prompt-classifier

Classify Claude Code CLI prompts into intent categories with starter steps.

Updated Nov 24, 2025
One-click install
npx skills add https://github.com/greentcsolutions-lab/tc-helper-app --skill prompt-classifier
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-classifier
Source: https://github.com/greentcsolutions-lab/tc-helper-app/tree/main/.claude/skills/prompt-classifier
Command: npx skills add https://github.com/greentcsolutions-lab/tc-helper-app --skill prompt-classifier

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Classifies Claude Code CLI prompts into concise intent categories to drive downstream skill selection.

Core Features & Use Cases

  • Fast, deterministic classification in fewer than five tokens with a clear CLASS output.
  • Outputs a CLASS and 1–3 starter steps for downstream skills to execute.
  • Use case: integrate into an AI-assisted workflow to route prompts based on intent and proceed with minimal friction.

Quick Start

Classify a new Claude Code CLI prompt to determine its CLASS and starter steps.

Frequently Asked Questions about prompt-classifier

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

FAQPage Schema
How do I classify Claude Code CLI prompts by intent for routing?▼

To classify Claude Code CLI prompts by intent, this Skill uses a rule-based taxonomy to sort prompts into predefined categories. It outputs a specific CLASS and 1–3 starter steps to drive downstream skill selection.

What is deterministic prompt classification in fewer than five tokens?▼

Deterministic prompt classification is a method that uses a fixed output schema and rule-based taxonomy to categorize prompts. It ensures predictable results by outputting a clear CLASS and starter steps within a concise token limit.

How do I route AI-assisted workflow prompts based on minimal intent?▼

You can route AI-assisted workflow prompts by integrating this Skill to classify prompts based on minimal intent. It processes the prompt and provides a CLASS along with 1–3 deterministic starter steps to proceed with minimal friction.

Does prompt classification require any dependencies or components?▼

No, this prompt classifier requires no external dependencies or components to function. It operates independently using a rule-based taxonomy and a fixed output schema to classify prompts and generate starter sequences.

What are the limitations of using a rule-based taxonomy for prompt routing?▼

The limitation of using a rule-based taxonomy for prompt routing is that it only classifies prompts into predefined intent categories. It outputs a fixed schema of one CLASS and 1–3 starter steps, which may not cover novel or ambiguous intents outside the rules.