How does the Crypto Research skill gather data?

The skill utilizes specialized AI agents that use WebSearch and WebFetch tools to scrape real-time market data, news articles, and price feeds from across the web.

Where are the research results stored?

Results are automatically organized into timestamped folders within an 'outputs' directory, categorized by market, news, macro, and analysis types for easy reference.

Can I analyze specific coins like Solana or Ethereum?

Yes, you can specify ticker symbols (e.g., SOL, ETH, BTC) to trigger coin-specific deep dives using the Coin Analyzer agent within the skill.

What is the difference between Lightweight and Comprehensive modes?

Lightweight mode uses 4 fast Haiku-based agents for quick summaries (30-60s), while Comprehensive mode uses 12 agents across Haiku, Sonnet, and Opus models for deeper insights.

Crypto Research & Market Analysis

Name: Crypto Research & Market Analysis
Author: Microck

byMicrock

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Analytics & Monitoring

Conducts deep cryptocurrency market research using specialized multi-agent AI systems to analyze price trends, news sentiment, and macro correlations.

About

This skill empowers users with a sophisticated multi-agent research framework designed specifically for the cryptocurrency ecosystem. It orchestrates up to 12 specialized AI agents in parallel—including market scanners, sentiment analyzers, and technical indicator experts—to provide comprehensive insights into specific digital assets or overall market conditions. Whether you need a quick price check or a deep-dive investment analysis, this tool automates the gathering and synthesis of blockchain data, news, and traditional market correlations into organized, timestamped reports, saving hours of manual research time.

Key Features

81 GitHub stars
Sentiment analysis from aggregated news feeds and social trends
Automated reporting with timestamped directory organization
Multi-agent orchestration with up to 12 specialized research agents
Macro correlation scanning between crypto and traditional markets
Real-time price, volume, and top mover tracking across markets

Use Cases

Deep-dive fundamental and technical analysis of specific tokens like BTC, ETH, or SOL
Identifying emerging investment opportunities based on multi-perspective data synthesis
Daily cryptocurrency market sentiment and trend monitoring for active trading

About

Key Features

81 GitHub stars
Sentiment analysis from aggregated news feeds and social trends
Automated reporting with timestamped directory organization
Multi-agent orchestration with up to 12 specialized research agents
Macro correlation scanning between crypto and traditional markets
Real-time price, volume, and top mover tracking across markets

Use Cases

Deep-dive fundamental and technical analysis of specific tokens like BTC, ETH, or SOL
Identifying emerging investment opportunities based on multi-perspective data synthesis
Daily cryptocurrency market sentiment and trend monitoring for active trading