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Support Agent

A 24/7 support agent that answers from your knowledge base.

A 24/7 support agent that answers from your knowledge base, books appointments, and hands anything tricky to a human with full context.

Support Agent preview
Best for
Small businesses, shop owners
Time needed
~1 hour setup
Level
Beginner-friendly

Install it in 3 steps

No sign-up. No CLI tools. Pick your AI, copy one line, paste it over.

Download ZIP directly

Prefer doing it yourself? Download the ZIP, unzip it into the directory shown above, restart your AI session — same result.

Real-world proof

Real people did this exact job with AI agents.

What’s inside

One SKILL.md (the playbook) + one starter template. A preview:

Support Agent

When to use

  • Customers wait hours for answers your FAQ already covers
  • Night and weekend calls ring unanswered — and cost you orders
  • Appointment requests come in through chat, WhatsApp, or the phone and pile up
  • Order-status lookups and payment instructions need instant answers
  • Your team can't afford a full support desk yet but the inbox says otherwise

Workflow

Start with discovery: products, prices, payment methods, support policies. The fastest route is feeding the agent your website URL and letting it learn the site in about a minute — then fill the gaps by hand (the website never covers everything: refunds, edge cases, your actual policies). Whatever the knowledge base can't teach it, the agent must never guess.

  1. Feed it the business (input: website URL + FAQs + policies → output: knowledge pack)

Hook up what the agent needs to act on: the calendar for booking, the order system for status lookups, the CRM for logging. Before touching real channels, test with 3 sample questions plus 1 sample booking and confirm every answer against your real data. If a tool can't be connected, say so in the handoff — don't fake the function.

  1. Connect the tools (input: knowledge pack + calendar / order system → output: working agent)

Start with low-friction channels: night coverage, FAQs, order queries. Then add WhatsApp or a website widget. Voice comes last: run test calls, approve every script, and set up the recording disclosure where the law requires it. Each new channel gets the same test-then-approve treatment.

  1. Open the channels (input: tested agent → output: live on chat / WhatsApp / voice)

Answer from the knowledge pack; give payment info when asked and notify you when payment proof arrives — the human confirms the payment, never the agent. When it can't answer — refunds, complaints, legal questions, anything outside the knowledge base — it hands off to a human with the full conversation attached, never a dead "I can't help."

  1. Answer, book, escalate (input: customer message → output: answer / booking / handoff)

Write structured notes back to the CRM or ticket system: name, contact, issue, outcome. The human who takes over never has to ask "what did the customer already say" twice.

  1. Log every conversation (input: chat/call transcript → output: CRM or ticket entry)

Spot-check escalated conversations every week. Each failed answer becomes a knowledge-base fix or a new escalation rule. You own the escalation rules and the fallback scripts; the agent follows them.

  1. Review and retrain (input: escalation log → output: knowledge-base updates + script fixes)

Output spec

-

  • Knowledge pack: source list (URL, FAQs, policies), plus a written log of what you added by hand

Download the full skill pack (ZIP)

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