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

User Intent	Keywords	Action
Single coin comprehensive analysis	"analyze SOL" "how is BTC" "is ETH worth buying"	Execute this Skill's full workflow
Price only	"what's BTC price" "ETH current price"	Do NOT use this Skill — call `info_marketsnapshot_get_market_snapshot` directly
Multi-coin comparison	"compare BTC and ETH"	Route to `gate-info-coincompare`
News only	"any SOL news lately"	Route to `gate-news-briefing`
Technicals only	"BTC technical analysis" "what's the RSI"	Route to `gate-info-trendanalysis`

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

Step	MCP Tool	Parameters	Retrieved Data	Parallel
1a	`info_coin_get_coin_info`	`query={symbol}, scope="full"`	Fundamentals: project info, team, funding, sector, tokenomics, unlock schedule	Yes
1b	`info_marketsnapshot_get_market_snapshot`	`symbol={symbol}, timeframe="1d", source="spot"`	Market data: price, 24h/7d change, market cap, OI, funding rate, Fear & Greed Index	Yes
1c	`info_markettrend_get_technical_analysis`	`symbol={symbol}`	Technicals: multi-timeframe signals (RSI zones, MACD cross, MA alignment, support/resistance)	Yes
1d	`news_feed_search_news`	`coin={symbol}, limit=5, sort_by="importance"`	News: top 5 most important recent articles	Yes
1e	`news_feed_get_social_sentiment`	`coin={symbol}`	Social sentiment: Twitter KOL discussion volume, sentiment bias	Yes

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

Condition	Assessment
RSI > 70	Flag "Overbought — elevated short-term pullback risk"
RSI < 30	Flag "Oversold — potential bounce"
24h volume > 7d avg volume x 2	Flag "Significant volume surge"
24h volume < 7d avg volume x 0.5	Flag "Notable volume decline"
funding_rate > 0.05%	Flag "High funding rate — long crowding"
funding_rate < -0.05%	Flag "Negative funding rate — short crowding"
fear_greed > 75	Flag "Extreme Greed — exercise caution"
fear_greed < 25	Flag "Extreme Fear — potential opportunity"
Token unlock in next 30 days > 5% of circulating supply	Flag "Large upcoming token unlock — potential sell pressure"
Any Tool returns empty/error	Skip that section; note "Data unavailable" in the report

Error Handling

Error Type	Handling
Coin does not exist	Prompt user to verify the coin name; suggest using `info_coin_search_coins`
A single Tool times out	Skip that dimension; note "This dimension is temporarily unavailable"
All Tools fail	Return error message; suggest the user try again later
User inputs multiple coins	Route to `gate-info-coincompare`
User inputs an address instead of a coin	Route to `gate-info-addresstracker`

Cross-Skill Routing

User Follow-up Intent	Route To
"Give me a technical analysis"	`gate-info-trendanalysis`
"Any recent news?"	`gate-news-briefing`
"What about on-chain data?"	`gate-info-tokenonchain`
"Is this coin safe?"	`gate-info-riskcheck`
"Compare XX and YY"	`gate-info-coincompare`
"Why is it pumping/dumping?"	`gate-news-eventexplain`

Safety Rules

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