Claude-skill-registry faq_database

Imported skill faq_database from openai

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/faq-database-bitwikiorg-skills-md" ~/.claude/skills/majiayu000-claude-skill-registry-faq-database && rm -rf "$T"

manifest: skills/data/faq-database-bitwikiorg-skills-md/SKILL.md

source content

FAQ Database

Purpose: Organize frequently asked questions with answers.

Schema

Property	Type	Options	Purpose
Question	title	-	The question being asked
Category	select	Product, Engineering, Support, HR, General	Question topic
Tags	multi_select	-	Specific topics (auth, billing, onboarding, etc.)
Answer Type	select	Quick Answer, Detailed Guide, Link to Docs	Response format
Last Reviewed	date	-	When answer was verified
Helpful Count	number	-	Track usefulness (optional)
Audience	select	Internal, External, All	Who should see this
Related Questions	relation	Links to related FAQs	Connect similar topics

Usage

Create FAQ entries with properties:
{
  "Question": "How do I reset my password?",
  "Category": "Support",
  "Tags": "authentication, password, login",
  "Answer Type": "Quick Answer",
  "Last Reviewed": "2025-10-01",
  "Audience": "External"
}

Content Template

Each FAQ page should include:

Short Answer: 1-2 sentence quick response
Detailed Explanation: Full answer with context
Steps (if applicable): Numbered procedure
Screenshots (if helpful): Visual guidance
Related Questions: Links to similar FAQs
Additional Resources: External docs or videos

Views

By Category: Group by Category Recently Updated: Sort by Last Reviewed descending Needs Review: Filter where Last Reviewed > 180 days ago External FAQs: Filter where Audience contains "External" Popular: Sort by Helpful Count descending (if tracking)

Best Practices

Use clear questions: Write questions as users would ask them
Provide quick answers: Lead with the direct answer, then elaborate
Link related FAQs: Help users discover related information
Review regularly: Keep answers current and accurate
Track what's helpful: Use feedback to improve frequently accessed FAQs