Tradecraft

Entry-point live-market scan. Returns current quote, H1/H4 regime, session state, and watch levels for a default watchlist (gold, US30, US500, US100, EURUSD, GBPUSD, BTCUSD, ETHUSD) — or any custom list. Uses the free yfinance path by default, MT5 if available. USE FOR - scan markets, what's moving, market overview, current prices, what's on the watchlist, show me the markets.

Entry-point ranked-setup feed. Runs the full pair-analyze pipeline against a watchlist and returns the top N highest-grade trade setups right now, sorted by confidence × R:R, with one-line rationale and a copy-pasteable trade plan. USE FOR - what should I trade, recommend trades, best setups, top picks, ranked opportunities, where's the edge.

Entry-point skill discovery. Given a keyword or task description, returns the shortest list of Tradecraft skills that match, with direct invocation recipes. No keyword = show the 5 main entry points. USE FOR - find skill, which skill, how do I, search skills, list skills, what can this do, find command.

Entry-point strategy selector. Lists the available trading strategies with a one-line when-to-use for each, plus a deep-dive drill-down by name. Routes to the right specialist skill (ICT/SMC, breakout, scalping, swing, trend-following, mean-reversion). USE FOR - which strategy, what strategies, strategy selector, strategy list, how should I trade, pick a strategy, ICT or SMC, breakout or trend.

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

Agentic storage architecture — persistent memory for AI agents using MCP, immutable versioning, sandboxing, and intent validation. Covers the stateless problem in LLM agents, RAG limitations (read-only), MCP protocol (JSON-RPC, resources, tools), storage safety layers, and agent file system design. Source: IBM Technology (Martin Keen), March 2026. Use this skill for "agentic storage", "agent memory", "persistent agent state", "MCP storage", "agent file system", "agent hard drive", "stateless agent problem", "agent work product", "immutable versioning", "agent sandboxing", "intent validation", "agent safety layers", "agent context window limits", "storage for AI agents", "agent persistence", "autonomous agent storage", "agent audit trail". Works with mcp-integration, trading-brain, agents, trade-psychology-coach.

Expert guide for building AI-powered coding agents that produce professional-quality output. Trigger whenever the user asks to build an AI agent, coding assistant, automation pipeline, tool-using LLM system, or says "agent", "agentic", "tool use", "function calling", "LLM pipeline", "AI workflow", "coding bot", or "autonomous AI". Covers agent architecture, tool design, skill loading, prompt engineering, context management, evaluation loops, and multi-step orchestration using the Claude API or any LLM API.

ML-powered signal aggregation across ALL strategy skills — combines signals from every strategy using weighted voting, random forest meta-learner, and confidence calibration. THE MASTER SIGNAL COMBINER. Use for "combine all signals", "aggregate strategies", "meta strategy", "AI signal", "ensemble signal", "which signal to follow", "best signal now", "combine everything", "master signal", "AI recommendation", or any request to synthesize signals from multiple skills. This is the intelligence layer ABOVE trading-brain.

AI Trading Crew — 50-agent AutoGen system for US stock analysis. 8 specialized teams (Technical, Fundamental, Macro, Sentiment, Quant, Risk, Execution, Strategy) reporting to a Head Coach supervisor. Risk team has veto power. Devil's Advocate agent f

Alternative data sources for trading signals — Google Trends, web traffic, search volume, shipping/supply chain data, satellite imagery proxies, and economic nowcasting. Use this skill whenever the user asks about "alternative data", "Google Trends trading", "search trends", "web traffic signals", "nowcasting", "satellite data trading", "shipping index", "Baltic Dry", "unusual data sources", "non-traditional indicators", "big data trading signals", or any request to incorporate non-standard data into trading decisions. Works with trading-data-science for feature engineering and trading-brain for signal integration.

Pre-configured combination command for gold (XAUUSD) analysis. Runs the full pair-analyze pipeline tuned for gold's volatility profile, session behavior, and dollar sensitivity. USE FOR - analyze gold, analyze XAUUSD, gold setup, trade gold, gold analysis, XAUUSD plan.

Instant full trading analysis — just type a symbol. Auto-detects asset class, timeframe, and runs the complete 18-phase master workflow. Use for ANY ticker/symbol like "EURUSD", "AAPL", "BTCUSD", "XAUUSD", "SPY", "NQ", "ES". This is THE one-command entry point.

Pre-configured combination command for US30 (Dow Jones Industrial Average CFD) analysis. Runs the full pair-analyze pipeline tuned for US30's session-driven flow, earnings sensitivity, and Fed-rate reactivity. USE FOR - analyze US30, analyze Dow, analyze Dow Jones, US30 setup, trade US30, DJ30 plan.

