faq-page-generator

faq-page-generator is a skill for Claude Code, Codex from T4wroot/agentic-seo. It costs 113 tokens per session (2,003 once invoked), scanned A, a copy of faq-page-generator, MIT.

A guide for creating and improving FAQ pages, which answer common customer questions in a question-and-answer format.

In plain words
What is it for?
Use it to plan FAQ questions and answers, organize an FAQ section, and improve its chances of appearing in search features such as People Also Ask.
Why use it?
It helps turn real user questions into clear page content that can also be easier for search engines to understand.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan FAQ questions and answers, organize an FAQ section, and improve its chances of appearing in search features such as People Also Ask.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/t4wroot/agentic-seo/faq
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add T4wroot/agentic-seo --skill faq
Clone the repo
git clone --depth 1 https://github.com/T4wroot/agentic-seo

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for faq-page-generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/t4wroot/agentic-seo/faq/github.svg)](https://agentmods.dev/skills/t4wroot/agentic-seo/faq)
Your own site
<a href="https://agentmods.dev/skills/t4wroot/agentic-seo/faq"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/faq/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for faq-page-generator

Your own site · 80×15
<a href="https://agentmods.dev/skills/t4wroot/agentic-seo/faq"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/faq.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,003 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00113 $0.02003
Opus 5 $0.00056 $0.01001
Sonnet 5 $0.00023 $0.00401
Haiku 4.5 $0.00011 $0.00200

Measured 5d ago against content hash dab8926d9ffc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

faq-page-generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to faq-page-generator — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/pages/content/faq/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Read the full file on GitHub · 151 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 151 lines · 113 tokens per session scan A dab8926d9ffc

Subscribe to this mod's changes

faq-page-generator is a skill published in the GitHub repository T4wroot/agentic-seo (15 stars, last pushed 6d ago), licensed MIT. It adds 113 tokens to every session and 2,003 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to faq-page-generator, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

fire-your-seo-agency

A procedure for improving how a website appears in search engines and how AI answer systems find and cite it. It covers search, answer-engine, generative-AI, and Naver visibility.

leopard627/fire-your-seo-agency · 162 tokens

content-thicken

Evidence-driven blog driver. Takes ONE target from the fused search plus AI-answer content library, pulls the real questions it has to answer, drafts a thick long-form guide against a template contract, validates it deterministically, and stops at preview. Two modes, thicken an already-earning post IN PLACE (never…

Jasper0122/agent-seo-kit · 126 tokens

backlink-outreach

Find, evaluate, pitch and track natural backlink and content partnerships. Prospects come from the GEO citation data rather than a generic blog search: the targets are the pages an AI already cites when answering your category questions. Research runs on the Monid tool layer (web search and scrape, authority metrics…

Jasper0122/agent-seo-kit · 133 tokens

geo-monitor

Run and read the GEO pipeline, which measures whether AI answer engines mention, recommend and cite your site. Puts a fixed registry of real user questions to an answer engine through the Monid tool layer, detects the three signals plus competitors, and turns "a rival is named and we are not" into a tracked work…

Jasper0122/agent-seo-kit · 159 tokens

seo-intake

Run and read the SEO intake pipeline. Pulls the organic keyword set for your domain and for each competitor through the Monid tool layer, computes the gap locally, and routes every keyword to the one action that can help it (write-new / striking / build-depth / defend / noise). Use when asked to refresh the SEO queue…

Jasper0122/agent-seo-kit · 117 tokens

bing-duplicate-content-fix

Audit article groups, WordPress categories, or supplied URLs for copied content, near-duplicate templates, search-intent overlap, and keyword cannibalization; prepare exact SEO/AEO/GEO fixes; apply only approved WordPress changes; verify saved and public results; and request a Bing recrawl when authorized. Use for…

TechDivar/bing-webmaster-aeo-mcp · 110 tokens