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label-cluster

Assign a concise noun-phrase label to a cluster of user quotes.

Updated Apr 21, 2026
Search Tags:#classification#theme#cluster#quotes#label#product-feedback#user-complaints
One-click install
npx skills add https://github.com/speplinski/hackathon-opus-47 --skill label-cluster
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: label-cluster
Source: https://github.com/speplinski/hackathon-opus-47/tree/main/skills/label-cluster
Command: npx skills add https://github.com/speplinski/hackathon-opus-47 --skill label-cluster

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The tool assigns a precise, concise label to a cluster of quotes to enable quick triage and consistent analytics.

Core Features & Use Cases

  • Determine the shared theme across representative quotes
  • Produce a single noun-phrase label suitable for dashboards and routing
  • Supports governance of qualitative feedback by standardizing themes

Quick Start

Return a JSON object with a single field label that names the cluster's theme.

Frequently Asked Questions about label-cluster

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

FAQPage Schema
How do I label clusters of user feedback quotes for product triage?▼

To label clusters of user feedback quotes for product triage, assign a single concise noun-phrase label to each grouped set of similar quotes. This standardizes qualitative feedback themes for consistent routing and analytics dashboards.

What is the best way to standardize product feedback themes from raw user quotes?▼

Standardizing product feedback themes from raw user quotes involves determining the shared theme across representative quotes and producing a single noun-phrase label. This ensures standardized governance of qualitative feedback across features and experiences.

How long should a cluster label be for product feedback dashboards?▼

A cluster label for product feedback dashboards should be 1 to 60 characters long. It must be a single noun-phrase that is reflective of the quotes and free of framing or evaluative language to enable consistent analytics.

Can I use automated theme classification for grouping user complaints?▼

You can use automated theme classification for grouping user complaints by applying this process to clusters derived from raw quotes grouped by similarity. It returns a single anchored label suitable for quick triage and consistent analytics.

What format should the output be when assigning themes to quote clusters?▼

The output format when assigning themes to quote clusters should be a JSON object with a single label field. This field contains the concise noun-phrase that names the cluster's shared theme for dashboard integration.

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