gate-info-coinanalysis

The most frequently used Skill. The user inputs a coin name, the system calls 5 MCP Tools in parallel to fetch fundamentals + market data + technicals + news + social sentiment, then the LLM aggregates the results into a structured analysis report.

Trigger Scenarios: User mentions a specific coin + keywords like analyze, how is, worth, look at, fundamentals, market analysis.

Routing Rules

Execution Workflow

Step 1: Intent Recognition & Parameter Extraction

Extract from user input:

• symbol: Coin ticker (e.g., BTC, SOL, ETH)
• If the user mentions a project name (e.g., Solana, Uniswap), map it to the ticker symbol

If the coin cannot be identified, ask the user to clarify the coin name — do not guess.

Step 2: Call 5 MCP Tools in Parallel

All 5 Tools are called in parallel with no dependencies. If no news MCP is configured, call only the first 3 Gate-info tools; mark sentiment sections as "No data".

Step 3: LLM Aggregation

Pass all 5 Tool responses to the LLM to generate a structured analysis report.

Step 4: Output Structured Report

Report Template

## {symbol} Comprehensive Analysis

### 1. Fundamentals Overview

| Metric | Value |
|--------|-------|
| Project Name | {project_name} |
| Sector | {category} |
| Market Cap Rank | #{market_cap_rank} |
| Circulating Market Cap | ${market_cap} |
| Fully Diluted Valuation | ${fdv} |
| Total Funding Raised | ${total_funding} |
| Key Investors | {investors} |

{Brief analysis of tokenomics and unlock schedule; flag any upcoming large unlocks}

### 2. Market Data & Technical Analysis

**Current Market Data**

| Metric | Value | Status |
|--------|-------|--------|
| Price | ${price} | — |
| 24h Change | {change_24h}% | {Up/Down/Sideways} |
| 7d Change | {change_7d}% | {Up/Down/Sideways} |
| 24h Volume | ${volume_24h} | {High/Low/Normal} |
| RSI(14) | {rsi} | {Overbought/Oversold/Neutral} |
| Fear & Greed Index | {fear_greed} | {Extreme Fear/Fear/Neutral/Greed/Extreme Greed} |

**Technical Signals**

{Based on info_markettrend_get_technical_analysis multi-timeframe signals, give a Bullish/Bearish/Neutral overall assessment}

- Short-term (1h/4h): {signal}
- Medium-term (1d): {signal}
- Support: ${support}
- Resistance: ${resistance}

### 3. News & Market Sentiment

**Recent Key News**

1. [{title}]({source}) — {summary} ({time})
2. ...

**Social Sentiment**

- Twitter Discussion Volume: {level}
- KOL Sentiment Bias: {Bullish/Bearish/Neutral}
- Sentiment Score: {sentiment_score}

### 4. Overall Assessment

{LLM generates a 3-5 sentence assessment covering:}
- Current market phase for this asset
- Primary drivers (fundamentals / technicals / sentiment)
- Key risks to monitor

### ⚠️ Risk Warnings

{Data-driven risk alerts, e.g.:}
- RSI overbought — elevated short-term pullback risk
- Upcoming large token unlock
- High funding rate — leveraged long crowding
- Low liquidity (if applicable)

> The above analysis is data-driven and does not constitute investment advice. Please make decisions based on your own risk tolerance.

Decision Logic

Error Handling

Cross-Skill Routing

Safety Rules

1. No investment advice: The overall assessment is data-driven analysis and must include a "not investment advice" disclaimer
2. No price predictions: Do not output specific target prices or up/down predictions
3. Data transparency: Label data source and update time for each dimension
4. Flag missing data: When any dimension has no data, explicitly inform the user — never fabricate data