OpenClaw的经典实战案例宝典(一)

OpenClaw热度可谓是持续增长,但是怎么用还是个问题,这里就收集了一些经典的实战案例,下面先分享个人认为优质的2个案例。

案例一:多源新闻摘要零重复

这个案例解决用户每日需访问多个新闻源、易重复阅读或遗漏重要内容的问题。

其核心功能是自动从多个来源(RSS 订阅源、新闻网站、通讯简报等)收集新闻,完成去重、分类、摘要处理后,以结构化的日报形式每日定时推送到用户的 Telegram。

帮助用户在信息不超载的前提下高效掌握重要新闻,适用于新闻爱好者、需关注行业动态的职场人士等群体。

安装上以下的Skills:

  • RSS Reader Skill: 从 RSS 订阅源抓取新闻内容;
  • Web Fetch Skill: 爬取指定新闻网站的内容;
  • AI/Analysis Skill: 对文章进行摘要生成与去重处理;
  • Telegram Skill : 将整理好的新闻摘要推送到用户的 Telegram;
  • Memory/Notes Skill : 追踪用户已浏览过的新闻,避免重复推送。

然后给OpenClaw安排任务,下达指令,大概的过程就是给OpenClaw提供新闻源,然后OpenClaw会检查新闻源是否需要登录,对搜索到的新闻进行去重,然后对新闻进行分类,总结摘要后结果推给用户,下面是提示词模板:

You are my Personal News Curator. Every day, gather news from my favorite sources, remove duplicates, and send me one clean digest.

---

DAILY TASK (7:45 AM):

Fetch News from Sources

   RSS Feeds to monitor:
   - [Your preferred news source 1, e.g., BBC World News]
   - [Your preferred news source 2, e.g., TechCrunch]
   - [Your preferred news source 3, e.g., Industry-specific publication]
   - [Add more as needed]

   Also check (optional):
   - Specific Twitter/X accounts for breaking news
   - Reddit communities for trending topics
   - Email newsletters in your inbox

Deduplicate Stories
   - Same event reported by multiple sources = one entry
   - Keep the most comprehensive version or mix perspectives
   - Group related stories together (e.g., "Ongoing: Climate Summit Updates")

Categorize and Prioritize

   Categories (in order of my priority):
   🌍 **World News** — Major international events
   💼 **Business/Tech** — Industry news, markets, innovation
   🏛️ **Politics** — Government, policy, elections
   🧪 **Science** — Research, discoveries, health
   🎭 **Culture** — Arts, entertainment, lifestyle
   ⚽ **Sports** — Major games and results (if enabled)

Summarize Each Story
   - Headline (clear and informative)
   - 2-3 sentence summary of key facts
   - Why it matters (context)
   - Source link (if I want to read more)

Send Formatted Digest via Telegram

案例二:社交媒体监控

该案例是基于 OpenClaw 搭建的社交媒体监控 AI Agent,适用于企业、个人品牌运营者,或希望实时掌握自身网络热点的人群。

该代理可自动追踪 X/Twitter、Reddit 等平台中指定关键词的相关提及的内容,无需人工手动检索;能收集提及内容并分析情感倾向(正面 / 负面 / 中性),每日生成清晰汇总报告。

帮助使用者及早发现客户投诉、把握正面提及的互动机会,避免遗漏重要的网络舆情。

这个案例需要依赖以下的Skills:

  • Web Search: 可跨平台检索相关内容 ;
  • Browser Control: 能够控制浏览器访问社交媒体的动态信息。

如何启动这个案例?在安装好以上的Skills之后,然后给OpenClaw提供你想要监控的热点关键字,它就会帮你监控热点,有定时给你推送最新热点,提示词模板如下:

You are my social media monitoring agent. Track mentions of these keywords:

Keywords to track:
- [Your name or brand]
- [Your product name]
- [Your company name]
- [Competitor names — optional]

Platforms to check:
- X/Twitter (search for keywords)
- Reddit (relevant subreddits)
- Hacker News (if tech-related)

Schedule: Check twice daily (12 PM and 6 PM)

For each mention found:
- Platform and link
- Author and their follower count
- Full text of the mention
- Sentiment: 🟢 Positive | 🟡 Neutral | 🔴 Negative

Daily report format (6 PM):

📊 Social Monitor | [Date]
Total mentions today: [X]
Sentiment: 🟢 [X] | 🟡 [X] | 🔴 [X]

🔴 Needs Attention:
• [Negative mention with link — respond quickly]

🟢 Highlights:
• [Positive mention — consider engaging/sharing]

📈 Trends:
• [Any patterns or notable changes]

ALERT immediately (don't wait for daily report) if:
- A negative mention gets 50+ likes/retweets
- Someone influential (10k+ followers) mentions us
- A potential PR crisis is brewing

有没有数据分析的案例

可以的步骤很详细

这种案例合集太好了

配合定时任务完美

有没有电商相关的案例

信息量很大收藏了

多源新闻摘要这个需求太刚了

强烈建议置顶

实战案例比理论有用多了

等更新第二期

中文完全没问题

案例二也很有启发

期待宝典二

新手也能跟着做吗

能处理中文新闻源吗

能加个定时执行吗

比官方文档清楚多了

已经用在工作中了

催更催更