x-readRender and summarize a public X (Twitter) link when you need to read the tweet/article content without logging in.
Install via ClawdBot CLI:
clawdbot install tylordius/x-readUse x-read whenever you need to capture the text, media links, and basic metadata from a public X/Twitter permalink without using the API, creating an account, or burning Brave search credits. It works best for thread permalink URLs (https://x.com/) and articles posted on X that surface their content on the same page.
url (required): The exact permalink you want to render. Include the full https://x.com/... path so the Puppeteer browser can navigate directly.article[data-testid="tweet"] elements, captures the main thread (tweet + up to three replies), and extracts any linked card or media attachments. markdown with ALT text when available, and the main article body is appended beneath the primary tweet.## Tweet Thread Summary
Source: <url>
### **MAIN TWEET** by Display Name (@handle)
*2026-02-21T18:24:00Z*
Tweet text …
**Linked Article:** [Title](card URL)
**Media:**
- 
- 
---
Replied tweets follow the same pattern with the Reply heading. Media URLs retain the name=large parameter for better quality.
article.content; the script appends that text to the main tweet so you still get the full written piece.index.js script if X changes its DOM selectors (it relies on data-testid attributes such as tweet, tweetText, User-Name, and card.wrapper).openclaw use x-read read_tweet --url before publishing to confirm the output is what you expect.Generated Mar 1, 2026
Brands can use this skill to monitor public mentions and threads on X without API access, capturing tweet content, media, and replies for sentiment analysis or competitive intelligence. It helps track customer feedback and viral trends in real-time, especially useful for marketing teams needing quick insights without logging in.
Journalists can render and summarize X threads or linked articles to gather information for news stories, verifying facts and extracting quotes without relying on screenshots. This skill enables efficient content curation from public sources, saving time in research and ensuring accurate reporting from social media platforms.
Researchers can analyze public X threads to study communication patterns, misinformation, or social movements by capturing text and metadata for qualitative analysis. It provides a tool for data collection without API limitations, supporting studies in sociology, political science, or digital humanities.
Companies can use this skill to monitor public customer complaints or inquiries on X, summarizing threads to understand issues and respond effectively. It helps support teams stay informed about user experiences without needing to access X accounts, improving response times and service quality.
Content creators can summarize X threads or articles for inspiration, repurposing insights into blog posts, videos, or newsletters. This skill aids in gathering source material quickly, ensuring creators stay updated on trends and can produce relevant content without manual browsing.
Offer a subscription-based platform where businesses pay monthly for automated X thread summarization and analytics, integrating this skill to provide insights on brand mentions, trends, and competitor activity. Revenue is generated through tiered pricing based on usage volume and advanced features like sentiment analysis.
Provide a free version of this skill with basic summarization features, then upsell premium plans for higher limits, faster processing, or API integrations. This model attracts casual users and converts them to paying customers for enhanced functionality, such as batch processing or historical data access.
License this skill as a white-label tool for marketing agencies or media companies to embed in their own platforms, charging a one-time or recurring fee per client. It allows agencies to offer social media monitoring as part of their services without developing the technology in-house.
💬 Integration Tip
Integrate this skill into chatbots or dashboards by calling it via API with the URL parameter, ensuring error handling for login walls and optimizing for latency due to browser-based rendering.
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