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Found 333 Skills
Increase widget visibility on Apple Watch using RelevanceKit. Use when providing contextual relevance signals for watchOS widgets, declaring time-based or location-based relevance, combining multiple relevance providers, or helping the system surface the right widget at the right time on watchOS 26.
Use this skill when users want live on-chain market data: token prices, price charts (K-line, OHLC), trade history, swap activity. Also, it covers on-chain signals — smart money, whale, and KOL wallet activity, large trades, and signal-supported chains. For meme tokens: scanning new launches, checking dev wallets, developer reputation, rug pull detection, rug pull history, tokens by same creator, detecting bundles or snipers, bonding curves %, flagging suspicious launches, and meme token safety checks. For token search, market cap, liquidity, trending tokens, or holder distribution, use opentrade-token instead.
Reference for X algorithm engagement types and signals. Use when analyzing engagement metrics, action predictions, or understanding what signals the algorithm tracks.
Angular core patterns: standalone components, signals, inject, control flow, zoneless. Trigger: When creating Angular components, using signals, or setting up zoneless.
Analyze the BTC market using a custom momentum theory with nested multi-timeframe analysis (2-day/1-day/12h/6h/4h/2h/1h/30min). Identify uptrend segments, downtrend segments, discrete regulation, unit adjustment cycles, continuous gap divergences, and DIF-DEA divergences, and generate momentum reports with detailed attribute judgments and trading signals. Automatically activates when users inquire about BTC momentum, segment status, MACD analysis, cycle judgment, or divergence detection.
Angular 19 patterns: signals, standalone components, resource API, signal queries, dependency injection, and Aurora framework integration. Trigger: When implementing Angular components, directives, pipes, services, or using modern reactive patterns.
CI-only self-improvement workflow using gh-aw (GitHub Agentic Workflows). Captures recurring failure patterns and quality signals from pull request checks, emits structured learning candidates, and proposes durable prevention rules without interactive prompts. Use when: you want automated learning capture in CI/headless pipelines.
Real-time crypto & financial news aggregator — 72+ data sources across 5 categories (News: Bloomberg, Reuters, FT, CNBC, CoinDesk, Twitter/X + 47 more; Listing: Binance, Coinbase, OKX + 6 more; OnChain: whale & KOL trades; Meme: social sentiment; Market: price/funding/liquidation alerts). AI-analyzed with impact score, trading signals, and bilingual summaries.
Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite. Use when the user needs immediate insights into financial market trends, stock performance factors, and reasoning from the DeepEar Lite dashboard.
Generates Angular code and provides architectural guidance for existing Angular v19 projects. Trigger for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.
Explore PostHog's Inbox — the surface where signal reports surface as actionable issues and trends. Use when the user asks "what's in my inbox?", "what should I look at?", "which reports are actionable?", "what's PostHog flagged recently?", asks about a specific report by ID or title, or wants to see which signal sources are configured. Covers listing, filtering, and drilling into reports, plus pointers to the deeper `signals` skill when raw signals or semantic search are needed.
Detect and analyze adverse drug event signals using FDA FAERS data, drug labels, disproportionality analysis (PRR, ROR, IC), and biomedical evidence. Generates quantitative safety signal scores (0-100) with evidence grading. Use for post-market surveillance, pharmacovigilance, drug safety assessment, adverse event investigation, and regulatory decision support.