Claude Skills by mahmoud20138

This skill should be used when the user asks to "create a plugin", "scaffold a plugin", "understand plugin structure", "organize plugin components", "set up plugin.json", "use ${CLAUDE_PLUGIN_ROOT}", "add commands/agents/skills/hooks", "configure auto-discovery", or needs guidance on plugin directory layout, manifest configuration, component organization, file naming conventions, or Claude Code plugin architecture best practices.

Complete Volume Profile POC (Point of Control) bounce trading strategy with level detection, confluence scoring, multi-timeframe analysis, and trade management. Use whenever the user asks about "POC bounce", "point of control", "volume profile strategy", "volume profile levels", "POC trading", "naked POC", "virgin POC", "value area bounce", "VAH VAL", "HVN LVN", "volume nodes", "session POC", "profile shape", "80% rule", "value area fill", "where did institutions trade", "fair value volume", ...

AI agent framework for autonomous trading on Polymarket prediction markets. Connects LLMs to Polymarket's DEX via Gamma API, supports RAG with Chroma DB, integrates news/betting/web-search data sources. Uses py-clob-client for on-chain order executio

Modern portfolio construction: Markowitz MVO, Risk Parity, Black-Litterman, Hierarchical Risk Parity (HRP), Kelly Criterion, VaR/CVaR tail risk, and portfolio analytics. USE FOR: portfolio optimization, Markowitz, efficient frontier, risk parity, Black-Litterman, HRP, Kelly criterion, VaR, CVaR, max Sharpe, minimum variance, covariance, portfolio weights, asset allocation, tail risk, diversification.

Pure price action analysis: candlestick patterns & statistics, chart pattern recognition, harmonic patterns, Elliott Wave theory, and trendline/S&R detection. USE FOR: price action trading, candlestick pattern identification, candle pattern analysis, chart pattern recognition, harmonic patterns ABCD Gartley Butterfly Bat Crab, Elliott Wave count, trendline drawing, support resistance levels, head and shoulders, double top double bottom, engulfing candle, pin bar, doji, hammer, shooting star, ...

Produces senior-engineer-level code architecture across any language or platform. Trigger whenever the user asks to build a feature, module, service, or full app — or says "clean code", "scalable", "production-grade", "professional architecture", "refactor", or "best practices". Covers SOLID, design patterns, error handling, testing strategy, API design, and modular composition. Enforces clean boundaries, type safety, and separation of concerns. Works across Python, Kotlin, TypeScript, and an...

Expert skill for generating visual art, diagrams, illustrations, charts, and drawings programmatically using SVG, HTML Canvas, p5.js, Three.js, Mermaid, and D3. Trigger whenever the user asks to draw, illustrate, visualize, diagram, create art, generate graphics, make a flowchart, render shapes, animate visuals, create infographics, or produce any kind of visual output through code. Also trigger for data visualization, generative art, interactive graphics, and technical diagrams.

Environment manager-specific discovery patterns and known issues. Use when working on or reviewing environment discovery code for conda, poetry, pipenv, pyenv, or venv.

Complete quantitative and ML-powered trading toolkit — strategy validation, genetic optimization, decay monitoring, reinforcement learning, signal aggregation, data science pipelines, and statistical/quant foundations. Use this skill for: "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 rep...

Real-time portfolio risk monitoring with live metrics (drawdown, exposure, correlation, VaR), configurable alert thresholds, kill switches for emergency stops, and ASCII dashboard display. Use for risk monitor, live risk, kill switch, exposure alert, real-time drawdown, or any live risk monitoring.

Condition monitoring, multi-trigger alerts, and notification pipeline for trading signals. Use this skill whenever the user asks about "set an alert", "price alert", "notify me when", "trigger alert", "condition monitoring", "signal pipeline", "push notification trading", "alert system", "watchlist alerts", "multi-condition trigger", "composite alert", or any request to set up automated monitoring and alerting. Works with mt5-chart-browser for data and all analysis skills for condition genera...

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.

Complete trading risk management, portfolio construction, performance tracking, and quantitative stress testing — all in one skill. The safety layer for all trading decisions. RISK MANAGEMENT: "risk management", "position sizing", "lot size calculation", "stop loss placement", "drawdown management", "Kelly criterion", "ATR-based sizing", "fixed percentage risk model", "risk-reward analysis", "profit factor", "expectancy", "trading psychology", "trade-psychology-coach biases", "loss aversion"...

Determines when NOT to trade by mapping event blackout zones, session quality windows, and risk filters. Use this skill whenever the user asks "should I trade today", "is it safe to trade", "any events to avoid", "blackout zones", "when not to trade", "trade filter", "event risk", "news blackout", "rollover time", "low liquidity", "end of month", "NFP week", "FOMC week", or any question about trading timing safety. This is a pre-trade safety gate that should be checked before any entry. Works...

