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Support Ticket Triage

Organization
zapier
support-ticket-triage

Triage support tickets by pulling helpdesk context, searching issue trackers and knowledge bases in parallel, classifying the issue, and giving reps a recommended next action.

Overview

Publisherzapier
Repositorygtm-cheat-codes
Skill namesupport-ticket-triage
Stars
349
Forks
21
Bundled files
4
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zapier on GitHub. Read the source before you install it.

Installation

Install the Support Ticket Triage AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/zapier/gtm-cheat-codes/tree/main/skills/customer-support/support-ticket-triage
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zapier/gtm-cheat-codes.git /tmp/gtm-cheat-codes
mkdir -p .claude/skills
cp -r /tmp/gtm-cheat-codes/skills/customer-support/support-ticket-triage .claude/skills/support-ticket-triage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Support Ticket Triage in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Support Ticket Triage on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Support Ticket Triage is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Support Ticket Triage Agent

Use this skill when a support rep needs fast, source-backed context before replying to a customer ticket.

Workflow

  1. Accept a ticket URL, ticket ID, or pasted customer message.
  2. Pull ticket context through Zapier MCP: subject, body, comments, requester, tags, priority, custom fields, status, and assignee.
  3. Search connected systems in parallel:
    • Defect tracker for open or recently fixed bugs.
    • Feature backlog for known gaps or expected behavior.
    • Helpdesk history for similar tickets and resolutions.
    • Knowledge base for docs, runbooks, and troubleshooting steps.
  4. Classify the issue into exactly one category: known defect, feature gap, configuration issue, performance issue, or novel issue.
  5. Return a concise triage summary with evidence, relevant links, and a recommended next action.
  6. Draft a customer-facing reply only when the rep asks.

Zapier MCP And SDK Role

  • Use Zapier MCP to read helpdesk tickets, comments, requester details, issue tracker records, feature backlog items, knowledge-base docs, and optional CRM or account context.
  • Use Zapier SDK only if the workflow becomes a durable automation, such as tagging, escalation packet creation, similar-ticket linking, SLA warnings, follow-up reminders, regression alerts, or triage digests.
  • Keep customer replies, ticket updates, tags, escalation packets, and broad alerts human-approved.

Output Format

  • Ticket category
  • Best matching evidence
  • Related docs or similar tickets
  • Recommended next action
  • Optional customer reply draft
  • Open questions or escalation gaps

Guardrails

  • Do not auto-reply to customers.
  • Do not expose internal defect IDs, sprint numbers, or engineering-only notes in customer-facing drafts.
  • Do not query observability tools unless the rep provides a concrete signal such as a trace ID, timestamp, error code, or request ID.
  • Do not invent matches, timelines, fixes, or customer-impact claims.
  • Do not store ticket data beyond the working session unless the approved workflow explicitly requires it.

Inspired By

This skill is generalized from a real implementation by Corey Smith at ClickUp. Corey built an MCP-powered support triage agent that pulls Zendesk context, searches defect tracking and feature backlog systems in parallel, classifies the ticket, and gives reps structured context before they type a reply.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Support Ticket Triage AI skill do?

Triage support tickets by pulling helpdesk context, searching issue trackers and knowledge bases in parallel, classifying the issue, and giving reps a recommended next action.

Why use Support Ticket Triage on TypingMind?

Because you install it once and use it with any model. Support Ticket Triage is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Support Ticket Triage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zapier/gtm-cheat-codes/tree/main/skills/customer-support/support-ticket-triage. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Support Ticket Triage?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Support Ticket Triage?

As many as you like. As long as a model supports skills, you can use Support Ticket Triage with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Support Ticket Triage AI skill free?

Yes. It is published on GitHub by zapier under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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