analyze-crypto

Automate cryptocurrency analysis across five dimensions and generate HTML reports.

Updated Mar 13, 2026
One-click install
npx skills add https://github.com/gmh5225/k-skills --skill analyze-crypto-gmh5225
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze-crypto
Source: https://github.com/gmh5225/k-skills/tree/main/skills/finance/analyze-crypto
Command: npx skills add https://github.com/gmh5225/k-skills --skill analyze-crypto-gmh5225

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually analyzing cryptocurrencies requires pulling data from multiple disparate sources including price trackers, news sites, sector reports, and on-chain analytics platforms, which is time-consuming and often leads to missed cross-dimensional signals. This Skill automates the entire end-to-end analysis workflow to deliver comprehensive, cross-referenced insights in minutes.

Core Features & Use Cases

  • Parallel 5-Dimension Data Collection: Simultaneously gathers price and technical indicators, recent news and community sentiment, sector competitive landscape, macro market environment, and project fundamental data via subagents.
  • Cross-Dimensional Analysis: Identifies consistent and contradictory signals across data sources, attributes price changes to project, sector, and market-level factors, and provides short and medium-term trend forecasts with risk assessments.
  • Use Case: When a user asks to analyze Solana (SOL), the Skill automatically collects all relevant data, cross-references it, and outputs a structured HTML report with 24-hour price highlights, 7-day trends, and cited sources, no manual data gathering required.

Quick Start

Use the analyze-crypto skill to generate a full analysis report for Bitcoin (BTC) including price trends, market sentiment, and sector comparison.

Frequently Asked Questions about analyze-crypto

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

FAQPage Schema
How do I automate cryptocurrency analysis across multiple data sources?

Automating cryptocurrency analysis across multiple data sources is done by parallelizing data collection across five dimensions: price and technical indicators, news sentiment, sector comparison, macro environment, and project fundamentals. This approach cross-references disparate signals to identify price change drivers and generate trend forecasts.

What is included in a comprehensive crypto analysis report?

A comprehensive crypto analysis report includes 24-hour price highlights, 7-day trend summaries, on-chain metrics, cross-dimensional signal consistency checks, and cited data sources. It attributes price movements to project, sector, and market-level factors with short and medium-term risk assessments.

How do I generate an HTML report for token market sentiment and technical indicators?

Generating an HTML report for token market sentiment and technical indicators requires requesting an analysis of a specific cryptocurrency token. The system automatically outputs a structured, browser-compatible HTML document integrating technical indicators, community sentiment, and on-chain metrics.

Can I analyze on-chain metrics and macro market environment for any major cryptocurrency?

Yes, you can analyze on-chain metrics and macro market environments for any major cryptocurrency token. The system gathers fundamental project data and macroeconomic factors simultaneously to evaluate cross-dimensional signal consistency.

Does parallel data collection work for cross-referencing sector comparison and project fundamentals?

Parallel data collection works effectively for cross-referencing sector comparison and project fundamentals. It simultaneously gathers competitive landscape data and fundamental project metrics to attribute price changes accurately across project, sector, and market-level variables.

What are the limitations of automated crypto analysis for short to medium-term trend forecasts?

Automated crypto analysis for short to medium-term trend forecasts is limited by the availability and accuracy of real-time on-chain metrics, news sentiment, and macro market data. It identifies signal consistency but cannot guarantee future market movements due to inherent market volatility.