Echolalia
CommunityDetect Echolalia in speech fragments quickly.
Education & Research#classification#transcripts#clinical-research#echolalia#speech-analysis#psycholinguistics
AuthorKikolo3000
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps clinicians and researchers determine whether speech fragments exhibit Echolalia (ECHO) or No-Echolalia (NO-ECHO), enabling consistent labeling in clinical transcripts and related studies.
Core Features & Use Cases
- Structured classification: Evaluates input text for echoic repetition and assigns a label with concise rationale.
- Guided evaluation process: Follows explicit criteria including a scratchpad-like reasoning trace and an exclusion checklist.
- Use Case: Researchers can annotate interview transcripts for studies on Thought Disorder and psycholinguistics, or clinicians can support diagnostic discussions.
Quick Start
Provide a speech fragment to classify. The tool returns a label (ECHO or NO-ECHO) and a structured evaluation including rationale.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Echolalia Download link: https://github.com/Kikolo3000/topsy_databaseprocessing-agent/archive/main.zip#echolalia Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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