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Found 41 Skills
Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, and tampered system structures.
Detect and analyze heap spray attacks in memory dumps using Volatility3 plugins to identify NOP sled patterns, shellcode landing zones, and suspicious large allocations in process virtual address space.
Query Data912 market data endpoints for Argentina and USA instruments. Use when the user asks for MEP/CCL quotes, live Argentine market panels (stocks, options, cedears, notes, corporate debt, bonds), USA panels (ADRs, stocks), OHLC historical series by ticker, USA option chains, or volatility/risk metrics. Also use when the user mentions "Data912", "mep", "ccl", "cedears", "option chain", "historical bars", "OHLC", "implied volatility", "historical volatility", or "volatility percentiles" and expects API-backed market snapshots.
Advanced options strategy framework via Longbridge — volatility surface concepts (SABR/local vol), dynamic Delta hedging, calendar spread, diagonal spread, volatility arbitrage (long vol/short vol), and skew trading. Triggers: "高级期权", "波动率套利", "日历价差", "对角价差", "动态对冲", "偏斜交易", "SABR", "Long Vol", "Short Vol", "Delta对冲", "伽马交易", "高階期權", "波動率套利", "日曆價差", "對角價差", "動態對沖", "偏斜交易", "advanced options", "calendar spread", "diagonal spread", "volatility arbitrage", "long vol short vol", "skew trade", "dynamic delta hedging", "gamma scalping", "SABR model".
Market regime identification using volatility clustering, trend detection, and statistical methods for adaptive trading
Router skill for LLMQuant options workflows. Use when the user needs IV rank, option scoring, strategy construction, Greeks, P&L simulation, volatility surface, unusual activity, earnings IV crush, backtests, or hedges.
Provides domain knowledge and guidance for the Flare Time Series Oracle (FTSO)—block-latency feeds, Scaling anchor feeds, feed IDs, onchain and offchain consumption, fee calculation, delegation, and smart contract integration. Use when working with FTSO, price feeds, oracle data, feed consumption, volatility incentives, or Flare Developer Hub FTSO guides and starter repos.
Analyze stocks using Mark Minervini's SEPA (Specific Entry Point Analysis) methodology. Use this skill whenever the user mentions SEPA, Minervini, superperformance, trend template, VCP (Volatility Contraction Pattern), Stage 2 uptrend, stage analysis, pivot point breakout, or asks about growth stock screening criteria. Also triggers when the user wants to evaluate whether a stock meets swing trading entry criteria, check moving average alignment (bullish stacking: price above 50MA above 150MA above 200MA), assess breakout quality with volume confirmation, calculate position sizing based on risk percentage, or identify consolidation patterns like cup-with-handle, flat base, bull flag, or high tight flag. Use this skill even when the user simply asks "should I buy this stock" or "is this a good setup" in the context of growth/momentum trading, or when they share a stock chart and want pattern analysis.
Macro liquidity monitoring and risk early-warning system. By tracking 4 core indicators (Fed Net Liquidity, SOFR Overnight Financing Rate, MOVE Treasury Volatility Index, Yen Carry Trade Signals), it provides real-time assessment of liquidity conditions in the global financial system, outputting liquidity ratings and risk response recommendations. When users mention topics such as liquidity, Fed balance sheet reduction (QT), TGA account, reverse repo ON RRP, SOFR rate, MOVE index, Treasury volatility, yen carry trade, USDJPY and interest rate differentials, impact of QT on markets, whether money is tight, liquidity inflection points, tightening financial conditions, etc., this skill should be used. Even if users ask broadly "how is liquidity right now" or "is the Fed draining or injecting liquidity," this skill should be triggered to provide a structured analytical framework.
Options trading strategy analysis and simulation tool. Provides theoretical pricing using Black-Scholes model, Greeks calculation, strategy P/L simulation, and risk management guidance. Use when user requests options strategy analysis, covered calls, protective puts, spreads, iron condors, earnings plays, or options risk management. Includes volatility analysis, position sizing, and earnings-based strategy recommendations. Educational focus with practical trade simulation.
Apply statistical methods to financial data including descriptive statistics, covariance estimation, regression, hypothesis testing, and resampling. Use when the user asks about return distributions, correlation between assets, building a covariance matrix, running a CAPM regression, testing whether alpha is significant, checking if returns are normal, or estimating confidence intervals. Also trigger when users mention 'volatility', 'how correlated are these', 'fat tails', 'skewness', 'R-squared', 'beta of a fund', 'bootstrap a Sharpe ratio', 'shrinkage estimator', 'Ledoit-Wolf', or ask why their optimizer produces unstable weights.
Use public market data to check whether the Interest Rate Volatility (MOVE) is not spooked by interest rate events (such as JGB yield changes) and whether it leads VIX/credit spreads lower.