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.

View Source SKILL.md

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PUBLIC

安装方式

直接复制以下提示词，发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 langchain-chat-prompt-template 技能。若已安装，则直接安装 langchain-chat-prompt-template 技能。

Overview

Skill Key: hhhh124hhhh/langchain-chat-prompt-template
Author: hhhh124hhhh
Source Repo: openclaw/skills
Version: -
Source Path: skills/hhhh124hhhh/langchain-chat-prompt-template
Latest Commit SHA: 1f9ebbc5a9677f1a37fa8c8b17791a72d04bdf9d

Extracted Content

SKILL.md excerpt

# 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*

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