Risk of Ruin formula, Kelly Criterion (full and fractional), Monte Carlo survival simulation, and position sizing models (fixed fractional, volatility-adjusted, fixed ratio). Use for risk of ruin, Kelly criterion, Monte Carlo, position sizing, bankroll management, or any ruin/sizing calculation.

ritmex-ai-trader — multi-agent crypto trading research platform for Binance. Automated market data ingestion, PineScript-based technical analysis, signal generation, risk management, and compliance reporting. Built on Bun (TypeScript). Agents: data p

Run E2E tests to verify complete user workflows like environment discovery, creation, and selection. Use this before releases or after major changes.

Run integration tests to verify that extension components work together correctly. Use this after modifying component interactions or event handling.

Run the mandatory pre-commit checks before committing code. Includes lint, type checking, and unit tests. MUST be run before every commit.

Run smoke tests to verify extension functionality in a real VS Code environment. Use this when checking if basic features work after changes.

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.

Statistical analysis of trading sessions — London, New York, Tokyo, and their overlaps. Use this skill whenever the user asks about "best time to trade", "session analysis", "London session", "New York session", "Tokyo session", "Asian session", "session overlap", "session open patterns", "London open", "NY open", "session statistics", "when is the market most active", "session volatility", "what session are we in", "killzone", "ICT killzone", or any question about trading session behavior, t...

Session-based and short-term strategies: Asian session scalping, session breakouts, scalping frameworks, breakout strategies, gap trading, grid trading, end-of-day, and swing trading. Opening Range Break & Retest (ORB) — NY session M5/M1/M15 first candle strategy. USE FOR: Asian session, London session, New York session, Tokyo session, scalping, scalp trade, M1 strategy, session breakout, London breakout, Asian range breakout, NY reversal, gap trading, opening gap, gap fill, gap and go, Sunda...

Track which skills you use most, success rates, token usage, and generate improvement recommendations. Reads ~/.claude/usage.json.

This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.

Auto-generate documentation for all 146 skills — interactive HTML navigator, dependency graphs, usage examples, quick-start guides, and skill catalog.

Diagnose all 146 skills for issues — broken syntax, outdated content, missing fields, oversized files. Suggests fixes and improvement priority list.

MANDATORY META-SKILL: Governs how the AI agent interacts with ALL other skills. Enforces disciplined skill reading, smart selection, complete execution, speed, and quality. This skill MUST be consulted on EVERY task that could involve any user or public skill — coding, trading, documents, presentations, spreadsheets, PDFs, MQL5, news, strategy building, architecture, git, testing, or any multi-step workflow. If the user says 'build', 'create', 'fix', 'analyze', 'generate', 'write', 'implement...

Full skill library management — list by usage, find duplicates, visualize dependency graph, check for updates, batch validate all 146 skills.

Auto-route tasks through analysis → execution → logging pipeline. Detects intent and selects the optimal skill chain automatically.

Run validation tests on any skill or all 146 skills. Checks format, sample invocations, output quality, and generates a report card.

Detect fake breakouts, stop hunts, liquidity grabs, and institutional traps. Use for "fake breakout", "trap", "stop hunt", "liquidity grab", "bull trap", "bear trap", "false break", "smart money trap", "institutional trap", "fakeout", or any trap/fake-out detection. Works with liquidity-order-flow-mapper and market-structure-bos-choch.

Intelligent skill routing, auto-selection, dependency resolution, and bundle execution for the entire 265+ skill ecosystem. The brain that decides which skills to run, in what order, with what priority. Uses skills_index.json for instant lookup, skills_graph.json for dependency chains, and skill_router.py for scoring/ranking. Use this skill for "which skill should I use", "find skill for", "route to skill", "skill search", "skill lookup", "auto select skill", "run skill bundle", "skill depend...

Smart Risk's SMC beginner-to-pro framework: 5 core concepts — market direction (mitigation-based control), liquidity (stop hunting + grab patterns), supply & demand zones (3-candle rule, 3 marking methods), order blocks (FVG-based), and top-down analysis (Weekly > Daily > 4H > 1H step-by-step with live EURUSD example). USE FOR: SMC beginner guide, smart money concepts basics, market direction mitigation, liquidity grab pattern, supply demand zone marking, order block identification, top down ...

smartmoneyconcepts — Python library implementing ICT/SMC indicators on OHLC DataFrames. 8 indicators: FVG, Swing Highs/Lows, BOS/CHoCH, Order Blocks, Liquidity, Previous High/Low, Sessions (kill zones), Retracements. pip install smartmoneyconcepts →

Scrapes and analyzes social media sentiment from Twitter/X, Reddit, TradingView, and market sentiment indicators like Fear & Greed Index and retail positioning. Use this skill whenever the user asks about "market sentiment", "what are traders saying", "Twitter sentiment", "Reddit WallStreetBets", "retail positioning", "Fear and Greed Index", "crowd sentiment", "contrarian signal", "social media trading", "TradingView ideas", "bullish or bearish crowd", "retail long/short ratio", "IG client se...

