What makes FAQ Builder notable?

992 downloads. Trust evidence available

How should FAQ Builder be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

FAQ Builder

Generate comprehensive, conversion-focused FAQ sections for ecommerce product pages by systematically analyzing real customer questions, return data, and pur... Skill: FAQ Builder Owner: leooooooow Summary: Generate comprehensive, conversion-focused FAQ sections for ecommerce product pages by systematically analyzing real customer questions, return data, and pur... Tags: latest:1.1.0 Version history: v1.1.0 | 2026-06-05T14:40:44.220Z | user Version 1.0.2 of faq-builder - No file changes detected in this release. - Content, functionality, and documentation remain unchanged fr

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

992

Updated

Oct 11, 2026

Version

1.1.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 992 downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 992 downloadsadoption · observed Oct 11, 2026
Latest release: 1.1.0release · observed Jun 5, 2026
Handshake status: UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

Release 1.1.0release
Version 1.0.2 of faq-builder - No file changes detected in this release. - Content, functionality, and documentation remain unchanged from the previous version. - Release may address metadata or platform-level updates not affecting user-facing features.
Observed Jun 5, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s17974h9acjg4h7h5djv1hg51d83hcca:faq-builder

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-leooooooow-faq-builder/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

59,899 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: FAQ Builder
description: Generate comprehensive, conversion-focused FAQ sections for ecommerce product pages by systematically analyzing real customer questions, return data, and purchase objections.
---

# FAQ Builder

Generate comprehensive, conversion-focused FAQ sections for your product pages by systematically analyzing the questions real customers ask, the reasons they return products, and the objections that stall purchases. Instead of guessing what buyers want to know, this skill builds FAQ content grounded in actual customer pain points, structured to resolve hesitation at the moment it arises and reduce the support ticket volume that drains your team's bandwidth.

## Quick Reference

| Decision | Strong | Acceptable | Weak |
|---|---|---|---|
| FAQ source data | Support tickets + return reasons + review Q&A + competitor listings | Support tickets only | Writing from memory what you think customers ask |
| Number of FAQs | 8–15 per product, grouped by topic | 5–7 ungrouped FAQs | 2–3 FAQs or 20+ with no grouping |
| Answer length | 2–5 sentences with specifics (dimensions, materials, compatibility) | 1 sentence answer without detail | One-word answers or answers that raise new questions |
| Objection handling | Explicitly names the concern before resolving it | Answers question without acknowledging doubt | Defensive or dismissive tone |
| Platform formatting | Matches platform specs (Amazon character limits, Shopify accordion, TikTok Shop) | Generic HTML list format | Plain text wall, no formatting |
| SEO integration | Target keywords woven naturally into answers | Keywords in questions only | No keyword consideration |
| Update cadence | Reviewed and updated after new support ticket spikes | Reviewed quarterly | Never updated after initial publish |

## Solves

- Product pages that generate high support ticket volume for the same repeated questions
- Return rates driven by "not as described" or "wrong size/compatibility" — both addressable with FAQs
- Conversion drop-off at the product page because buyers can't find answers before checkout
- Listings that lose to competitors whose pages are more complete and trust-building
- Support team spending hours answering questions that should be self-serve
- New product launches with no existing review base to signal trustworthiness
- Marketplaces penalizing listings with high "buyer question" rates (Amazon A9 signals)

## Workflow

### Step 1 — Gather Source Data

The quality of your FAQ is entirely determined by the quality of your input data. Collect:

**Tier 1 sources (highest signal):**
- Support ticket exports filtered by product — look for question patterns appearing 3+ times
- Return reason data — "not as described," "wrong size," "missing feature" all translate to FAQ entries
- Amazon Buyer Questions on your listing and competitor listings in the same category
- 1-star and 2-star review text — complaints reveal unmet expectations you can preemptively address

**Tier 2 source

_meta.json

{
  "ownerId": "kn70fv0ehp50emedet9tx3fekd82pw3b",
  "slug": "faq-builder",
  "version": "1.1.0",
  "publishedAt": 1780670444220
}

output-template.md

# FAQ Section Output Template

## Product Brief
- **Product name:** 
- **Platform(s):** Amazon / Shopify / TikTok Shop / WooCommerce / Other
- **SKU count:** 
- **Category:** 

## Source Data Summary
- **Support ticket themes (top 3):**
  1. 
  2. 
  3. 
- **Top return reasons:**
  1. 
  2. 
- **Competitor Q&A patterns noted:**

## FAQ Section: [Product Name]

### Compatibility & Fit
**Q:**  
**A:** 

**Q:**  
**A:** 

### Shipping & Delivery
**Q:**  
**A:** 

**Q:**  
**A:** 

### Product Specs & Materials
**Q:**  
**A:** 

**Q:**  
**A:** 

### Usage & Instructions
**Q:**  
**A:** 

### Returns & Warranty
**Q:**  
**A:** 

**Q:**  
**A:** 

### Other Questions
**Q:**  
**A:** 

## SEO Notes
- Primary keyword used in: Q___, Q___
- Secondary keywords used in: Q___, Q___
- Schema markup added: Yes / No / Pending

