OpenClaw
Task Router Skill
Task Router
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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.
安装与使用
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。
SkillHub CLI
skillhub install hhhh124hhhh/langchain-chat-prompt-template打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。
技能说明
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
来源信息
- Source
- github
- Repository
- openclaw/skills
- Path
- skills/hhhh124hhhh/langchain-chat-prompt-template
- Version
- —
- Commit
- 1f9ebbc5a9677f1a37fa8c8b17791a72d04bdf9d
- 分类来源
- rules
- 状态
- active
- 可见性
- public
这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。
来源内容
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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