find-my-docs-gaps

Name: find-my-docs-gaps
Availability: InStock
Author: akiotanaka847

Compare repeat customer-question clusters against published help-center articles to rank documentation gaps.

2|Updated May 8, 2026

Search Tags:#help center #article drafting #CRM enrichment #documentation gaps #content prioritization #support analytics #ticket clustering

Ready to run

npx skills add https://github.com/akiotanaka847/qaio-desktop --skill find-my-docs-gaps

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: find-my-docs-gaps
Source: https://github.com/akiotanaka847/qaio-desktop/tree/main/store/agents/support/.agents/skills/find-my-docs-gaps
Command: npx skills add https://github.com/akiotanaka847/qaio-desktop --skill find-my-docs-gaps

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill identifies where your help center is falling short by analyzing repeat customer questions and ranking the biggest documentation gaps.

Core Features & Use Cases

Gap discovery from customer signals: Uses repeat-question patterns to find clusters that lack matching articles.
Prioritization by impact: Ranks gaps by occurrence volume, customer value (when CRM plan/revenue is available), and freshness (penalizes old, inactive gaps).
Top-3 actionable outputs: Provides the top three gaps with the underlying source tickets and can chain into drafting the corresponding articles.

Quick Start

Ask the AI to run find-my-docs-gaps and provide your help-center platform (and optionally your plan tiers/CRM connection) so it can rank your top three documentation gaps and show the related tickets.

Frequently Asked Questions about find-my-docs-gaps

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I identify missing help center documentation from customer support tickets?▼

To identify missing help center documentation, you can analyze repeat customer-question clusters against existing published articles to filter unmatched patterns and surface gaps. This process compares recurring support tickets with current content to find uncovered topics.

How do I prioritize which help center articles to write next based on support analytics?▼

Prioritize help center articles by ranking documentation gaps according to ticket occurrence volume, customer value from CRM plan tiers, and freshness. This weighted ranking highlights high-impact topics to draft next.

What is the best way to rank documentation gaps using ticket clustering?▼

Ranking documentation gaps through ticket clustering involves grouping repeat customer questions, comparing them to existing articles, and scoring unmatched clusters by occurrence volume and weighted customer value. This yields a prioritized list of missing content.

Can I use CRM enrichment data to prioritize support content gaps?▼

Yes, CRM enrichment data can be used to prioritize support content gaps by applying weighted customer value to ticket clusters. Incorporating plan tiers or revenue helps rank documentation gaps by business impact.

How do I draft fixes for top help center gaps after finding them?▼

After finding top help center gaps, you can draft fixes by chaining the ranked gap outputs into article generation. The system provides the top three gaps with underlying source tickets to inform the drafted content.

Do I need a specific platform to analyze unmatched support ticket clusters?▼

You need to provide your help center platform and optionally connect CRM plan tiers. The system reads patterns.json and existing articles to filter unmatched clusters and report documentation gaps.