Clanging

Classifies speech fragments into CLG or NO-CLG using phonological cues.

Updated Nov 18, 2025

Search Tags:#language-disorder #clg #transcript-classification #clinical-linguistics #speech-analysis #research-tool #clanging

Ready to run

npx skills add https://github.com/Kikolo3000/topsy_databaseprocessing-agent --skill clanging

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Clanging
Source: https://github.com/Kikolo3000/topsy_databaseprocessing-agent/tree/main/skills/CLG
Command: npx skills add https://github.com/Kikolo3000/topsy_databaseprocessing-agent --skill clanging

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps clinicians and researchers quickly identify speech that is driven by phonological patterns rather than meaning, enabling consistent evaluation of Clanging in transcripts.

Core Features & Use Cases

Automated classification of fragments into CLG or NO-CLG to support clinical assessment and linguistic research.
Suitable for analysis of interview transcripts, therapy sessions, and experimental datasets.
Example: given a transcript excerpt, determine if word choices are guided by rhymes, alliteration, or sound-based chaining.

Quick Start

Use the Clanging skill to analyze a provided text fragment and return a CLG/NO-CLG verdict.

Frequently Asked Questions about Clanging

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

FAQPage Schema

What is clanging in speech and how do I detect it in a transcript?▼

Clanging in speech is a language thought disturbance where word choices are driven by phonological patterns like rhymes and alliteration rather than meaning. You can detect it by analyzing transcript fragments for sound-based chaining to classify speech as CLG or NO-CLG.

How do I classify speech fragments for clinical linguistics research?▼

To classify speech fragments for clinical linguistics research, analyze the text for phonological cues such as punning, rhymes, and alliteration. This deterministic analysis evaluates transcripts and outputs a concise CLG or NO-CLG verdict for each fragment.

Can I use automated transcript classification for therapy session analysis?▼

Yes, you can use automated transcript classification for therapy session analysis to assess language thought disturbances. It evaluates interview transcripts and determines if word choices are guided by sound-based chaining, returning a CLG or NO-CLG verdict.

Does clanging detection work with experimental datasets for treatment planning?▼

Clanging detection works with experimental datasets for treatment planning by providing consistent evaluation of speech driven by phonological patterns. It processes provided text fragments from experimental data to output a deterministic CLG or NO-CLG classification.

What are the limitations of automated clanging classification in clinical interviews?▼

A limitation of automated clanging classification is that it relies on prompt-guided analysis of phonological cues in provided text fragments. It outputs a binary CLG or NO-CLG verdict and may not capture the full contextual nuance of clinical interviews without supplementary assessment.