Agent Skills by agiprolabs
Showing 62 vetted skills indexed across 1 GitHub repositories.
strategy-framework
Define and document trading strategies with standardized sections for rules and risk.
sybil-detection
Detect Sybil attacks in Solana token markets using Helius API and RPC data.
ta-lib
Provides Python wrapper for TA-Lib C library enabling fast computation of 150+ technical indicators and 61 candlestick patterns.
tax-liability-tracking
Track real-time crypto tax liability with proportional cost basis and quarterly projections.
backtrader
Backtest trading strategies bar-by-bar with the backtrader Python framework.
jito-bundles
Submit up to five Solana transactions atomically via Jito bundles.
helius-api
Access Solana blockchain data via Helius RPC, DAS API, and webhooks.
copy-trading
Automate Solana copy trades via wallet monitoring and Jupiter execution.
impermanent-loss
Calculate impermanent loss for AMM liquidity pools with Python.
kelly-criterion
Calculate optimal position sizing using the Kelly criterion and fractional variants.
crypto-tax-export
Export cryptocurrency trade history and tax calculations to Koinly, CoinTracker, CoinLedger, TokenTax, and IRS Form 8949 formats.
solanatracker-api
Fetch Solana token prices, OHLCV candles, wallet PnL, and risk scores.
mev-analysis
Analyze MEV exposure and sandwich attack risks for Solana DEX trades.
volatility-modeling
Estimate, forecast, and classify market volatility with GARCH and EWMA models.
vectorbt
Backtest trading strategies with vectorized vectorbt simulations and grid search optimization.
options-pricing
Calculate European option prices and Greeks with the Black-Scholes model.
feature-engineering
Generate predictive features from time-series market data for trading models.
dex-execution
Execute token swaps on Solana DEXs via Jupiter aggregator.
signal-classification
Train XGBoost and LightGBM models to classify future price movements with walk-forward validation and SHAP feature importance.
trade-journal
Log trades and analyze performance metrics with Python scripts.
tax-loss-harvesting
Identify, score, and plan crypto tax-loss harvesting opportunities with wash sale compliance.
regime-detection
Classify market regimes using volatility and trend indicators on OHLCV data.
risk-management
Manage portfolio-level risk controls for crypto trading with Python scripts.
trade-accounting
Implement a double-entry bookkeeping ledger for cryptocurrency trading with FIFO cost basis tracking.