# Langchain Chat Prompt Template > Guide to using ChatPromptTemplate and MessagesPlaceholder in LangChain for conversational AI. Use when building chatbots, conversational interfaces, or AI assistants that need to maintain conversation history. Use when this capability is needed. - Skill: `tomevault-io/langchain-chat-prompt-template` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/langchain-chat-prompt-template` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/langchain-chat-prompt-template/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/langchain-chat-prompt-template --- # AI 编码 Prompt Skill ## 描述 This is handy because you don’t need to manually construct message objects — the template handles it... ## 类型 - 类型: AI 编码 - 评分: 60/100 ## Prompt ``` This is handy because you don’t need to manually construct message objects — the template handles it for you. When you’re working with chat-based models, you often want to include conversation history (or some sequence of messages). MessagesPlaceholder acts as a stand-in for a dynamic list of messages you’ll provide at runtime. Imagine we’re building a career coach bot that remembers previous questions and answers: from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder from langchain_core.messages import HumanMessage, AIMessage chat_prompt = ChatPromptTemplate.fro ``` ## 来源信息 - 来源: N/A - 原始链接: https://mirascope.com/blog/langchain-prompt-template - 作者: N/A - 互动: 0 赞 ## 元数据 - 收集时间: 2026-01-30T20:48:50.625041 - Prompt 类型: AI 编码 - 质量分数: 60/100 --- *Skill generated by Clawdbot* --- > Source: [Demerzels-lab/elsamultiskillagent](https://github.com/Demerzels-lab/elsamultiskillagent) — distributed by [TomeVault](https://tomevault.io).