Tokyo session low-volatility scalping setups — range-bound strategies for the quietest session. Use for "Asian scalp", "Tokyo session trade", "Asian range", "night scalping", "low vol scalp", "Asian session strategy", or any Tokyo-session-specific trading. Works with session-profiler.

AutoHedge — enterprise-grade autonomous hedge fund using swarm agent architecture. Sequential pipeline: Director → Quant → Risk Manager → Execution agents. Risk-first design: position sizing before any trade execution. Currently supports Solana; Coin

Generates publication-quality backtest reports with equity curves, Monte Carlo simulations, tearsheets, and comprehensive risk analysis. Use this skill whenever the user asks to "generate a backtest report", "create tearsheet", "equity curve", "Monte Carlo simulation", "strategy report", "performance tearsheet", "backtest results", "drawdown analysis", "strategy statistics", "risk report", "publish backtest", "PDF report", "HTML report", or any request to visualize and document strategy backtesting results. Works with quant-trading-pipeline for backtest data and trading-data-science for statistics.

Backtesting and simulation: vectorized backtesting, paper trading simulation, strategy A/B testing, automated strategy building, natural language to strategy, and trading plan generation. USE FOR: backtest, backtesting, paper trading, simulation, strategy builder, A/B test strategies, natural language strategy, trading plan, equity curve, drawdown analysis, walk-forward, Monte Carlo simulation, performance metrics, Sharpe, Sortino, Calmar, win rate, profit factor, expectancy, strategy validation, overfitting prevention, survivorship bias, look-ahead bias.

Lewis Borsellino's 10 Commandments of Trading — the discipline framework from the largest S&P pit trader in Chicago history ($4.7M in one day, 10% of S&P volume, 20 years without a losing year). Covers trading for success vs money, discipline, knowing yourself, killing ego, avoiding hope/prayer, letting profits run, knowing when to trade, loving losers, the 3-loss circuit breaker, and the unbreakable rule. Source: Words of Rizdom podcast (March 2026, Arabic dubbed). Use this skill for "Borsellino", "10 commandments", "trading commandments", "trading discipline", "pit trader wisdom", "floor trader rules", "CME floor", "trading ego", "trading psychology rules", "circuit breaker rule", "love your losers", "trade for success not money", "know yourself trading", "Lewis Borsellino". Works with trade-psychology-coach, risk-and-portfolio, trading-fundamentals, trading-plan-builder.

Brain Ecosystem — 3 autonomous self-learning AI brains as MCP servers for Claude Code. Brain (280 tools): error memory, code intelligence, autonomous research. Trading Brain (181 tools): adaptive trading, paper trading, signal learning, backtesting.

Pre-built breakout strategy templates — volatility squeeze detection, range breakout, momentum breakout with confirmation filters. Use this skill whenever the user asks about "breakout strategy", "Bollinger squeeze", "range breakout", "momentum breakout", "volatility expansion", "ATR breakout", "Donchian breakout", "breakout confirmation", "false breakout filter", "squeeze momentum", "compression breakout", or any breakout-based trade setup. Works with market-regime-classifier, mt5-chart-browser, and risk-and-portfolio.

Curated collection of 300+ step-by-step guides for building foundational technologies from scratch. 30 categories: databases, Docker, Git, OS, compilers, neural networks, web servers, shells, blockchain, BitTorrent, game engines, regex engines, searc

Lance Breitstein's $100M+ capitulation mean reversion framework — 7-variable checklist, slope analysis for waterfalls, "Right Side of the V" entry method, multi-variable mental rubric scoring, and prior-bar-highs/lows trailing system. Covers the complete decision framework from scanning to entry to trade management. Source: Chart Fanatics interview (Market Wizard, Trillium's top trader 2020-2021). Use this skill for "capitulation trade", "Lance Breitstein", "Breitstein strategy", "right side of the V", "waterfall mean reversion", "capitulation bounce", "slope analysis", "prior bar highs entry", "capitulation volume", "extreme mean reversion", "panic bounce", "asymptotic selloff", "multi-variable rubric", "V-bottom trade", "capitulation checklist", "waterfall pattern", "boring stock panic", "equilibrium reversion", "expected value framework", "extreme move bounce", "forced liquidation trade", "volume capitulation entry", "market wizard strategy", "institutional capitulation". Works with mean-reversion-engine,

