claude-ai-trading-skill

Aggregate social media data to analyze cryptocurrency sentiment and trends.

13|5|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/elfa-ai/claude-ai-trading-skill --skill claude-ai-trading-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-ai-trading-skill
Source: https://github.com/elfa-ai/claude-ai-trading-skill/tree/main
Command: npx skills add https://github.com/elfa-ai/claude-ai-trading-skill --skill claude-ai-trading-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @x402/fetch, viem, elliptic, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Users need quick access to live social media data and market analysis for cryptocurrencies, enabling informed trading decisions.

Core Features & Use Cases

  • Social Data Monitoring: Track trending tokens, narratives, and mentions on Twitter/X and Telegram to understand market sentiment.
  • Market Analysis & Reports: Generate AI-powered summaries, token breakdowns, and account reviews for strategic insights.
  • Code & Integration Support: Provide ready-to-use code snippets in TypeScript, Python, or curl for developers inserting Elfa API into applications.
  • Use Case: A trader wants to identify trending assets and surface current narratives, then implement automated alerts or dashboards based on these insights.

Quick Start

Ask Claude to show the top trending tokens or generate an API call example for fetching social mentions.

Frequently Asked Questions about claude-ai-trading-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track trending crypto tokens and narratives on social media?

Yes, you can monitor social media mentions for specific crypto assets on Twitter/X and Telegram. The skill aggregates this social data and uses AI summaries to deliver actionable market intelligence and sentiment analysis for your targeted tokens.

How do I integrate a crypto sentiment analysis API into my application?

You integrate crypto sentiment APIs using provided code snippets in TypeScript, Python, or curl. These examples show developers how to call the API to fetch real-time social mentions and handle structured responses within their applications.

Do I need an x402 wallet or API key to fetch real-time crypto social data?

Yes, you need an API key or an x402 wallet to authenticate requests and fetch real-time crypto social data. The skill fulfills these technical payment requirements to authorize access to structured API responses.

Can I generate automated market analysis reports for crypto assets?

Yes, you can generate automated market analysis reports for crypto assets. The skill processes aggregated social data to produce AI-powered summaries, token breakdowns, and account reviews for strategic trading insights.

What are the limitations of using AI summaries for crypto market analysis?

AI summaries for crypto market analysis rely entirely on real-time social data aggregated from Twitter/X and Telegram. Their accuracy depends on API response handling and the underlying social sentiment tracking mechanisms.

Does viem or elliptic support web3 social data integration?

Viem and elliptic support web3 integration by handling technical dependencies for API calls and x402 wallet payments. They enable developers to securely fetch crypto social data and manage authentication within web3 applications.