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Web3 Data Intelligence Skills

Track Focus: The "Brain" of Web3 - On-chain analysis, indexing, and transforming raw blockchain data into actionable insights.

Skills Overview

Skill Description Scripts Chain Support
On-Chain Analysis Blockchain data analysis, transaction tracking, whale monitoring 6 Multi-chain
Security Analysis Smart contract auditing, vulnerability detection, risk assessment 4 EVM

Total: 2 skills, 10 scripts

Track Description

Web3 Data Intelligence focuses on extracting meaning from blockchain data. This includes:

  • On-Chain Analytics: Transaction patterns, wallet behavior, protocol metrics
  • Security Auditing: Smart contract vulnerability detection and risk scoring
  • Data Indexing: Efficient querying and aggregation of blockchain state
  • Insight Generation: Converting raw data into actionable intelligence

Use Cases

  1. Whale Tracking: Monitor large wallet movements and predict market impact
  2. Protocol Health: Analyze TVL, user activity, and protocol metrics
  3. Security Scanning: Detect vulnerabilities before deployment
  4. Market Research: Token distribution, holder analysis, liquidity depth

Challenge Track: Web3 Data Intelligence

Goal: Build skills that transform raw blockchain data into valuable insights.

Submission Ideas:

  • Token holder distribution analyzer
  • DeFi protocol health dashboard
  • MEV detection and analysis
  • Cross-chain flow tracker
  • Smart contract similarity detector

Getting Started

from spoon_ai.agents import SpoonReactSkill

agent = SpoonReactSkill(
    name="data_analyst",
    skill_paths=["./web3-data-intelligence"],
    scripts_enabled=True
)

# Activate on-chain analysis
await agent.activate_skill("onchain-analysis")

# Query: "Analyze the top 10 whale wallets holding USDC"
response = await agent.run("Analyze the top 10 whale wallets holding USDC")

Contributing

See CONTRIBUTING.md for submission guidelines.

PR Requirements:

  • Screenshots showing data analysis output
  • Demo with real blockchain data queries
  • Clear documentation of data sources