OpenClaw Playbook: Build a Twitter AI News Auto-Push Pipeline

OpenClaw has dozens of built-in skills. Today we're focusing on bird — a skill with so many practical use cases it deserves its own article.

What is bird?

bird is essentially a Twitter CLI tool that can read tweets, search, view timelines, check trending topics, and even post tweets.

Combined with OpenClaw's cron tasks and Feishu webhooks, it can power a complete Twitter news automation pipeline.

Note: bird requires Twitter cookie authentication on first run. Just follow the prompts.

Case 1: AI Hot Tweets Daily Report

The most basic and practical setup: receive an AI news digest every morning without manually scrolling Twitter.

Tell OpenClaw:

"Monitor tweets from these accounts, filter for main posts with high engagement (10k+ impressions), new trending content or quality accounts can be added automatically."

Since bird CLI can't fetch follower counts, maintain a curated list manually. An easier approach: use Twitter Lists — create or find an existing AI-focused list, and bird can read the list timeline directly.

Set up deduplication, "no content = no push" rules, then add a cron job — e.g., every morning at 9am, push the digest to a Feishu group via webhook.

Results: Configured several AI news scraping rules. Content quality is consistently high with very little noise.

Case 2: Topic Tracking

Beyond basic news scraping, you can continuously track a trending topic:

"OpenClaw is trending — track this topic for a week, compile daily updates on new discussions and use cases."

Perfect for following a hot event's full lifecycle without daily manual searches.

Case 3: Official Account Monitoring + Auto-Translation

First-hand information lives on Twitter, especially from major AI companies' official accounts. Have bird watch these accounts and auto-translate new posts:

"Monitor @AnthropicAI @OpenAI and translate new tweets to Chinese."

Once configured, you'll be among the first to know about new model releases and feature launches. Recent examples: OpenAI Codex 5.3 release and Claude Code's Opus 4.6 model — all pushed to Feishu within minutes.

Case 4: Content Research & Topic Analysis

Use bird for content creation research. It supports Twitter advanced search syntax:

• min_faves:500 — filter high-engagement tweets
• from:username — specify users
• since:2026-02-01 — set time range

Combine for precise targeting:

"Search AI tweets from the past week with 500+ likes, analyze their topics and hook writing patterns, save to Notion."

For Notion integration, configure the API first:

# Create Integration at https://notion.so/my-integrations
# Copy the API Key

mkdir -p ~/.config/notion
echo "YOUR_API_KEY" > ~/.config/notion/api_key

Then authorize the target page/database for the Integration in Notion.

Feishu's multi-dimensional tables work well too, especially for team collaboration.

Important Notes

• bird can post tweets, but there's account suspension risk — test with an alt account
• Don't scrape too frequently — once per hour is enough, too often triggers Twitter rate limiting
• bird CLI can't fetch follower counts — maintain big-account lists manually or use Twitter Lists
• Add deduplication and "no content = no push" logic to cron tasks to avoid spam

Advanced Plays

For indie hackers doing overseas business, apply the same approach to competitor monitoring: track competitor accounts, user feedback, and PR moves.

Combine with the summarize skill to auto-read and summarize linked articles from trending tweets for higher information density.