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Found 57 Skills
Skill to remove the AI-generated feel from Japanese texts. Applicable to technical documents, business documents, blogs, emails, reports, etc. It converts texts that feel "AI-generated", "mechanical" or "soulless" into writing that reads as if it was written by a human.
LaTeX academic paper assistant for English papers (IEEE, ACM, Springer, NeurIPS, ICML). Domains: Deep Learning, Time Series, Industrial Control. Triggers (use ANY module independently): - "compile", "编译", "build latex" → Compilation Module - "format check", "chktex", "格式检查" → Format Check Module - "grammar", "语法", "proofread", "润色" → Grammar Analysis Module - "long sentence", "长句", "simplify" → Long Sentence Analysis Module - "academic tone", "学术表达", "improve writing" → Expression Module - "logic", "coherence", "methodology", "argument structure", "论证" → Logical Coherence & Methodological Depth Module - "translate", "翻译", "中译英", "Chinese to English" → Translation Module - "bib", "bibliography", "参考文献" → Bibliography Module - "deai", "去AI化", "humanize", "reduce AI traces" → De-AI Editing Module - "title", "标题", "title optimization", "create title" → Title Optimization Module
Query TradingView screener data for HK, A-share, A-share ETF, and US symbols with deepentropy/tvscreener. Use for stock lookup, technical indicators (price/change/RSI/MACD/volume), symbol filtering, and custom field/filter-based market queries.
Longbridge Developers platform expert. Use when: (1) querying market data or executing trades via CLI (`longbridge` command), (2) writing Python/Rust programs using the `longbridge` SDK, (3) configuring the Longbridge MCP server for AI tools (Cursor, Claude Code, ChatGPT), (4) integrating Longbridge docs into LLM/RAG systems via llms.txt or Markdown API. Covers all markets: HK, US, CN (SH/SZ), SG, Crypto. Triggers on `longbridge` imports, stock symbols (TSLA.US, 700.HK), API key setup, order placement, WebSocket subscriptions, or any Longbridge platform capability question.
Reviews watchOS code for app lifecycle, complications (ClockKit/WidgetKit), WatchConnectivity, and performance constraints. Use when reviewing code with import WatchKit, WKExtension, WKApplicationDelegate, WCSession, or watchOS-specific patterns.
Analyze China's macroeconomic data, PBOC monetary policy, fiscal policy, and their impact on A-share and Hong Kong stock markets. Track GDP, CPI, PPI, PMI, social financing, and interpret policy signals. Apply this when users inquire about China's macroeconomy, PBOC policies, the impact of economic data on markets, or need to understand policy implications for investment.
OpenClaw stock analysis skill for US/HK/CN markets. Combines QVeris data sources (THS, Caidazi, Alpha Vantage, Finnhub, X sentiment) for quote, fundamentals, technicals, news radar, morning/evening brief, and actionable investment insights.
Apple HIG guidance for status and progress UI components including progress indicators, status bars, and activity rings. Use this skill when asked about: "progress indicator", "progress bar", "loading spinner", "status bar", "activity ring", "progress display", determinate vs indeterminate progress, loading states, or fitness tracking rings. Also use when the user says "how do I show loading state," "should I use a spinner or progress bar," "what goes in the status bar," or asks about activity indicators. Cross-references: hig-components-system for widgets and complications, hig-inputs for gesture-driven progress controls, hig-technologies for HealthKit and activity ring data integration.
Titanium SDK native feature integration guide. Use when implementing, reviewing, analyzing, or examining Titanium location services, maps (Google Maps v2, Map Kit), push notifications (APNs, FCM), camera/gallery, media APIs, SQLite databases, HTTPClient networking, WKWebView, Android Intents, background services, iOS Keychain/iCloud, WatchKit/Siri integration, or CI/CD with Fastlane and Appium.
Apple HIG guidance for Apple technology integrations: Siri, Apple Pay, HealthKit, HomeKit, ARKit, machine learning, generative AI, iCloud, Sign in with Apple, SharePlay, CarPlay, Game Center, in-app purchase, NFC, Wallet, VoiceOver, Maps, Mac Catalyst, and more. Use when asked about: "Siri integration", "Apple Pay", "HealthKit", "HomeKit", "ARKit", "augmented reality", "machine learning", "generative AI", "iCloud sync", "Sign in with Apple", "SharePlay", "CarPlay", "in-app purchase", "NFC", "VoiceOver", "Maps", "Mac Catalyst". Also use when the user says "how do I integrate Siri," "what are the Apple Pay guidelines," "how should my AR experience work," "how do I use Sign in with Apple," or asks about any Apple framework or service integration. Cross-references: hig-inputs for input methods, hig-components-system for widgets.
Swift Testing framework guide for writing tests with @Test, @Suite, #expect, #require, confirmation, parameterized tests, test tags, traits, withKnownIssue, XCTest UI testing, XCUITest, test plan, mocking, test doubles, testable architecture, snapshot testing, async test patterns, test organization, and test-driven development in Swift. Use when writing or migrating tests with Swift Testing framework, implementing parameterized tests, working with test traits, converting XCTest to Swift Testing, or setting up test organization and mocking patterns.
Longbridge CLI expert for querying US and HK stock market data, executing trades, and managing watchlists via the `longbridge` command. Use when the user wants to: (1) Query real-time or historical stock quotes (TSLA.US, 700.HK, 600519.SH), (2) Get candlestick/kline data for any timeframe, (3) View order book depth, trades, intraday data, (4) Query options/warrants, (5) Submit buy/sell orders, manage positions, check balance, (6) Manage watchlists, (7) Get market info (trading sessions, calendar, market temperature), (8) Fetch news, regulatory filings, or community topics for a symbol. Triggers on any request involving stock symbols, market data, trading operations, or `longbridge` CLI usage.