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Found 313 Skills
World-class alternative data and sentiment analysis for trading - social media, news, on-chain data, positioning. Extract alpha from information others miss. Use when "sentiment, alternative data, social media trading, news trading, twitter signals, on-chain, whale watching, fear greed, positioning, " mentioned.
Detect sector rotation signals by analyzing macroeconomic indicators and business cycle positioning to identify which sectors are likely to outperform or underperform over the next 6–12 months. Use when the user asks about sector rotation, macro-driven sector allocation, business cycle investing, which sectors to overweight or underweight, interest rate impact on sectors, inflation plays, or macro investment strategy.
Discovers relevant Fusion skills through Fusion MCP first, falls back to GitHub-backed catalog inspection when needed, returns concise matches with purpose and next-step guidance, and handles install, update, or remove intent without guesswork. USE FOR: finding a skill for a task, asking what to install, checking update or remove guidance, discovering available Fusion skills. DO NOT USE FOR: creating new skills, performing the task itself, or inventing results when discovery signals are unavailable.
Golang everyday observability — the always-on signals in production. Covers structured logging with slog, Prometheus metrics, OpenTelemetry distributed tracing, continuous profiling with pprof/Pyroscope, server-side RUM event tracking, alerting, and Grafana dashboards. Apply when instrumenting Go services for production monitoring, setting up metrics or alerting, adding OpenTelemetry tracing, correlating logs with traces, migrating legacy loggers (zap/logrus/zerolog) to slog, adding observability to new features, or implementing GDPR/CCPA-compliant tracking with Customer Data Platforms (CDP). Not for temporary deep-dive performance investigation (→ See golang-benchmark and golang-performance skills).
Write unit and integration tests for Angular v21+ applications using Vitest or Jasmine with TestBed, component harnesses, and modern testing patterns. Use for testing components with signals, OnPush change detection, services with inject(), and HTTP interactions. Triggers on test creation, testing signal-based components, mocking dependencies, or setting up test infrastructure.
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.
Implement graceful shutdown procedures to handle SIGTERM signals, drain connections, complete in-flight requests, and clean up resources properly. Use when deploying containerized applications, handling server restarts, or ensuring zero-downtime deployments.
SolidJS framework development skill for building reactive web applications with fine-grained reactivity. Use when working with SolidJS projects including: (1) Creating components with signals, stores, and effects, (2) Implementing reactive state management, (3) Using control flow components (Show, For, Switch/Match), (4) Setting up routing with Solid Router, (5) Building full-stack apps with SolidStart, (6) Data fetching with createResource, (7) Context API for shared state, (8) SSR/SSG configuration. Triggers: solid, solidjs, solid-js, solid start, solidstart, createSignal, createStore, createEffect.
Backtest crypto and traditional trading strategies against historical data. Calculates performance metrics (Sharpe, Sortino, max drawdown), generates equity curves, and optimizes strategy parameters. Use when user wants to test a trading strategy, validate signals, or compare approaches. Trigger with phrases like "backtest strategy", "test trading strategy", "historical performance", "simulate trades", "optimize parameters", or "validate signals".
Predict market/tech/business-model trends and market-entry timing (enter/wait/avoid) by analyzing 2-3 years of signals to forecast 1-2 years ahead; use for questions like market timing, trend trajectory (rising/peaking/declining), adoption curve stage, or what comes next.
Analyze insider trading patterns to surface companies with significant, meaningful insider buying activity. Use when the user asks to review insider trading activity, find stocks insiders are buying, analyze SEC Form 4 filings, detect insider buying clusters, assess management confidence through insider purchases, or identify bullish insider signals in a sector or industry.
Analyze drug safety signals from FDA adverse event reports, label warnings, and pharmacogenomic data. Calculates disproportionality measures (PRR, ROR), identifies serious adverse events, assesses pharmacogenomic risk variants. Use when asked about drug safety, adverse events, post-market surveillance, or risk-benefit assessment.