conversation-intelligence
CommunityEmpower conversation analysis with deep insights and automation.
Data & Analytics#conversation analysis#information extraction#meeting analysis#speaker identification#emotion recognition
Authormashharuki
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the process of analyzing conversation data, enabling users to efficiently extract valuable insights and automate various tasks related to speaker identification, emotion recognition, and information extraction.
Core Features & Use Cases
- Speaker Identification: Automatically identify speakers in multi-party conversations and track their speaking times.
- Emotion Recognition: Analyze the emotional tone of the conversation and provide insights into the speaker's emotional state.
- Information Extraction: Extract key information such as who, what, when, where, why, and how from the conversation.
- Use Case: Imagine you have a series of recorded meetings or customer interactions. Use this Skill to analyze the conversations, identify key topics, extract action items, and generate summaries for each conversation.
Quick Start
Use the conversation-intelligence skill to analyze the conversation data from the file 'meeting_transcripts.txt'.
Dependency Matrix
Required Modules
pyannote.audiofaster-whispertransformersanthropicspacyja-core-news-lgnumpyscikit-learnpydanticpandaspyannote.metrics
Components
scriptsreferencesassets
💻 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: conversation-intelligence Download link: https://github.com/mashharuki/floci-sample/archive/main.zip#conversation-intelligence Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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