llm-integrator

Community

Bring AI to life: emotional responses from LLMs.

Authorjoshtol
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill bridges the gap between Large Language Models (LLMs) and visual interfaces, automating sentiment analysis and emotion mapping to create emotionally intelligent, conversational AI experiences.

Core Features & Use Cases

  • Claude/GPT Integration: Seamlessly connect to Anthropic Claude or OpenAI GPT APIs for robust conversational AI capabilities.
  • Sentiment-Driven Emotions: Automatically detect sentiment from LLM responses and map it to appropriate mascot emotions, making AI interactions more human-like.
  • Context-Aware Responses: Tailor LLM prompts and emotion mappings based on specific use cases (e.g., retail, healthcare) for highly relevant interactions.
  • Use Case: You're building a customer support chatbot. Use this skill to integrate Claude, enabling the emotive-mascot to display 'concern' when a user reports an issue and 'joy' when a solution is found, making the interaction more human-like.

Quick Start

Use the llm-integrator skill to set up a basic Claude API connection and detect sentiment from a user message, mapping it to a mascot emotion.

Dependency Matrix

Required Modules

@anthropic-ai/sdklodash

Components

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: llm-integrator
Download link: https://github.com/joshtol/emotive-engine/archive/main.zip#llm-integrator

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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