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fe-answer-customer-questions

Drafts customer question responses into a Google Doc with confidence ratings and references.

Updated Feb 27, 2026
Search Tags:#knowledge management#customer support#slack integration#documentation research#response drafting#q&a generation
One-click install
npx skills add https://github.com/LaurentPRAT-DB/LPT_claude_config --skill fe-answer-customer-questions
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fe-answer-customer-questions
Source: https://github.com/LaurentPRAT-DB/LPT_claude_config/tree/main/skills/fe-vibe-export/fe-workflows/1.2.0/skills/fe-answer-customer-questions
Command: npx skills add https://github.com/LaurentPRAT-DB/LPT_claude_config --skill fe-answer-customer-questions

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of drafting responses to customer inquiries by researching answers from multiple sources and compiling them into a single, well-referenced document.

Core Features & Use Cases

  • Automated Research: Gathers information from public documentation, internal knowledge bases (Glean), and Slack discussions.
  • Consolidated Q&A: Creates a single Google Doc with answers, confidence ratings, and references for all questions.
  • Use Case: Respond efficiently to a batch of customer questions about a new product feature by having the Skill research and draft the answers, complete with links to relevant documentation.

Quick Start

Use the fe-answer-customer-questions skill to draft responses to customer questions found in the provided Google Doc URL.

Frequently Asked Questions about fe-answer-customer-questions

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

FAQPage Schema
How do I draft customer support responses using internal knowledge bases and Slack discussions?▼

You can draft customer support responses by researching public documentation, internal knowledge bases like Glean, and Slack discussions, compiling the findings into a single formatted Google Doc with confidence ratings and references.

What is the best way to automate Q&A generation for a batch of customer questions?▼

Automating Q&A generation involves researching answers from public documentation, internal knowledge bases, and Slack discussions to create a single consolidated Google Doc with answers, confidence ratings, and references.

Can I use Slack threads and Google Docs as input for researching customer inquiry answers?▼

Yes, you can use Slack threads, Google Docs, and raw text as input to research and draft answers to customer inquiries by gathering information from public documentation, internal knowledge bases, and Slack discussions.

Does this automated research tool provide confidence ratings and references for customer support answers?▼

Yes, the automated research tool compiles findings into a single Google Doc that includes confidence ratings and references for all drafted answers to customer questions.

What are the limitations of using automated documentation research for customer support responses?▼

Automated documentation research relies on available information from public documentation, internal knowledge bases like Glean, and Slack discussions, meaning its effectiveness is limited by the accuracy and availability of those source materials.

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