A high-performance framework for building, auditing, and optimizing FAQ content to capture rich results and reduce support overhead.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install faq-page-generator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install faq-page-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is FAQ Page Generator?
The FAQ Page Generator is a specialized skill within the Openclaw Skills library designed to bridge the gap between user intent and search engine visibility. It focuses on creating high-quality FAQ pages and in-page sections that are not just informative, but engineered to trigger People Also Ask (PAA) boxes, Featured Snippets, and AI-generated citations. By emphasizing semantic structure and answer-first writing, this skill ensures your content remains highly relevant in the era of Generative Engine Optimization (GEO).
Beyond SEO, the skill focuses on conversion and support efficiency. It provides guidelines for handling sales objections directly within landing pages and organizing dedicated support hubs. Whether you are implementing accordions for better UX or generating FAQPage JSON-LD schema for search engines, this skill provides a data-driven approach to Q&A content that balances crawlability with a seamless user experience.
FAQ Page Generator Use Cases
- Creating a dedicated FAQ hub to reduce customer support ticket volume.
- Adding conversion-focused Q&A sections to landing pages to handle common sales objections.
- Optimizing existing content to capture PAA (People Also Ask) and Featured Snippet positions on Google.
- Strengthening AI search visibility (GEO) by providing self-contained, entity-rich answer blocks.
- Improving long-tail and voice search rankings for specific user queries.
How FAQ Page Generator Works
- Analyze project context to identify core user objections, product details, and authentic customer language.
- Research high-value questions using sources like support tickets, PAA boxes, and keyword research tools.
- Determine the optimal placement, choosing between a dedicated FAQ page or an in-page section based on question volume.
- Draft concise, 40-80 word answers using an answer-first approach to maximize extraction potential for rich results.
- Organize content using semantic HTML (H2/H3) and accessible UI patterns like accordions.
- Generate valid FAQPage JSON-LD schema to ensure search engines can parse and display the Q&A pairs accurately.
FAQ Page Generator Setup
To use the FAQ Page Generator within your Openclaw Skills environment, ensure your project context is updated and invoke the skill via your AI agent:
# Example: Triggering an FAQ audit or generation
openclaw run faq-page-generator --page "pricing"
Ensure your development environment supports JSON-LD validation and uses semantic HTML structures for the best results.
FAQ Page Generator Data Schema & Taxonomy
The skill organizes FAQ data based on intent, placement, and search requirements:
| Data Component | Description | Requirements |
|---|---|---|
| Question Phrasing | User-centric "how/what/why" queries | Match PAA/Natural Language |
| Answer Block | 40-80 word self-contained text | Answer-first; entity-rich |
| Schema Markup | JSON-LD FAQPage structure | Must match visible content |
| Hierarchy | Categories and Logical Flow | Awareness -> Purchase -> Support |
| UI Meta | Rendering strategy (Accordion/List) | Must be in DOM at load |
FAQ Page Generator Advanced Features
- Multi-agent support for cross-referencing keyword research and schema implementation.
- Integration with GEO (Generative Engine Optimization) strategies to increase AI citation rates by 3-7x.
- Automatic conversion-focused grouping based on the sales funnel (Awareness, Consideration, Purchase).
- Support for complex HTML in schema tags, including links, lists, and bold text for better rich result CTR.
- Dynamic UI recommendations for crawlable accordions using details/summary tags.
SKILL.md
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