faq-page-generator

faq-page-generator is a skill for Claude Code, Codex from kostja94/marketing-skills. It costs 113 tokens per session (2,003 once invoked), scanned A, original, MIT.

A guide for creating and improving FAQ pages—pages that answer questions people commonly ask about a product, service, or topic. It also covers how search engines and AI systems may interpret those answers.

In plain words
What is it for?
Use it to plan FAQ questions, write answer sections, structure accordions, audit existing FAQ content, and add FAQ structured data when appropriate.
Why use it?
It helps turn real user questions into clear answers and organize them for readability, search visibility, and question-based search features.

Skill for Claude CodeCodex

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

Good fit Use it to plan FAQ questions, write answer sections, structure accordions, audit existing FAQ content, and add FAQ structured data when appropriate.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kostja94/marketing-skills/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 kostja94/marketing-skills --skill faq
Clone the repo
git clone --depth 1 https://github.com/kostja94/marketing-skills

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/kostja94/marketing-skills/faq/github.svg)](https://agentmods.dev/skills/kostja94/marketing-skills/faq)
Your own site
<a href="https://agentmods.dev/skills/kostja94/marketing-skills/faq"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/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/kostja94/marketing-skills/faq"><img src="https://agentmods.dev/badge/skills/kostja94/marketing-skills/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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 11d ago against content hash dab8926d9ffc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 11d 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

Copies of this mod

3 near-identical copies found in the catalogue:

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. 11d 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 kostja94/marketing-skills (963 stars, last pushed 3mo 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

SEO Content Optimizer

Analyzes and rewrites content to maximize search engine visibility without sounding robotic.

Notysoty/openagentskills · 20 tokens

cold-outbound-sequencer

Use when the user asks to "build a B2B cold-outbound sequence", "design reply-triage branching", "plan a domain warmup / sending throttle", or "make my outbound CAN-SPAM / opt-in compliant"; produces a multi-step outbound sequence with reply-triage branches (positive / objection / referral / not-now / opt-out), a…

aaron-he-zhu/aaron-marketing-skills · 172 tokens

inbox-placement-monitor

Use when the user asks to "track where my emails are actually landing after I send", "read my seed-list inbox vs spam vs promotions results", "trend my Gmail Postmaster / Microsoft SNDS reputation", or "did placement drop after my last send"; produces a per-provider inbox/spam/promotions placement read, a domain/IP…

aaron-he-zhu/aaron-marketing-skills · 166 tokens

newsletter-monetization-planner

Use when the user asks to "monetize my newsletter", "build a sponsorship rate card", or "model paid-subscription revenue"; produces a revenue model (paid tiers, ad/sponsorship inventory + CPM/flat rate card, referral/boost loops), a list-growth ↔ revenue projection, and honest-offer / disclosure checks for the SEND-D…

aaron-he-zhu/aaron-marketing-skills · 139 tokens

sales-enablement-kit

Use when the user asks to "build battle cards", "prep the sales team for launch", or "write the internal launch FAQ"; produces the internal enablement kit for a sales-led launch — battle cards vs each named alternative (where we win / where they win / trap questions, every fact traceable), a sales talk track derived…

aaron-he-zhu/aaron-marketing-skills · 166 tokens

launch-day-conductor

Use when the user asks to "run my launch day", "build a launch day runbook / war room", or "decide CONTINUE or ROLLBACK after the push"; produces a pre-conditions gate check (launch-readiness-auditor SHIP verdict + the authoritative date in launch-registry — missing either stops the skill), a dated hour-blocked…

aaron-he-zhu/aaron-marketing-skills · 184 tokens