## Maintenance Log
| Date | Trigger | Questions updated |
|---|---|---|
| | | |

platform-formatting-guide.md

# Platform Formatting Guide for FAQ Sections

## Amazon

### A+ Content FAQ Module
- Maximum answers per FAQ module: 6–8 (recommended)
- Character limit per answer: ~1,000 characters
- Questions should include high-search keywords naturally
- Images can accompany answers in premium A+ Content
- FAQs display in an accordion format — question first, answer on expand

### Amazon Customer Q&A (Separate from A+ Content)
- Sellers can answer any customer question in the Q&A section
- Responses show as "Seller" answer — respond to all questions within 24 hours
- High-volume Q&As surface to top of listing (Amazon ranks by helpfulness votes)
- Best practice: answer competitor questions in your category to build authority

### Keyword Strategy for Amazon FAQ
- Include your primary ASIN keyword in 2–3 answers
- Include backend search terms that don't fit naturally in bullet points
- Avoid keyword stuffing — Amazon's algorithm reads FAQs for relevance signals

---

## Shopify

### FAQ Placement Options
1. **Product page FAQ section** — highest-converting placement for pre-purchase questions
2. **Dedicated /faq page** — for brand-level questions (returns, shipping, company info)
3. **Modal / popup** — triggered on exit intent or add-to-cart click (advanced)

### Recommended Apps
- **HelpCenter** — Native Shopify FAQ with accordion UI, no coding required
- **Acecart FAQ** — Lightweight, fast-loading
- **Yotpo** — Integrates FAQ with reviews for social proof combination
- **Custom Liquid section** — Full control; use `<details>` HTML for native accordion

### Schema Markup for Shopify (FAQPage)
Add to your product page or FAQ page template:

```json
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "Does this product come with a warranty?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Yes, all products include a 1-year manufacturer warranty covering defects in materials and workmanship."
      }
    }
  ]
}
```

Schema markup enables Google to show FAQ accordion directly in search results (rich results), expanding your SERP presence without additional ranking effort.

### Character Guidance
- No hard limit, but answers longer than 200 words lose readability
- Aim for 50–150 words per answer on product pages
- Break long answers into bullet points rather than paragraphs

---

## TikTok Shop

### FAQ Behavior on TikTok Shop
- Product page FAQs appear in the "Details" tab below the listing
- Buyers on TikTok skim — prioritize short, direct answers
- Return policy and shipping time are the top 2 buyer concerns on TikTok Shop

### Style Guide for TikTok Shop
- Maximum 3 sentences per answer
- Use casual, direct language matching TikTok's tone
- Lead with the direct answer, then add brief context
- Avoid corporate-speak or legal language

### Priority FAQ Order for TikTok Shop
1. Shipping time and carrier
2. Return / refund policy
3. Size / fit (if apparel)
4. Authenti

quality-checklist.md

# FAQ Builder Quality Checklist

## Source Data Quality
- [ ] Support ticket data reviewed (minimum 30 tickets or 90 days of data)
- [ ] Return reason report pulled and top 3 reasons noted
- [ ] Competitor Q&A sections reviewed for category patterns
- [ ] Review mining completed (1-star and 2-star reviews scanned for questions)
- [ ] At least one tier-1 source used (not just assumptions)

## Question Coverage
- [ ] Compatibility / fit questions addressed
- [ ] Shipping and delivery addressed
- [ ] Return and refund policy clearly stated
- [ ] Product specs and materials answered with specific details
- [ ] Top 3 support ticket themes have dedicated FAQ entries
- [ ] Top 2 return reasons have preemptive FAQ entries
- [ ] 8–15 total questions (not fewer, not overwhelmingly more)

## Answer Quality
- [ ] Every answer contains a specific, direct response (no vague or non-answers)
- [ ] Answers include numbers, dimensions, or material names where relevant
- [ ] No answer is shorter than 2 sentences
- [ ] Tone matches brand voice
- [ ] No defensive or corporate-speak language
- [ ] ACES framework applied: Acknowledge → Clarify → Expand → Seal
- [ ] Answers don't create new unanswered questions

## Platform Compliance
- [ ] Answer length matches platform character limits
- [ ] Format matches platform (accordion, plain text, A+ module)
- [ ] Keywords included naturally in 30–40% of answers
- [ ] FAQPage schema markup added (Shopify/WooCommerce)
- [ ] FAQ placement is above the fold or in a prominent section

## Sequence and Organization
- [ ] Purchase-blocker questions appear first (compatibility, returns, shipping)
- [ ] Questions grouped by topic or follow buyer journey order
- [ ] No company background / brand story questions in product FAQ
- [ ] Most important information leads each answer

## Maintenance Setup
- [ ] Support ticket spike alert configured (>30% increase = review trigger)
- [ ] Quarterly review date set in calendar
- [ ] Return analysis trigger: new batch → check if FAQ-addressable
- [ ] Version/update log started for future reference

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