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Found 9,315 Skills
Use this skill when working on multiplayer networking, replication, RPC calls, net role logic, server/client authority, prediction, or synchronizing game state. Also use when the user mentions 'DOREPLIFETIME', 'dedicated server', 'replicated', or 'net role'. See references/replication-patterns.md for common patterns and references/rpc-decision-guide.md for RPC type selection. For GAS networking, see ue-gameplay-abilities.
Inorganic chemistry, physical chemistry, and materials science — crystal structures, coordination chemistry, bonding theory (covalency, orbital mixing), symmetry/point groups, thermodynamics, kinetics, spectroscopy interpretation, noble gas compounds, lanthanide/actinide chemistry. Use for questions about crystal systems, unit cells, density calculations, metal complexes, solid-state chemistry, or physical chemistry calculations.
Machine-learning prediction strategy framework via Longbridge Securities — walk-forward rolling training with feature engineering (MACD, RSI, Bollinger Band width, volume change rate) and a scikit-learn classifier (Random Forest / Gradient Boosting); retrains every 60 days, predicts 5-day direction; buy signal when probability > 0.6, sell when < 0.4; evaluates win rate, profit factor, and Sharpe ratio. Triggers: "机器学习", "ML策略", "预测模型", "随机森林", "梯度提升", "深度学习", "AI选股", "walk-forward", "機器學習", "ML策略", "預測模型", "隨機森林", "梯度提升", "machine learning", "ML strategy", "predictive model", "random forest", "gradient boosting", "AI stock selection", "walk-forward", "rolling training", "feature engineering", "scikit-learn", "XGBoost".
Crypto wallet management across 7 blockchains via EmblemAI Agent Hustle API. Balance checks, token swaps, portfolio analysis, and transaction execution for Solana, Ethereum, Base, BSC, Polygon, Hedera, and Bitcoin.
Pitch-book company profile page via Longbridge — generates a professional company profile for trading materials and client presentations: positioning quadrant (market position / growth), business highlights, key financial matrix (revenue / EBITDA / net income / EPS / PE / EV), price trend description, major shareholders and management, recent catalysts. More presentation-focused and investment-banking oriented than longbridge-company-tearsheet. Triggers: "公司画像", "公司简介页", "投行公司页", "公司展示", "公司描述", "公司介绍页", "公司信息页", "公司畫像", "公司簡介頁", "投行公司頁", "pitch book", "company profile page", "company profile", "company description", "investor profile", "company slide", "company overview page", "pitch book company page".
Advanced options strategy framework via Longbridge — volatility surface concepts (SABR/local vol), dynamic Delta hedging, calendar spread, diagonal spread, volatility arbitrage (long vol/short vol), and skew trading. Triggers: "高级期权", "波动率套利", "日历价差", "对角价差", "动态对冲", "偏斜交易", "SABR", "Long Vol", "Short Vol", "Delta对冲", "伽马交易", "高階期權", "波動率套利", "日曆價差", "對角價差", "動態對沖", "偏斜交易", "advanced options", "calendar spread", "diagonal spread", "volatility arbitrage", "long vol short vol", "skew trade", "dynamic delta hedging", "gamma scalping", "SABR model".
Buffett-style stock screener — "What would Buffett buy now?" Generates 3–5 candidate stocks from a market / sector / preference query via a two-layer model: hard quant filter (ROE 5y ≥15%, debt/asset ≤50%, FCF positive 3y, listed ≥5y, gross margin ≥30%) → qualitative moat scoring (moat 35% / capital allocation 20% / earnings predictability 20% / valuation 15% / runway 10%). Longbridge CLI first, MCP fallback, WebSearch for gaps only. Output: candidate cards with moat-type tag, quantitative highlights, verdict (🟢 likely buy / 🟡 wait for price / 🔴 not at this price), deep-dive CTA to `longbridge-buffett-moat-analyzer`. Mandatory holding-period education + data-source appendix. Disqualifies airlines, pre-revenue biotech, ST, listing<5y. Triggers: "巴菲特会买什么", "巴菲特选股", "巴菲特风格的股票", "护城河选股", "宽护城河股票", "价值投资选股", "10年不动的股票", "定价权强的公司", "巴菲特會買什麼", "巴菲特選股", "護城河選股", "寬護城河股票", "Buffett screener", "what would Buffett buy", "wide-moat screener", "quality compounder screen", "Berkshire-style screen", "pricing-power screen".
Re-render a subject or scene from multiple dramatic camera angles, such as fish-eye, bird's-eye, low-angle, and macro, while maintaining consistent identity and detail.
When the user wants to build or improve a sales bot's ability to integrate with calendars and schedule meetings autonomously. Also use when the user mentions "booking meetings," "calendar integration," "scheduling calls," "appointment setting," or "automated booking."
Used in Git development when you need to abandon current attempts and roll back to a historical commit. It automatically archives the current state to the archive/ branch and establishes bidirectional links (source and target) in ARCHIVE.md to ensure traceability of the development decision flow. Suitable for scenarios requiring safe rollback while retaining the context of failed attempts.
Landscape evolution and surface process modelling in Python. Build 2D numerical models for erosion, hydrology, soil transport, and geomorphology. Use when Claude needs to: (1) Model landscape evolution over time, (2) Simulate river/stream erosion, (3) Route water flow across terrain, (4) Model hillslope diffusion processes, (5) Simulate weathering and soil production, (6) Analyze drainage networks, (7) Combine multiple geomorphic processes, (8) Load/save DEM data for modeling.
Help users discover and install Claude Code skills. Use this skill when users ask "how to do X", "find a skill that can do X", "are there any skills that can..." or want to expand AI capabilities. Search, verify quality, and assist with installation through the skills.sh ecosystem.