Inquiry Intake

Organization

microsoft

inquiry-intake

Takes the customer inquiry from any channel and classifies intent against the taxonomy with the deterministic intent_classify engine. Use when a service inquiry arrives - "where is my order", "it says delivered but I never got it", "can I return this", "is it in stock", "how do I set this up".

Overview

Publisher	microsoft
Repository	`cat-agent-skills`
Skill name	`inquiry-intake`
Stars	95
Forks	115
Bundled files	5
License	MIT
Links	Skill source Repository

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.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by microsoft on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/microsoft/cat-agent-skills/tree/main/submissions/customer-service-order-support/skills/inquiry-intake
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/microsoft/cat-agent-skills/tree/main/submissions/customer-service-order-support/skills/inquiry-intake

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/microsoft/cat-agent-skills.git /tmp/cat-agent-skills
mkdir -p .claude/skills
cp -r /tmp/cat-agent-skills/submissions/customer-service-order-support/skills/inquiry-intake .claude/skills/inquiry-intake

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Inquiry Intake 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 Inquiry Intake 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 Inquiry Intake 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.

Inquiry Intake

Purpose

Structured inquiry + deterministic intent (#1.1). DNR outranks generic WISMO when both match - the contradiction path is safety-relevant.

When to use

Start of every service run.

Inputs

Inquiry text verbatim (chat/email/voice transcript), channel, customer id, order reference; the records extract that ships with the case (records.json - OMS order, carrier scans, loyalty); config/service-config.json. Emits the entry hop (schema in contracts/).

Steps

Capture text verbatim; record channel/tone; note explicit asks (refund now, goodwill credit) as flags.
Run scripts/intent_classify.py --inquiry inquiry.json --config service-config.json --out classified.json
Below the confidence floor -> the run is a handoff, never a guessed answer (#1.1).
Intake is a hop, not a stopping point. Continue to context-assemble in the same run; do not pause to ask for records that ship with the case (records.json).

Output

classified.json - the {intent} hop. Hand straight to context-assemble.

Grounding requirements

Intent cites the taxonomy; the customer's words stay verbatim.

Constraints

No resolution content here; no promises of any kind at intake.

Escalation / uncertainty

Unclassified or ambiguous -> handoff packet path.

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 Inquiry Intake AI skill do?

Why use Inquiry Intake on TypingMind?

Because you install it once and use it with any model. Inquiry Intake 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 Inquiry Intake in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/cat-agent-skills/tree/main/submissions/customer-service-order-support/skills/inquiry-intake. 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 Inquiry Intake?

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 Inquiry Intake?

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

Is the Inquiry Intake AI skill free?

Yes. It is published on GitHub by microsoft 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Inquiry Intake

Purpose

When to use

Inputs

Steps

Output

Grounding requirements

Constraints

Escalation / uncertainty

Bundled files

Frequently asked questions

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