Does it save the research results?

Yes, all research results are automatically saved in timestamped directories within an 'outputs/' folder for easy reference and persistence.

Which cryptocurrencies can this skill analyze?

The skill can analyze any cryptocurrency by ticker symbol, including Bitcoin (BTC), Ethereum (ETH), Solana (SOL), and other altcoins.

Where does the skill get its data?

It uses integrated web tools like WebSearch and WebFetch to gather real-time price data, news developments, and technical indicators from across the web.

How long does a research task take?

The 'Lightweight' mode takes approximately 30-60 seconds, while the 'Comprehensive' mode with 12 agents takes between 2-5 minutes for a deep-dive report.

What is the Crypto Research skill for Claude Code?

It is a specialized capability that enables Claude to perform multi-perspective cryptocurrency market analysis using specialized AI agents that run in parallel.

Crypto Market Research Agent

Name: Crypto Market Research Agent
Author: Activer007

byActiver007

Data Science & ML

Performs comprehensive cryptocurrency market research and analysis using a multi-agent AI system.

About

This skill orchestrates a sophisticated multi-agent system to provide deep insights into the cryptocurrency market, covering everything from real-time price trends and technical indicators to macro correlations and news sentiment. By leveraging up to 12 specialized agents—including market scanners, coin analyzers, and investment play identifiers—it delivers high-quality reports organized into structured directories. It is an essential tool for traders and developers needing to evaluate digital assets like Bitcoin, Ethereum, and Solana while maintaining a high-level view of global market conditions and emerging opportunities.

Key Features

0 GitHub stars
Deep-dive fundamental analysis for specific tickers like BTC, ETH, and SOL
Real-time technical analysis, price tracking, and market mover identification
Macro correlation scanning to link crypto trends with traditional financial markets
Structured, timestamped output organization for easy data retrieval and review
Multi-agent orchestration with up to 12 specialized AI agents running in parallel

Use Cases

Scanning daily market news and sentiment to identify emerging investment plays
Conducting automated fundamental and technical analysis for specific crypto assets
Generating comprehensive research reports for background monitoring of market volatility

About

Key Features

0 GitHub stars
Deep-dive fundamental analysis for specific tickers like BTC, ETH, and SOL
Real-time technical analysis, price tracking, and market mover identification
Macro correlation scanning to link crypto trends with traditional financial markets
Structured, timestamped output organization for easy data retrieval and review
Multi-agent orchestration with up to 12 specialized AI agents running in parallel

Use Cases

Scanning daily market news and sentiment to identify emerging investment plays
Conducting automated fundamental and technical analysis for specific crypto assets
Generating comprehensive research reports for background monitoring of market volatility