openclaw 用例翻译笔记：Multi-Agent Content Factory

chilavert318

834人浏览 · 2026-03-01 21:32:49

chilavert318 · 2026-03-01 21:32:49 发布

内容取之于gitup下awesome-openclaw-usecases-main工程下的30篇英文的用例文章，也是为了学习方便，今天开始逐一翻译留下笔记，供openclaw使用中的学习。

翻译内容

多智能体内容工厂

你是一位内容创作者，在多个平台之间奔波于研究、写作和设计。每个步骤——寻找热门话题、撰写脚本、生成缩略图——都会吞噬你一天中的数小时。如果一支专业智能体团队能在一夜之间处理所有这些工作呢？

此工作流程在 Discord 内建立了一个多智能体内容工厂，不同的智能体在专用频道中处理研究、写作和视觉素材。

功能描述

研究智能体 每天早晨扫描热门故事、竞争对手内容和社交媒体，寻找最佳内容机会
写作智能体 选取最佳想法，并撰写完整的脚本、帖子或新闻稿草稿
缩略图智能体 为内容生成 AI 缩略图或封面图像
每个智能体在其专属的 Discord 频道中工作，保持一切井然有序且易于审查
按计划自动运行（例如，每天上午 8 点），让你醒来时就能看到完成的内容

痛点

内容创作有三个阶段——研究、写作和设计——而大多数创作者都是手动完成所有三个阶段。即使使用 AI 写作工具，你仍然需要逐个提示它们。此系统将智能体串联在一个流水线中，一个智能体的输出成为下一个智能体的输入，完全无需手动干预。

所需技能

Discord 集成，支持多个频道
sessions_spawn / sessions_send 用于多智能体编排
x-research-v2 或类似的社交媒体研究工具
本地图像生成（例如，Nano Banana）或图像生成 API
knowledge-base 技能（可选，用于基于 RAG 的研究）

如何设置

设置一个 Discord 服务器（或让 OpenClaw 为你设置——只需说“为我们设置一个 Discord”）。
为每个智能体创建频道：
- #research —— 热门话题和内容机会
- #scripts —— 书面草稿和大纲
- #thumbnails —— 生成的图像和封面艺术
提示 OpenClaw：

我想让你在 Discord 内为我构建一个内容工厂。
为不同的智能体设置频道：

1. 研究智能体（#research）：每天上午 8 点，研究热门故事、竞争对手内容，
   以及我所在领域在社交媒体上表现良好的内容。发布前 5 个内容机会及其来源。

2. 写作智能体（#scripts）：从研究智能体中获取最佳想法，
   并撰写完整的脚本/帖子/新闻稿草稿。发布在 #scripts 中。

3. 缩略图智能体（#thumbnails）：为内容生成 AI 缩略图或封面图像。
   发布在 #thumbnails 中。

将所有工作组织在不同的频道中。
每天早晨自动运行此流水线。

根据你的平台进行定制：

我专注于 X/Twitter 帖子，而不是 YouTube。将写作智能体改为生成推文帖子，
而非视频脚本。

关键洞见

力量在于 链式智能体 —— 研究为写作提供素材，写作为缩略图提供素材。你无需单独提示每个步骤。
Discord 频道使你可以轻松单独审查每个智能体的工作，并提供诸如“脚本太长”或“更多关注 AI 新闻”的反馈。
你可以将此流程适配于任何内容格式：推文、新闻通讯、LinkedIn 帖子、播客大纲、博客文章。
运行本地模型进行图像生成（如在 Mac Studio 上使用 Nano Banana）可以降低成本并让你有更多控制权。

基于

受 Alex Finn 关于改变生活的 OpenClaw 用例的视频启发。

原文

Multi-Agent Content Factory

You're a content creator juggling research, writing, and design across multiple platforms. Each step — finding trending topics, writing scripts, generating thumbnails — eats hours of your day. What if a team of specialized agents handled all of it overnight?

This workflow sets up a multi-agent content factory inside Discord, where different agents handle research, writing, and visual assets in dedicated channels.

What It Does

Research Agent scans trending stories, competitor content, and social media for the best content opportunities each morning
Writing Agent takes the top ideas and writes full scripts, threads, or newsletter drafts
Thumbnail Agent generates AI thumbnails or cover images for the content
Each agent works in its own Discord channel, keeping everything organized and reviewable
Runs automatically on a schedule (e.g., daily at 8 AM) so you wake up to finished content

Pain Point

Content creation has three phases — research, writing, and design — and most creators are doing all three manually. Even with AI writing tools, you still have to prompt them one at a time. This system chains agents together in a pipeline where one agent's output feeds the next, completely hands-free.

Skills You Need

Discord integration with multiple channels
sessions_spawn / sessions_send for multi-agent orchestration
x-research-v2 or similar for social media research
Local image generation (e.g., Nano Banana) or an image generation API
knowledge-base skill (optional, for RAG-powered research)

How to Set It Up

Set up a Discord server (or ask OpenClaw to do it for you — just say "Set up a Discord for us").
Create channels for each agent:
- #research — trending topics and content opportunities
- #scripts — written drafts and outlines
- #thumbnails — generated images and cover art
Prompt OpenClaw:

I want you to build me a content factory inside of Discord.
Set up channels for different agents:

1. Research Agent (#research): Every morning at 8 AM, research top trending
   stories, competitor content, and what's performing well on social media
   in my niche. Post the top 5 content opportunities with sources.

2. Writing Agent (#scripts): Take the best idea from the research agent
   and write a full script/thread/newsletter draft. Post it in #scripts.

3. Thumbnail Agent (#thumbnails): Generate AI thumbnails or cover images
   for the content. Post them in #thumbnails.

Have all their work organized in different channels.
Run this pipeline automatically every morning.

Customize for your platform:

I focus on X/Twitter threads, not YouTube. Change the writing agent
to produce tweet threads instead of video scripts.

Key Insights

The power is in the chained agents — research feeds writing, writing feeds thumbnails. You don't prompt each step individually.
Discord channels make it easy to review each agent's work separately and give feedback like "scripts are too long" or "focus more on AI news."
You can adapt this for any content format: tweets, newsletters, LinkedIn posts, podcast outlines, blog articles.
Running a local model for image generation (like Nano Banana on a Mac Studio) keeps costs down and gives you more control.