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classify

Classify unstructured text into knowledge management categories with confidence scores.

2|1|Updated Jan 10, 2026
Search Tags:#knowledge management#ai#organization#classification#categorization#natural language processing
One-click install
npx skills add https://github.com/toneron2/agentic-platform --skill classify-toneron2
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: classify
Source: https://github.com/toneron2/agentic-platform/tree/main/.claude/skills/classify
Command: npx skills add https://github.com/toneron2/agentic-platform --skill classify-toneron2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automatically categorizes user-captured thoughts into predefined categories, ensuring your knowledge base remains organized and actionable.

Core Features & Use Cases

  • Intelligent Categorization: Assigns thoughts to 'People', 'Projects', 'Ideas', 'Admin', or 'Needs Review'.
  • Structured Data Output: Provides detailed, category-specific data fields along with a confidence score.
  • Use Case: When you jot down a quick note like "Sarah mentioned a new marketing idea," the AI classifies it under 'People' with relevant details, ensuring you don't lose track of important interactions.

Quick Start

Use the classify skill to categorize the thought "Schedule a meeting with the design team next week".

Frequently Asked Questions about classify

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

FAQPage Schema
How do I automatically categorize unstructured text for personal knowledge management?▼

To categorize unstructured text for personal knowledge management, this Skill uses AI to classify inputs into distinct categories like People, Projects, and Ideas, extracting entities and intent to generate structured data.

What's the best way to organize quick notes into actionable task categories?▼

Organizing quick notes into actionable task categories is achieved by processing text through AI-driven classification, which assigns entries to predefined scopes like task organization and idea incubation with detailed category-specific data fields.

How does AI classification handle intent and sentiment for task organization?▼

AI classification handles intent and sentiment for task organization by analyzing unstructured text inputs, identifying underlying entities and purpose, and outputting structured data with confidence scores for downstream processing.

Can I use automated routing for notes that need a confidence score before review?▼

Automated routing for notes is supported by classifying text into a 'Needs Review' category, providing a confidence score alongside category-specific data fields to ensure accurate tracking and downstream processing.

What are the limitations of AI-driven categorization for idea incubation?▼

A limitation of AI-driven categorization for idea incubation is that it processes only unstructured text inputs, requiring predefined categories like Ideas or Admin, and may assign a confidence score indicating when manual review is necessary.

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