6551Team

6551Team / openskills-weixin

Public

Public repository for Agent Skills Weixin Version

18
0
89% credibility
Found Mar 26, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This repository contains MCP servers enabling AI assistants to retrieve cryptocurrency news from 72+ sources with AI analysis and Twitter/X data including profiles, tweets, and events via the 6551.io service.

How It Works

1
🔍 Discover Super Skills

You hear about handy skills that let your AI helper fetch fresh crypto news and Twitter buzz instantly.

2
📝 Get Your Access Pass

Visit a simple website to grab a free pass that unlocks all the real-time info for your AI.

3
🔗 Link Skills to Your AI

With one easy step, connect these skills to your favorite AI chat tool like Claude or Cursor.

4
📰 Ask for Crypto Updates

Chat with your AI saying 'latest Bitcoin news' and watch it pull in stories from top sources with smart ratings.

5
🐦 Check Twitter Vibes

Say 'what's Elon tweeting about crypto' and get profiles, posts, followers, all analyzed on the spot.

6
📈 Spot Trading Signals

Your AI mixes news signals, social trends, and AI tips to suggest smart buys or sells.

🎉 Trade Smarter Every Day

Now your AI is your personal crypto scout, keeping you ahead with live insights and confident decisions.

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Star Growth

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AI-Generated Review

What is openskills-weixin?

This public GitHub repository delivers two Python-based MCP servers for AI agents: one aggregates crypto news from 72+ sources like Bloomberg and CoinDesk with AI impact scores, trading signals, and real-time WebSocket updates; the other pulls Twitter/X data including user profiles, tweet searches, KOL followers, and deleted tweets. Developers grab an API token from 6551.io, then install via `npx skills add 6551Team/openskills-weixin` or `claude mcp add` for seamless integration with tools like Claude Code, Cursor, and Continue.dev. It solves the pain of wiring AI assistants to fresh crypto intel and social sentiment without scraping or paid APIs.

Why is it gaining traction?

Unlike basic news APIs, it bundles AI-rated signals (long/short/neutral) across news, listings, on-chain whales, and market anomalies, plus Twitter follower events and advanced searches—perfect for cross-referencing hype with reality. One-command installs via public GitHub actions and MCP protocol hook devs fast, skipping custom servers. Real-time subscriptions keep agents responsive for live trading workflows.

Who should use this?

Crypto traders scripting AI-driven signals in Claude or Cursor; bot builders monitoring KOL tweets and whale alerts; quant devs analyzing sentiment from Twitter searches tied to news spikes. Skip if you're not in crypto or need non-MCP integrations.

Verdict

Solid early pick for agent-based crypto workflows—installs cleanly, docs cover all clients, MIT license. With 18 stars and 0.9% credibility score, it's immature but functional; test quota limits at 6551.io before production. (187 words)

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