#OpenClaw workflow for monitoring X (Twitter) trends and generating summaries?

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lapis bloom
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Hi everyone,

I’m building an OpenClaw workflow for content operations and I’m wondering if anyone in the community has done something similar.

My goal is to build an AI assistant that can:

  1. Monitor trending topics in the last 24 hours
  2. Preferably from reliable sources such as:
    • X (Twitter) posts from specific accounts
    • Tech / AI news websites
    • RSS feeds
  3. Automatically collect the posts or links
  4. Summarize the information with AI
  5. Generate a daily report (Markdown / Excel / Telegram message)

Example workflow idea:

source monitoring → collect posts → AI summarize → generate report

Ideally I would like to track topics like:

  • AI
  • tech industry
  • major global news

Does anyone have an existing OpenClaw workflow or skill setup for something like this?

For example:

  • X monitoring
  • RSS aggregation
  • automated summarization

Any examples, repos, or showcase setups would be very helpful.

Thanks!

hollow voidBOT
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granite iceBOT
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You can build this pretty cleanly with (a) cron for “daily run”, (b) web_fetch/web_search for sources, and (c) hooks/webhooks if you want external collectors to push items in. There isn’t (yet) a single “official” turnkey workflow for “X + RSS + summarization → daily brief”, but the building blocks are all there.

A practical OpenClaw architecture

1) Ingest (links/items)

  • RSS + news sites: easiest path is a curated list of RSS feeds + a couple of “index pages” you fetch daily.
  • X (Twitter): reliably monitoring specific accounts usually means:
    • Official X API (paid/managed), or
    • an external service (n8n/Zapier/IFTTT/rss.app/etc.) that turns “new tweet from these accounts” into RSS or a webhook.
    • Browser scraping is possible but fragile and ToS-sensitive, so I wouldn’t build an ops pipeline on it.

2) Normalize

  • Convert everything into a simple list like: {source, title, url, publishedAt, excerpt} (dedupe by URL).
  • If you can only fetch HTML, use web_fetch to pull the readable content, then have the model extract the fields.

3) Summarize + synthesize

  • First pass: per-link bullets (what happened, why it matters).
  • Second pass: “daily report” grouped by themes (AI, industry, global news), plus top links.
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4) Deliver

  • Cron can announce directly to Telegram/Discord/etc, or you can output Markdown + CSV for Excel.

Scheduling: use Cron (isolated job + announce)

Docs: https://docs.openclaw.ai/automation/cron-jobs
Cron is meant for exactly “run this every morning and post the result”.

Key idea: create an isolated cron job that runs a dedicated agent turn and then delivers the output to your target chat.

If you want “collect continuously”: use Webhooks/Hooks for ingestion

Docs: https://docs.openclaw.ai/automation/webhook
This is the clean way to have external systems (RSS collectors, X monitors) push items into OpenClaw:

  • Your collector posts to POST /hooks/agent (or a mapped hook),
  • OpenClaw runs an isolated turn to summarize/store,
  • Then your daily cron just compiles the last 24h.

Excel output