Twitter

Pulls Twitter/X data through API calls instead of scraping, which actually works since the platform blocks most web scrapers. Handles the common workflow of extracting tweet IDs from URLs, searching by keywords or hashtags, grabbing user profiles and recent posts, and fetching replies or retweets. Built with hard limits to prevent API abuse—max 3 tool calls per response and stops pagination unless you ask for more. Good for social media monitoring, sentiment analysis on crypto topics, or just grabbing specific tweets when someone drops an X link. Requires a Twitter API key but saves you from dealing with rate limits and authentication yourself.

skills.sh installs: 7.9K
GitHub stars: 32
last updated: Aug 21, 2026

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Install

$ npx -y skills add starchild-ai-agent/official-skills --skill twitter --agent claude-code

Installs into .claude/skills of the current project.

Files

Twitter / X (script-mode)

Read-only access to twitterapi.io endpoints. 13 functions covering tweets, users, followers, replies, threads, quotes, articles, and trends.

All requests go through sc-proxy via core.http_client.proxied_get. The TWITTER_API_KEY env var is auto-injected server-side, no local key needed on the agent machine.

Script Usage

Standard invocation pattern:

python3 - <<'EOF'
import sys, json
sys.path.insert(0, "/data/workspace/skills/twitter")
from exports import twitter_user_info, twitter_user_tweets

profile = twitter_user_info(username="vitalikbuterin")
print(json.dumps(profile, indent=2))

recent = twitter_user_tweets(username="vitalikbuterin")
print(f"got {len(recent.get('tweets', []))} tweets")
EOF

Tweet ID extraction from URL: the last path segment of any x.com/{user}/status/{id} or twitter.com/{user}/status/{id} URL is the tweet ID. Pass it as a string (Python int will lose precision on long IDs).