ai-sorting

Classify and route text content into predefined categories.

11|1|Updated Feb 8, 2026

Search Tags:#routing #ai #classification #tickets #text #sorting #labeling

Ready to run

npx skills add https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills --skill ai-sorting

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-sorting
Source: https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills/tree/main/skills/ai-sorting
Command: npx skills add https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills --skill ai-sorting

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Auto-sort, categorize, or label content using AI. Use when sorting tickets into categories, auto-tagging content, labeling emails, detecting sentiment, routing messages to the right team, triaging support requests, building a spam filter, intent detection, topic classification, or any task where text goes in and a category comes out.

Core Features & Use Cases

Automates content sorting and labeling across channels (tickets, emails, reviews, messages).
Supports single-label and multi-label outputs with deterministic category constraints.
Real-world use: route incoming support inquiries to the correct team based on content and intent.

Quick Start

Provide a text sample and a predefined label set, and return the appropriate category or tags.

Frequently Asked Questions about ai-sorting

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

FAQPage Schema

How do I automatically route support tickets to the correct team?▼

Automatically route support tickets by classifying text content and intent against a predefined label set, outputting deterministic categories to map inquiries to teams. Provide text samples and labels to trigger sorting.

What is the best way to categorize emails and label text streams automatically?▼

Categorize emails and label text streams by feeding content into an AI classifier constrained by deterministic category outputs. It supports single-label and multi-label tagging across support, marketing, and operations channels.

How do I set up AI classification for auto-tagging content?▼

Set up AI classification by providing a text sample and a predefined label set to return the appropriate category or tags. Optional training data can be supplied to improve auto-tagging accuracy.

Does this text sorting approach support multi-label outputs?▼

Yes, this text sorting approach supports both single-label and multi-label outputs with deterministic category constraints. It enforces literal categories from your predefined label set to ensure consistent tagging.

Can I use this for intent detection and spam filtering on customer messages?▼

Yes, you can use it for intent detection, spam filtering, and topic classification on customer messages. It processes text inputs and outputs a specific category, making it suitable for triaging support requests.