How many cryptocurrencies can this skill analyze?

It can analyze any cryptocurrency by ticker symbol (e.g., BTC, ETH, SOL) using real-time web search and data fetching capabilities.

Where are the research reports saved?

All analysis results are organized into timestamped folders within an 'outputs' directory for easy reference and persistence.

What is the difference between Lightweight and Comprehensive modes?

Lightweight mode uses 4 fast agents for quick summaries (30-60s), while Comprehensive mode uses 12 agents across different model types for deep research (2-5m).

Does this skill provide financial advice?

No, this tool provides automated data gathering and analysis based on available market information; users should always perform their own due diligence.

Crypto Market Research Agent

Name: Crypto Market Research Agent
Author: Microck

byMicrock

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Data Science & ML

Conducts multi-perspective cryptocurrency research and market analysis using a specialized swarm of AI agents.

About

The Crypto Research skill transforms Claude into a sophisticated market analyst by orchestrating up to 12 specialized agents to evaluate digital assets in parallel. By combining technical indicators, sentiment analysis, macro correlations, and deep-dive coin evaluations, it provides comprehensive reports on assets like Bitcoin, Ethereum, and Solana. Whether you need a 30-second market pulse or a 5-minute deep-dive investment report, this skill automates the complex data gathering and synthesis required for professional-grade cryptocurrency research, outputting structured data into organized, timestamped directories.

Key Features

Technical indicator and macro correlation scanning
Real-time market sentiment and news analysis
Multi-agent orchestration (up to 12 specialized agents)
Structured, timestamped directory reporting for data persistence
81 GitHub stars
Scalable research modes from Lightweight to Comprehensive

Use Cases

Deep-dive technical and fundamental analysis of specific tickers like BTC or ETH
Monitoring daily market movers and sentiment shifts across the crypto ecosystem
Evaluating macro-economic correlations between traditional markets and digital assets

About

Key Features

Technical indicator and macro correlation scanning
Real-time market sentiment and news analysis
Multi-agent orchestration (up to 12 specialized agents)
Structured, timestamped directory reporting for data persistence
81 GitHub stars
Scalable research modes from Lightweight to Comprehensive

Use Cases

Deep-dive technical and fundamental analysis of specific tickers like BTC or ETH
Monitoring daily market movers and sentiment shifts across the crypto ecosystem
Evaluating macro-economic correlations between traditional markets and digital assets