crypto-research

これはレビュー時に保存された抜粋です。完全で最新の内容は外部ソースを確認してください。

---
name: crypto-research
description: Comprehensive cryptocurrency market research and analysis using specialized AI agents. Analyzes market data, price trends, news sentiment, technical indicators, macro correlations, and investment opportunities. Use when researching cryptocurrencies, analyzing crypto markets, evaluating digital assets, or investigating blockchain projects like Bitcoin, Ethereum, Solana, etc.
allowed-tools:
  - Task
  - Bash
  - Write
  - WebSearch
  - WebFetch
---

# Cryptocurrency Research Skill

This skill provides comprehensive cryptocurrency research by orchestrating multiple specialized AI agents that analyze different aspects of the crypto market in parallel.

## When to Use

Invoke this skill when the user:
- Mentions cryptocurrency analysis or research
- Names specific cryptocurrencies (BTC, ETH, SOL, etc.)
- Asks about crypto market conditions
- Wants investment analysis or opportunities
- Needs technical or fundamental analysis of crypto assets
- Requests macro correlation analysis
- Asks about crypto news or sentiment

## Capabilities

### Multi-Agent Research System
Coordinates 4-12 specialized agents running in parallel:
- **Market Agent**: Overall market conditions and trends
- **Coin Analyzer**: Deep dive on specific cryptocurrencies
- **Macro Correlation Scanner**: Relationships with traditional markets
- **Investment Plays Agent**: Opportunity identification
- **News Scanner**: Recent developments and sentiment
- **Price Check**: Real-time price and volume data
- **Movers Agent**: Biggest gainers and losers

### Research Modes

1. **Comprehensive Mode**: All agents (12 total) across 3 model types (haiku, sonnet, opus)
2. **Lightweight Mode**: Haiku agents only (4 agents) for quick analysis
3. **Output-Only Mode**: Silent execution with file output only

### Output Organization

Research results are saved in timestamped directories:
```
outputs/
└── YYYY-MM-DD_HH-MM-SS/
    ├── crypto_market/
    ├── crypto_analysis/
    ├── crypto_macro/
    ├── crypto_plays/
    └── crypto_news/
```

## How It Works

### 1. Mode Selection

Based on user request or context:
- **Quick question**: Use lightweight mode (4 haiku agents)
- **Comprehensive research**: Use full mode (12 agents)
- **Background analysis**: Use output-only mode

### 2. Agent Orchestration

1. Run `date` command to get timestamp
2. Create output directory structure using `scripts/setup-output-dir.sh`
3. Launch agents in parallel using Task tool
4. Each agent writes results to designated file
5. Present summary with file locations

### 3. Agent Coordination

Agents are defined in `agent-prompts/` directory:
- `coin-analyzer.md` - Receives ticker symbol parameter
- `market-agent.md` - General market analysis
- `macro-correlation-scanner.md` - Correlation analysis
- `investment-plays.md` - Investment opportunities
- `news-scanner.md` - News aggregation
- `price-check.md` - Current pricing data
- `movers.md` - Top movers analysis

Each agent prompt includes:
- Purpose and specialization
- Data gathering instructions (5+ tools)
- Output format requirements
- Timestamp and timezone handling

## Workflows

### Quick Research (Default)
See `workflows/lightweight.md` for implementation details.

**When**: User asks quick question about crypto
**Agents**: 4 haiku agents
**Duration**: ~30-60 seconds

### Comprehensive Research
See `workflows/comprehensive.md` for implementation details.

**When**: User needs deep analysis or multiple perspectives
**Agents**: 12 agents (haiku, sonnet, opus variations)
**Duration**: ~2-5 minutes

### Silent Research
See `workflows/output-only.md` for implementation details.

**When**: Background research or automated workflows
**Agents**: Configurable
**Output**: Files only, no interactive output

## Usage Examples

**Example 1: Specific Coin Analysis**
```
User: "What's happening with Bitcoin?"
Action: Launch lightweight mode with BTC as ticker
Agents: 4 haiku agents analyzing Bitcoin specifically
Output: Quick