claude-for-crypto-research — Claude Skill by juntoku9

by juntoku9 · Claude Skill · ★ 105

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About claude-for-crypto-research

Crypto Research Agent A multi-agent crypto research system that coordinates specialized subagents to research crypto projects, tokens, DeFi protocols, and market trends. Generates comprehensive Markdown reports with airdrop participation guides, market analysis, and Twitter sentiment. Quick Start Then ask: "Research Arbitrum" or "Research OpenMind token" API Keys Required Anthropic API Key: Get from console.anthropic.com Twitter API Key: Get from twitterapi.io for Twitter/X sentiment analysis Research Modes Fast Mode (2-3 minutes) Speed: 2-3 minutes per research Researchers: 1-2 agents spawned Searches: 3-4 essential searches per researcher Twitter: 10 high-quality tweets (50+ likes, verified) Coverage: Essentials (overview, price, sentiment, airdrops) Use case: Quick overview, price

Quick Facts

Stars105
Forks0
LanguagePython
CategoryClaude Skill
Quality Score70.5248729199495/100
Last Updated2026-01-28
Created2026-01-19
Platformsclaude-code, python
Est. Tokens~5k

Compatible Skills

These tools work well together with claude-for-crypto-research for enhanced workflows:

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Frequently Asked Questions

What is claude-for-crypto-research?

claude-for-crypto-research is This is a simple implementation for crypto research agent inspired by Claude Skills repo. It is categorized as a Claude Skill with 105 GitHub stars.

What programming language is claude-for-crypto-research written in?

claude-for-crypto-research is primarily written in Python.

How do I install or use claude-for-crypto-research?

You can find installation instructions and usage details in the claude-for-crypto-research GitHub repository at github.com/juntoku9/claude-for-crypto-research. The project has 105 stars and 0 forks, indicating an active community.

What are the best alternatives to claude-for-crypto-research?

The top alternatives to claude-for-crypto-research on Agent Skills Hub include life-sciences, claude-ai-mcp, skyll. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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