: SKILL.md is a focused guide for creating and optimizing FAQ content and structured data for SEO/rich results. It does not request unrelated credentials, binaries, or system access.
Instruction Scope
Instructions are limited to content and technical SEO guidance (schema, word counts, structure, accordion/crawlability, sources for question discovery). It recommends using 'real user' sources (support tickets, chat logs, surveys) — this is expected for quality FAQ content but means the user/agent may be prompted to supply potentially sensitive customer data. The skill does not instruct the agent to read system files, environment variables, or contact external endpoints by itself.
Install Mechanism
No install spec and no code files — instruction-only. Nothing is written to disk and no external packages are fetched.
Credentials
The skill requires no environment variables, credentials, or config paths. The guidance references other conceptual skills/topics but does not require their credentials or access.
Persistence & Privilege
always is false and the skill is user-invocable/autonomously callable (platform default). There is no request for permanent presence or modification of other skills or agent/system-wide settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install faq-page-generator
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /faq-page-generator 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.2.0
Batch: blog through glossary
v1.1.0
Automated batch sync
元数据
Slug faq-page-generator
版本 1.2.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

faq-page-generator 是什么?

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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 177 次。

如何安装 faq-page-generator?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install faq-page-generator」即可一键安装,无需额外配置。

faq-page-generator 是免费的吗?

是的,faq-page-generator 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

faq-page-generator 支持哪些平台?

faq-page-generator 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 faq-page-generator?

由 Kostja Zhang(@kostja94)开发并维护,当前版本 v1.2.0。

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