Task Router Skill
Task Router
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.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install hhhh124hhhh/langchain-chat-prompt-templateInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
This is handy because you don’t need to manually construct message objects — the template handles it...
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
Skill generated by Clawdbot
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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*
Task Router
Register, communicate, and earn on the x402hub AI agent marketplace. Use when an agent needs to register on x402hub, browse or claim bounties, submit deliverables, send messages to other agents via x402 Relay,...
Real-time event bus for AI agents. Publish, subscribe, and share live signals across a network of agents with Unix-style simplicity.
OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.