Perseveration

Classify speech fragments as Perseveration or No Perseveration in interview transcripts.

Updated Nov 18, 2025

Search Tags:#cognitive-psychology #language-disorder #topic-shift #clinical-interview #perseveration #speech-analysis #nlp-evaluation

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps clinicians, researchers, and AI systems automatically identify Perseveration (PERS) in speech transcripts, distinguishing it from appropriate responses to questions.

Core Features & Use Cases

Automatic PERS detection in interview-like transcripts where topic shifts occur.
Severity scoring and context analysis to gauge the impact on exploration and comprehension.
Structured reporting with rationale to support clinical assessment and research coding for language thought disorders.

Quick Start

Provide a transcript fragment and the interviewer prompt; the system returns a PERS or NO-PERS classification with severity and a brief rationale.

Frequently Asked Questions about Perseveration

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

FAQPage Schema

How do I detect perseveration in speech transcripts automatically?▼

To detect perseveration in speech transcripts, you provide an interview-style transcript fragment and the interviewer prompt to classify whether the subject returns to an earlier topic after a context shift. The system returns a PERS or NO-PERS classification with severity and rationale.

What is perseveration in clinical interview analysis?▼

Perseveration in clinical interview analysis is a language disorder where a subject inappropriately returns to an earlier topic after a topic shift occurs. Identifying this cognitive-psychology phenomenon helps distinguish language thought disorders from appropriate conversational responses.

Can I use automated speech analysis for language disorder evaluation in research?▼

You can use automated speech analysis for language disorder evaluation by processing interview-style transcripts to identify cognitive-psychology markers like perseveration. The system provides structured reporting with severity scoring and rationale to support clinical assessment and research coding.

How do I code transcript fragments for topic shift and perseveration severity?▼

To code transcript fragments for topic shift and perseveration severity, input the speech fragment alongside the interviewer prompt. The system evaluates the exclusion checklist and scratchpad, returning a structured result with domain classification, severity score, and a brief rationale.

Does NLP evaluation differentiate perseveration from normal conversational responses?▼

NLP evaluation differentiates perseveration from normal conversational responses by analyzing whether the subject returns to an earlier topic after a context shift. The system applies an exclusion checklist to filter out appropriate responses before returning a PERS or NO-PERS classification.