conversation-context

Analyze conversation history to route messages by context and intent.

Updated Feb 9, 2026
One-click install
npx skills add https://github.com/Tzeusy/butlers --skill conversation-context-tzeusy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: conversation-context
Source: https://github.com/Tzeusy/butlers/tree/main/roster/switchboard/.agents/skills/conversation-context
Command: npx skills add https://github.com/Tzeusy/butlers --skill conversation-context-tzeusy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps in accurately routing messages by intelligently using the preceding conversation history, preventing misinterpretations and ensuring continuity.

Core Features & Use Cases

  • Contextual Routing: Leverages past messages to understand the intent of the current message.
  • History Interpretation: Provides clear formatting for conversation history and usage rules.
  • Worked Examples: Demonstrates how to use history for follow-up questions and referential messages.

Quick Start

Use the conversation-context skill to route the current message, considering the provided conversation history.

Frequently Asked Questions about conversation-context

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

FAQPage Schema
How do I route messages accurately using conversation history?

Message routing using conversation history analyzes chronological logs to understand context and intent, ensuring accurate follow-up actions and consistent responses across real-time and email channels.

What is contextual understanding for follow-up questions?

Contextual understanding for follow-up questions leverages preceding conversation logs to interpret intent, preventing misinterpretations and ensuring continuity in real-time messaging and email channels.

How do I format conversation logs for natural language processing?

Formatting conversation logs for natural language processing requires parsing chronological message logs and applying specific usage rules to provide clear structure for context utilization.

Does intelligent message routing work with both real-time messaging and email?

Intelligent message routing works with both real-time messaging and email channels by applying specific usage rules to parsed chronological conversation history for accurate follow-up actions.

Why does my follow-up message routing fail to understand context?

Follow-up message routing fails to understand context when chronological conversation logs are not properly parsed or when specific usage rules for context utilization are not applied.

What's the best way to ensure consistent responses in message routing?

The best way to ensure consistent responses in message routing is to intelligently utilize preceding conversation history, preventing misinterpretations and ensuring continuity across channels.