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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.

hhhh124hhhh0 source installs☆ 0 Repository stars

Installation

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skillhub install hhhh124hhhh/langchain-chat-prompt-template

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Skill instructions

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

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 information

Source
github
Repository
openclaw/skills
Path
skills/hhhh124hhhh/langchain-chat-prompt-template
Version
—
Commit
1f9ebbc5a9677f1a37fa8c8b17791a72d04bdf9d
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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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