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.