chatbot
CommunityBuild context-aware, multi-turn chatbots.
Software Engineering#LLM#RAG#session-management#chatbot#multi-turn#agent-coordination#dialogue-management
Authorliushuang393
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables building and deploying multi-turn chatbots with session history, context maintenance, and optional Agent/RAG integration.
Core Features & Use Cases
- Session management: create and manage multiple conversations with system prompts and metadata.
- History and context: maintain conversation history within a configurable window.
- Agent integration: call Coordinators/SubAgents to delegate tasks.
- RAG integration: optional knowledge augmentation for responses.
- Use Case: Build customer-support bots that handle inquiries and escalate to human agents when needed.
Quick Start
Use ChatBotSkill to start a session and have a multi-turn conversation. Example: bot = ChatBotSkill(); session = bot.create_session(); response = await bot.chat(session.id, "Hello!")
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: chatbot Download link: https://github.com/liushuang393/serverlessAIAgents/archive/main.zip#chatbot Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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