Complete chart vision pipeline — render charts, preprocess images, detect candlestick patterns, detect classical chart patterns, detect trendlines and S/R levels, and annotate results back onto charts. Use this skill for ANY chart image task: "render a chart", "create chart image", "screenshot chart", "generate candlestick chart", "draw chart with indicators", "produce chart for analysis", "make a chart PNG", "render OHLCV", "chart to image", "visual chart output", "clean chart image", "preprocess chart", "enhance chart", "remove grid from chart", "prepare chart for analysis", "normalize chart image", "read candles from image", "what candlestick pattern is this", "analyze candles in screenshot", "identify candle pattern from chart", "visual candle detection", "find patterns in chart image", "what chart pattern is this", "pattern recognition from screenshot", "detect triangle from chart image", "visual pattern scan", "AI chart pattern detection", "head and shoulders from image", "detect double top from screens

Analyze a codebase and recommend Claude Code automations (hooks, subagents, skills, plugins, MCP servers). Use when user asks for automation recommendations, wants to optimize their Claude Code setup, mentions improving Claude Code workflows, asks how to first set up Claude Code for a project, or wants to know what Claude Code features they should use.

Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project memory optimization".

Reviews code changes using CodeRabbit AI. Use when user asks for code review, PR feedback, code quality checks, security issues, or wants autonomous fix-review cycles.

This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.

Persist and recall state between skill invocations. Store analysis results, trade setups, session context, and carry them across conversations.

Correlation breakdown during crises, tail risk measurement (VaR, CVaR, fat tails), regime-dependent correlation matrices, hedging strategies by volatility regime, and stress testing protocols. Use for correlation crisis, tail risk, VaR, CVaR, hedging strategy, stress test, or any correlation/tail-risk analysis.

Automatically switches strategy sets when correlation regimes change. Use this skill whenever the user asks about "correlation regime change", "adaptive strategy switching", "when correlations break", "regime-based strategy selection", "correlation breakdown trading", "dynamic strategy switching", "auto-switch strategy", or any question about adapting to changing inter-market relationships. Works with pair-correlation-engine and market-regime-classifier.

CoW Protocol SDK — TypeScript monorepo for intent-based DEX trading with MEV protection. Coincidence of Wants (CoW): batch auction matching, solver network finds optimal routes. Order types: market, limit, TWAP (composable). 14 packages covering trad

Statistical arbitrage, triangular arbitrage, basis trades, and convergence detection across instruments. Use this skill whenever the user asks about "arbitrage", "stat arb", "pairs trading", "triangular arbitrage", "convergence trade", "mean reversion pair", "cointegration", "basis trade", "spread trading", "relative value", "mispricing detection", or any cross-asset relative value strategy. Works with pair-correlation-engine and mt5-chart-browser.

Cross-asset and quantitative analysis: pair correlations, correlation heatmaps, currency strength, cross-timeframe divergence, intermarket analysis, market breadth, carry trades, swap rates, risk premia, and multi-pair baskets. USE FOR: correlation, currency strength, intermarket, market breadth, carry trade, swap rate, risk premia, basket, pair trading, cross asset, quant.

Crypto and DeFi trading: DEX analysis (Uniswap, SushiSwap, Curve), on-chain analytics, MEV detection, impermanent loss, yield farming metrics, DeFi risk analysis, token metrics, liquidity pool analysis, whale tracking, exchange netflow. USE FOR: crypto, defi, dex, uniswap, sushiswap, curve, impermanent loss, yield farming, on-chain, whale, MEV, arbitrage, liquidity pool, token, exchange flow, gas, NFT.

Dan Zanger's complete breakout trading strategy - the system that turned $10,775 into $42 million in 23 months. Chart pattern breakouts with volume confirmation and strict risk management.

Debug a failing test using an iterative logging approach, then clean up and document the learning.

DeepAgents — production-ready LangGraph agent framework by LangChain. Batteries-included: planning (write_todos), filesystem ops, shell execution, sub-agents with isolated context, auto context summarization. pip install deepagents → create_deep_agen

Send trading alerts, signals, and analysis summaries to Discord via webhook. Integrates with realtime-alert-pipeline, trading-brain, and trade-journal-analytics.

Drawdown taxonomy, tiered response protocols (caution to emergency), equity curve health analysis, recovery mathematics, and pre-drawdown preparation. Use for drawdown, equity curve, max drawdown, recovery protocol, drawdown management, or any drawdown-related analysis.

E2B open-source cloud sandboxes for executing AI-generated code securely. USE FOR: run code in sandbox, e2b, code interpreter, execute AI code, secure code execution, isolated environment, AI coding agent execution, run untrusted code, cloud sandbox, code execution API, python sandbox cloud, AI agent code runner, safe code execution, jupyter sandbox.