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.
Best use case
langchain-chat-prompt-template is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using langchain-chat-prompt-template should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/langchain-chat-prompt-template/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How langchain-chat-prompt-template Compares
| Feature / Agent | langchain-chat-prompt-template | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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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