GitHub Spec Kit — Spec-Driven Development with AI coding agents. Structures AI coding by creating living spec artifacts before implementation. USE FOR: "spec kit", "spec-driven", "specify init", "write a spec", "create constitution", "spec before coding", "structured AI coding", "spec driven development", "speckit", "/speckit", "constitution.md", "plan before coding", "fix AI coding", "make AI follow specs", "spec then implement", "structured prompting", "define requirements first", "tasks br...

Measure real execution costs, compare brokers, detect hidden fees and spread widening. Use this skill for "spread analysis", "slippage", "execution cost", "broker comparison", "hidden fees", "spread widening", "cost of trading", "true spread", "execution quality", "tick cost analysis", "best broker", or any question about trading costs. Works with mt5-chart-browser for tick data and trade-journal-performance for actual execution data.

Statistical analysis and time series modeling for trading: regime detection, probability modeling, edge validation, correlation modeling, distribution analysis, hypothesis testing, ARIMA models, stationarity testing, autocorrelation analysis. USE FOR: regime detection, edge validation, win rate analysis, expectancy, probability of profit, distribution analysis, normal distribution, fat tails, Sharpe ratio calculation, statistical significance, hypothesis testing, Monte Carlo simulation, corre...

StockSight — open-source stock sentiment analysis using Twitter + news headlines. Elasticsearch storage, Kibana dashboards, NLTK/TextBlob/VADER NLP. Correlates social/news sentiment with price movements. Docker or local install. Asset-agnostic: works

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.

Evolutionary algorithm engine that breeds, mutates, and evolves trading strategies automatically. Use this skill whenever the user asks to "optimize strategy", "evolve parameters", "genetic algorithm", "breed strategies", "parameter optimization", "auto-optimize", "find best parameters", "evolutionary search", "mutation", "crossover", "fitness function", "population-based optimization", or any request to automatically discover optimal strategy configurations. Works with quant-trading-pipeline...

Meta-skill for selecting the optimal trading strategy based on current market conditions, session timing, volatility regime, and asset class. Routes to the correct strategy skill. USE FOR: which strategy to use, what setup for this market, strategy for current conditions, best approach right now, market regime detection, should I scalp or swing, trending or ranging.

End-to-end strategy validation — backtest tearsheet (Sharpe, Sortino, Calmar, VaR), walk-forward optimization, Monte Carlo stress testing, parameter sensitivity heatmaps, and strategy A/B testing. Use for validate strategy, backtest report, walk-forward, Monte Carlo test, parameter sensitivity, or any strategy validation.

Best practices for building Stripe integrations. Use when implementing payment processing, checkout flows, subscriptions, webhooks, Connect platforms, or any Stripe API integration.

Build custom synthetic instruments from weighted pair combinations. Use this skill whenever the user asks about "synthetic pair", "basket construction", "custom index", "weighted basket", "create a currency basket", "DXY replica", "synthetic instrument", "pair basket", "composite instrument", "trade a basket", or any request to construct custom tradeable instruments from multiple pairs. Works with pair-correlation-engine and portfolio-optimizer.

Real-world system design case studies from 40+ major tech companies + 114 concepts. USE FOR: system design, design Twitter, design YouTube, design Uber, design Netflix, design WhatsApp, design Slack, design Instagram, URL shortener, payment system, distributed systems, scalability, microservices, caching patterns, consistent hashing, rate limiting, system design interview, architecture patterns, database scaling.

Complete technical analysis knowledge base covering candlestick patterns, chart patterns, technical indicators, support/resistance, Fibonacci levels, pivot points, and supply/demand zones. Includes Python strategy engines for Fibonacci retracement/extension, Ichimoku cloud signals, MA ribbons, pivot point strategies, momentum/ROC, divergences (regular and hidden), Heikin-Ashi candles, Renko bricks, volume profile (POC/VAH/VAL), trend following systems, and mean reversion setups. Trigger when ...

Send trading alerts and psychology nudges to Telegram. Mobile notifications for trade setups, risk warnings, and trade-psychology-coach messages.

TensorTrade — composable RL framework for building and training reinforcement learning trading agents. Modular TradingEnv with Observer, ActionScheme, RewardScheme, Portfolio, Exchange components. Integrates Ray RLlib for distributed training. Python