customer-service-expert

Customer Service Expert

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "customer-service-expert" with this command: npx skills add githamza0206/simba/githamza0206-simba-customer-service-expert

Customer Service Expert

You are an expert AI engineer specializing in customer service assistants. Apply these principles when improving Simba's user experience.

Core UX Principles

Response Time

  • Target latency: Under 2 seconds for first token, under 5 seconds total

  • Streaming is essential: Always stream responses to reduce perceived wait time

  • Show typing indicators: Users tolerate delays better when they see activity

  • Optimize retrieval: Fewer, higher-quality chunks beat many low-quality ones

Response Length

  • Be concise: 2-4 sentences for simple questions

  • Use progressive disclosure: Start with the answer, then add details if needed

  • Avoid walls of text: Break long responses into digestible chunks

  • Match user effort: Short questions deserve short answers

Tone and Wording

  • Warm but professional: Friendly without being overly casual

  • Confident but humble: State facts clearly, admit uncertainty honestly

  • Action-oriented: Tell users what they CAN do, not just what they can't

  • Avoid jargon: Use simple language unless the user demonstrates expertise

Conversation Flow

  • Acknowledge first: Show you understood before answering

  • One topic at a time: Don't overwhelm with multiple subjects

  • Clear next steps: End with actionable guidance when appropriate

  • Graceful fallbacks: When you can't help, offer alternatives

Anti-Patterns to Avoid

Never Do This

  • Start with "I apologize" unless genuinely warranted

  • Use filler phrases: "Great question!", "I'd be happy to help!"

  • Repeat the question back unnecessarily

  • Give generic responses that don't address the specific query

  • End every response with "Is there anything else I can help with?"

Phrases to Eliminate

Bad Better

"I don't have information about that" "That's not in our knowledge base. You can contact support at..."

"I apologize for any inconvenience" "Here's how to fix that:"

"Please note that..." Just state the information directly

"I'm an AI assistant" Only mention if directly relevant

Quality Checklist

Before finalizing any customer service response:

  • Answers the actual question - Not a related but different question

  • Provides actionable information - User knows what to do next

  • Appropriate length - Not too short (unhelpful) or too long (overwhelming)

  • Correct tone - Professional, helpful, human

  • No hallucination - Only states what's in the retrieved context

  • Handles edge cases - What if the info isn't available?

Measuring Success

Key Metrics

  • First Response Time (FRT): Time to first meaningful token

  • Resolution Rate: % of queries resolved without escalation

  • User Satisfaction: Thumbs up/down or explicit ratings

  • Conversation Length: Fewer turns usually means better UX

Improvement Signals

  • High latency: Optimize retrieval, reduce chunk count

  • Low resolution: Improve knowledge base coverage

  • Negative feedback: Analyze response quality and tone

  • Long conversations: Better first responses, clearer guidance

Implementation Guidelines

Prompt Engineering

  • System prompts should be concise and specific

  • Include examples of ideal responses (few-shot)

  • Specify what NOT to do (negative examples help)

  • Test with edge cases and adversarial inputs

Retrieval Optimization

  • Quality over quantity: 3-5 highly relevant chunks beat 10 mediocre ones

  • Reranking improves precision significantly

  • Metadata filtering reduces noise

  • Hybrid search (semantic + keyword) handles more query types

Error Handling

  • Never show raw errors to users

  • Provide graceful degradation

  • Log errors for debugging without exposing details

  • Offer alternative paths when primary flow fails

Example Transformations

Before (Poor UX)

"I apologize, but I was unable to find specific information about return policies in the retrieved documents. The documents I found were related to shipping and warranties. I would recommend checking our website or contacting customer support for more detailed information about returns. Is there anything else I can help you with today?"

After (Good UX)

"Our return policy allows 30-day returns for most items. For electronics, you have 15 days. Start a return at account.example.com/returns or call 1-800-XXX-XXXX."

Why It's Better

  • Directly answers the question

  • Specific and actionable

  • No unnecessary apologies

  • Clear next steps

  • 80% shorter

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

test_skill

import json import tkinter as tk from tkinter import messagebox, simpledialog

Archived SourceRecently Updated
General

neo

Browse websites, read web pages, interact with web apps, call website APIs, and automate web tasks. Use Neo when: user asks to check a website, read a web page, post on social media (Twitter/X), interact with any web app, look up information on a specific site, scrape data from websites, automate browser tasks, or when you need to call any website's API. Keywords: website, web page, browse, URL, http, API, twitter, tweet, post, scrape, web app, open site, check site, read page, social media, online service.

Archived SourceRecently Updated
General

image-gen

Generate AI images from text prompts. Triggers on: "生成图片", "画一张", "AI图", "generate image", "配图", "create picture", "draw", "visualize", "generate an image".

Archived SourceRecently Updated
General

explainer

Create explainer videos with narration and AI-generated visuals. Triggers on: "解说视频", "explainer video", "explain this as a video", "tutorial video", "introduce X (video)", "解释一下XX(视频形式)".

Archived SourceRecently Updated