Conversation Analysis

Name: Conversation Analysis
Availability: InStock
Author: Outfitter

Analyze conversation transcripts to detect patterns, signals, and behaviors.

28|1|Updated Aug 30, 2025

Search Tags:#analysis #patterns #reporting #signals #conversation

Ready to run

npx skills add https://github.com/outfitter-dev/agents --skill conversation-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Conversation Analysis
Source: https://github.com/outfitter-dev/agents/tree/main/baselayer/skills/conversation-analysis
Command: npx skills add https://github.com/outfitter-dev/agents --skill conversation-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analyze conversation history to identify patterns, signals, and user behaviors for product insights.

Core Features & Use Cases

Signal taxonomy: classify success, frustration, workflow signals
Pattern detection: identify transitions and tool chains
Reporting: generate syntheses and recommendations

Quick Start

Feed a conversation history to the skill and generate a concise report with patterns and suggested actions.

Frequently Asked Questions about Conversation Analysis

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

FAQPage Schema

How do I analyze conversation history for patterns and signals?▼

Pattern analysis extracts signals from chat transcripts by identifying behaviors like frustration, success, and workflow transitions. The Skill processes multi-turn conversation logs and returns structured JSON with confidence scores, timestamps, and contextual quotes for each detected pattern.

What signals can I detect from conversation logs?▼

Signal detection classifies user behaviors into taxonomy categories: success indicators, frustration points, workflow transitions, and tool-chain usage. The analysis applies across sessions to synthesize behavioral patterns and user preferences from the full conversation history.

Can I generate reports from chat transcript analysis?▼

Yes. After analyzing conversation history, the Skill generates syntheses and actionable recommendations in JSON format, including phase-driven workflow results, behavioral classifications with confidence levels, and contextual evidence from the original transcripts.

What input format does conversation analysis require?▼

Conversation analysis accepts multi-turn chat transcripts and conversation logs as input. The Skill processes raw dialogue history to identify patterns, extracting structured signals without requiring pre-formatted data or external dependencies.

How does conversation analysis differ from general text analysis?▼

Conversation-specific analysis focuses on behavioral signals, workflow patterns, and user preferences across dialogue turns rather than static text content. It applies taxonomy-driven classification and detects temporal transitions between conversation phases for product insights.