Ingest Tweet
Extract complete tweet text and metadata from X/Twitter posts
What You Can Do
This skill extracts the complete text of any X/Twitter post (including long-form note tweets that normally get truncated), captures author information and timestamps, and retrieves engagement metrics like likes, retweets, and replies. You can automatically archive tweets to your vault with structured metadata, making it easy to reference and search social content later.
Features
retrieves complete tweet content, including note tweets that exceed standard character limits
extracts author name, handle, creation date, and engagement stats (likes, retweets, replies)
includes full text of quoted tweets in the extraction
identifies attached images and video content in the tweet
converts shortened t.co links to full URLs in extracted text
saves extracted tweets with YAML headers to your knowledge base in structured format
uses FXTwitter API with free public access
automatically switches to oEmbed if primary extraction fails
Example Output
Input: https://x.com/elonmusk/status/1234567890123456789
Output:
---
source-url: https://x.com/elonmusk/status/1234567890123456789
title: "Elon Musk tweet on AI development"
author: "Elon Musk (@elonmusk)"
date-fetched: 2025-01-15
source-type: tweet
---
Just launched the new AI model. This represents a significant leap forward in reasoning capabilities and efficiency.
**Engagement:** 45.2K likes | 12.3K retweets | 3.1K replies
Example 2: If the tweet contains a quoted tweet, the extraction includes:
**Original tweet by @username:**
This is the quoted tweet text that was referenced...
**Retweet with comment by @otheruser:**
Great point here because [full response text]...
What's Included
- `SKILL.md` instruction file with API endpoint documentation:
- URL parsing logic for extracting username and tweet ID from X/Twitter links:
- JSON response parsing templates for FXTwitter API:
- YAML front matter template for vault ingestion:
- Fallback oEmbed integration for failed API requests:
- Engagement metrics capture framework:
Who It's For
- Content researchers — archive and reference social media discussions in research projects
- Marketing analysts — capture competitor tweets and industry insights for analysis
- Social media managers — build personal archives of important posts for team reference
- Knowledge workers — ingest tweets into personal wiki systems for future searching
- Journalists and fact-checkers — preserve tweet text with metadata for verification and sourcing
Best For
- Archiving high-value tweets to a searchable knowledge base
- Capturing long-form tweets and note tweets in full
- Extracting tweet threads with engagement metrics
- Building social media research databases
- Preserving tweet metadata before posts are deleted or edited
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