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Found 378 Skills
Mean-reversion strategy tools including Hurst exponent, half-life estimation, z-score signals, ADF testing, and Ornstein-Uhlenbeck modeling
Expert Godot 4 game developer specializing in GDScript, the node/scene system, signals, resources, and engine-native patterns. Provides deep knowledge of Godot's unique architecture, performance optimization, and best practices for building games from simple prototypes to production-ready releases. Use when "godot, gdscript, godot 4, godot engine, build a game with godot, godot scene, godot node, godot signal, godot resource, godot tilemap, godot physics, godot animation, godot ui, godot multiplayer, godot, gdscript, game-engine, game-development, 2d-games, 3d-games, open-source" mentioned.
Pairs trading / statistical-arbitrage strategy via Longbridge Securities — tests cointegration between two correlated assets using the Engle-Granger (ADF) method, computes the optimal hedge ratio via OLS, calculates spread Z-score, half-life of mean reversion, and generates entry/exit signals (long spread when Z > 2, short spread when Z < -2, exit when |Z| < 0.5). Triggers: "配对交易", "统计套利", "协整", "价差交易", "对价交易", "双股套利", "配對交易", "統計套利", "協整", "價差交易", "pairs trading", "statistical arbitrage", "cointegration", "spread trading", "mean reversion pairs", "hedge ratio", "half-life", "ADF test", "Kalman filter", "Z-score spread", "spread mean reversion".
Daily morning briefing — writes a concise pre-market morning brief summarising overnight major moves (US/HK close, A-share pre-market signals), key events on the watchlist, today's catalysts (earnings / economic data / policy), and a trading ideas overview. Triggers: "晨会", "晨报", "早报", "早盘", "盘前简报", "今日重点", "开盘前", "晨会纪要", "晨會", "晨報", "早報", "盤前簡報", "今日重點", "開盤前", "晨會紀要", "morning brief", "morning call", "pre-market brief", "daily briefing", "market morning", "opening summary", "today's focus", "AM brief", "morning meeting".
US ETF capital-flow analysis via Longbridge Securities — tracks institutional money migration via ETF creation/redemption changes, sector breadth signals, and thematic momentum. Analyses major SPDR sector ETFs (XLK / XLF / XLE / XLV etc.) for net inflow / outflow to gauge industry rotation and risk-appetite shifts. Triggers: "ETF资金流", "ETF流向", "美国ETF", "板块ETF", "XLK", "XLF", "XLE", "机构资金迁移", "行业轮动信号", "ETF資金流", "ETF流向", "美國ETF", "板塊ETF", "機構資金遷移", "ETF flow", "US ETF flow", "sector ETF", "SPDR", "institutional flow", "sector rotation signal", "ETF inflow outflow", "fund flow".
Groundwater time series analysis and modelling using transfer function noise models. Use when Claude needs to: (1) Analyze groundwater level time series, (2) Model well responses to precipitation/pumping, (3) Calibrate aquifer parameters from head data, (4) Forecast or hindcast groundwater levels, (5) Decompose hydrological signals into components, (6) Compare response functions, (7) Perform model diagnostics and uncertainty analysis.
Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search / freedom-to-operate / competitive landscape / acquisition diligence / litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Triggers: 'prior art search for [invention]', 'patent search on [topic]', 'freedom to operate analysis', 'FTO for [product]', 'patent landscape for [field]', 'is [invention] novel', 'patents on [topic]', 'competitive patent analysis', 'prior art for litigation', 'patent diligence on [company]'. Produces search signal, not legal advice — always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.
Control Ableton Live with AI agents via MCP - create MIDI clips, insert audio, add tracks/devices, analyze signals, automate mixing
Query, insert, edit, and delete user's flomo memos through the flomo Web UI using Chrome MCP tools (no official API required). flomo is also a user's first-person context source for inferring recent state, active concerns, and value signals from recent memos when the user asks.
Audit and optimize e-commerce landing pages for conversion. CTA placement, trust signals, page structure, copy optimization, and A/B testing strategy for product pages, collection pages, and campaign landing pages.
Build and operate predictive models for logistics networks—demand forecasting at SKU/location/lane granularity; inventory positioning and safety stock optimization interfaces; ETA and lead-time prediction; capacity and congestion signals; route and network flow forecasting at model-integration level; cold chain and perishables; promotion and seasonality; model monitoring, drift, and backtesting against operational KPIs (fill rate, OTIF, WMAPE/MAPE). Use for predictive logistics, demand forecasting logistics, ETA prediction, inventory positioning, safety stock optimization, OTIF forecast, lane demand, WMAPE, logistics ML, capacity forecasting logistics, or cold chain forecast—not pure OR/MIP without logistics domain (operations-research-algorithm-developer), supply chain strategy only (supply-chain-manager), WMS feature dev (wms-developer), fleet telematics ingestion (geospatial-telematics-developer), generic ML without logistics (data-scientist), or EDI document mapping (edi-engineer).
Identify candidate stocks with sufficient pullbacks but intact trends and acceptable support structures, and output observation ranges, reversal signals, and invalidation conditions. Suitable for scenarios such as bargain-hunting opportunity screening, secondary entry for strong stocks, and pullback observation for trend stocks.