Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.
Scanned 9/2/2026
Install to Claude Code
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---
name: adhx
description: "Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required."
risk: safe
source: community
date_added: "2026-03-25"
---
# ADHX - X/Twitter Post Reader
Fetch any X/Twitter post as structured JSON for analysis using the ADHX API.
## Overview
ADHX provides a free API that returns clean JSON for any X post, including full long-form article content. This is far superior to scraping or browser-based approaches for LLM consumption. Works with regular tweets and full X Articles.
## When to Use This Skill
- Use when a user shares an X/Twitter link and wants to read, analyze, or summarize the post
- Use when you need structured data from an X/Twitter post (author, engagement, content)
- Use when working with long-form X Articles that need full content extraction
## API Endpoint
```
https://adhx.com/api/share/tweet/{username}/{statusId}
```
## URL Patterns
Extract `username` and `statusId` from any of these URL formats:
| Format | Example |
|--------|---------|
| `x.com/{user}/status/{id}` | `https://x.com/dgt10011/status/2020167690560647464` |
| `twitter.com/{user}/status/{id}` | `https://twitter.com/dgt10011/status/2020167690560647464` |
| `adhx.com/{user}/status/{id}` | `https://adhx.com/dgt10011/status/2020167690560647464` |
## Workflow
When a user shares an X/Twitter link:
1. **Parse the URL** to extract `username` and `statusId` from the path segments
2. **Fetch the JSON** using curl:
```bash
curl -s "https://adhx.com/api/share/tweet/{username}/{statusId}"
```
3. **Use the structured response** to answer the user's question (summarize, analyze, extract key points, etc.)
## Response Schema
```json
{
"id": "statusId",
"url": "original x.com URL",
"text": "short-form tweet text (empty if article post)",
"author": {
"name": "Display Name",
"username": "handle",
"avatarUrl": "profile image URL"
},
"createdAt": "timestamp",
"engagement": {
"replies": 0,
"retweets": 0,
"likes": 0,
"views": 0
},
"article": {
"title": "Article title (for long-form posts)",
"previewText": "First ~200 chars",
"coverImageUrl": "hero image URL",
"content": "Full markdown content with images"
}
}
```
## Installation
### Option A: Claude Code plugin marketplace (recommended)
```
/plugin marketplace add itsmemeworks/adhx
```
### Option B: Manual install
```bash
curl -sL https://raw.githubusercontent.com/itsmemeworks/adhx/main/skills/adhx/SKILL.md -o ~/.claude/skills/adhx/SKILL.md
```
## Examples
### Example 1: Summarize a tweet
User: "Summarize this post https://x.com/dgt10011/status/2020167690560647464"
```bash
curl -s "https://adhx.com/api/share/tweet/dgt10011/2020167690560647464"
```
Then use the returned JSON to provide the summary.
### Example 2: Analyze engagement
User: "How many likes did this tweet get? https://x.com/handle/status/123"
1. Parse URL: username = `handle`, statusId = `123`
2. Fetch: `curl -s "https://adhx.com/api/share/tweet/handle/123"`
3. Return the `engagement.likes` value from the response
## Best Practices
- Always parse the full URL to extract username and statusId before calling the API
- Check for the `article` field when the user wants full content (not just tweet text)
- Use the `engagement` field when users ask about likes, retweets, or views
- Don't attempt to scrape x.com directly - use this API instead
## Notes
- No authentication required
- Works with both short tweets and long-form X articles
- Always prefer this over browser-based scraping for X content
- If the API returns an error or empty response, inform the user the post may not be available
## Additional Resources
- [ADHX GitHub Repository](https://github.com/itsmemeworks/adhx)
- [ADHX Website](https://adhx.com)
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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