Crypto Trading skills for AI agents
14 practitioner-grade crypto trading skills, each a focused Markdown document your agent loads into context on demand. Search them from Claude Desktop, Cursor or any MCP client, or pull one with the CLI.
All 14 skills
- Airdrop Farming
Guide users through legitimate airdrop farming strategies, covering protocol identification, genuine on-chain engagement, multi-chain positioning, and eligibility tracking to maximize token distribution rewards.
62 lines - Algorithmic Execution
Trigger when users ask about algorithmic order execution, TWAP, VWAP, smart order routing, slippage minimization, or CEX API integration for trade execution. Covers implementation shortfall, iceberg orders, position sizing with Kelly criterion, and latency optimization across major crypto exchanges.
207 lines - Derivatives Trading
Trigger when users ask about crypto derivatives, perpetual futures, options, funding rates, basis trading, Greeks management, or volatility surfaces. Covers perpetual mechanics, Black-Scholes adaptations for crypto, delta-neutral strategies, structured products, and DeFi derivatives protocols like GMX and Synthetix.
202 lines - High Frequency Trading
Trigger when users ask about high-frequency crypto trading, low-latency systems, orderbook reconstruction, market microstructure, colocation, or performance-critical trading infrastructure. Covers exchange API optimization, tick data processing, C++/Rust for critical paths, and the unique microstructure of crypto markets.
239 lines - Launchpad Strategies
Trigger when users ask about participating in token launchpads, IDOs, IEOs, or building bots for competitive token sales. This skill covers smart contract interaction, gas optimization, transaction management, and event monitoring for securing allocations in high-demand launches.
253 lines - Market Making
Trigger when users ask about market making, liquidity provision, bid-ask spread management, or inventory risk in crypto markets. Covers the Avellaneda-Stoikov model, CEX and DEX market making, concentrated liquidity, JIT liquidity, fee optimization, hedging strategies, and PnL attribution for market makers.
183 lines - MEV Strategies
Trigger when users ask about MEV (Maximal Extractable Value), Flashbots, arbitrage bots, liquidation bots, sandwich attacks, JIT liquidity, or searcher-builder-proposer dynamics. Covers DEX-DEX and DEX-CEX arbitrage, bundle construction, private mempool strategies, MEV-Share, and the economics of MEV extraction.
248 lines - On Chain Analytics
Trigger when users ask about on-chain data analysis, whale tracking, exchange flow monitoring, Dune Analytics queries, Nansen labels, or blockchain analytics for trading signals. Covers token holder distribution, DeFi TVL tracking, smart money following, network health metrics, and building custom analytics pipelines.
226 lines - Portfolio Construction
Trigger when users ask about crypto portfolio construction, asset allocation, rebalancing strategies, diversification, or factor investing in crypto. Covers modern portfolio theory adapted for crypto, sector allocation, correlation instability, index construction, and regime-aware portfolio management.
224 lines - Quant Trading Strategies
Trigger when users ask about quantitative crypto trading, alpha generation, backtesting frameworks, statistical arbitrage, or systematic strategy design. Covers mean reversion, momentum, pairs trading, on-chain alpha signals, and rigorous walk-forward optimization with overfitting prevention.
171 lines - Risk Management Crypto
Trigger when users ask about risk management for crypto trading, portfolio VaR, drawdown controls, position sizing, liquidation risk, or building risk dashboards. Covers parametric/historical/Monte Carlo VaR, tail risk measures, correlation regime detection, counterparty risk, kill switches, and real-time risk monitoring systems.
212 lines - Solana Trading Bots
Trigger when building low-latency, on-chain trading bots, market makers, or arbitrageurs on Solana. Covers direct DEX interaction, Anchor program integration, transaction optimization, and real-time data streaming for Solana's high-throughput environment.
255 lines - Telegram Trading Bots
Trigger when users ask about integrating crypto trading bots with Telegram, real-time alerts, command interfaces, or secure user interaction for trading. Covers bot setup, message handling, keyboard interfaces, secure communication patterns, and basic trading command integration.
285 lines - Trading Bot Architecture
Trigger when users ask about building production crypto trading systems, trading bot architecture, exchange API integration, CCXT, real-time data pipelines, or trading infrastructure. Covers event-driven architecture, strategy abstraction, database design, monitoring, deployment, secrets management, and disaster recovery.
413 lines