Total 50,395 skills, Data Processing has 2557 skills
Showing 12 of 2557 skills
Analyze the interest rate swap curve by pricing swaps at multiple tenors, overlaying government and inflation curves, and identifying curve trade opportunities. Use when analyzing swap curves, computing swap spreads, decomposing real rates, identifying steepener/flattener/butterfly trades, or comparing swap rates across currencies.
Tie an LP statement to the fund's NAV pack — recompute the LP's capital account from the NAV components and flag any line that doesn't agree. Use before LP statements are distributed.
Build macroeconomic and rates dashboards combining macro indicators, yield curves, inflation breakevens, and swap rates. Use when monitoring macro conditions, analyzing yield curve shape, decomposing real vs nominal rates, assessing policy rate expectations, or evaluating financial conditions.
Analyze the bond futures basis by pricing futures, identifying the cheapest-to-deliver, and comparing with yield curves to assess delivery option value and basis trading opportunities. Use when analyzing bond futures, computing the basis, identifying CTD bonds, calculating implied repo rates, or evaluating basis trades.
K-line candlestick pattern recognition for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Identifies 15 classic patterns (hammer, hanging man, engulfing, doji, morning/evening star, three white soldiers/black crows, shooting star, etc.) from OHLCV data and generates a composite bullish/bearish/neutral signal. Triggers: "K线形态", "蜡烛图形态", "锤子线", "吞没形态", "十字星", "早晨之星", "暮色之星", "三白兵", "三黑鸦", "吊颈线", "射击之星", "K線形態", "蠟燭圖形態", "錘子線", "吞沒形態", "早晨之星", "暮色之星", "candlestick pattern", "hammer", "engulfing", "doji", "morning star", "evening star", "three white soldiers", "shooting star", "K-line pattern".
Design measurement frameworks including event taxonomy, KPI hierarchy, dashboard architecture, attribution models, and analytics implementation strategy. Use this skill whenever the user wants to plan analytics, design dashboards, build event taxonomies, define KPIs, set up tracking, or audit existing measurement. Triggers on analytics strategy, measurement plan, event taxonomy, tracking plan, KPI framework, dashboard design, north star metric, attribution model, conversion tracking, GA4 setup, Mixpanel setup, analytics audit. Also triggers when the user has data but no clear way to use it, or wants to make decisions but doesn't know what to track.
Extract product development and pipeline updates from earnings calls, including clinical trial progress, regulatory submissions, and launch timelines.
Retrieve analyst financial estimates including Revenue and EPS projections with low/high ranges and analyst coverage. Use when analyzing forward expectations, consensus estimates, valuation inputs, or comparing projections to historical performance.
Retrieve ESG benchmark comparison metrics by sector using Octagon MCP. Use when comparing ESG performance across industries, analyzing sector-level sustainability benchmarks, identifying ESG leaders and laggards by industry, or referencing frameworks like MSCI, S&P Global, CDP, and CSRD.
Retrieve market capitalization data for a single company using Octagon MCP. Use when you need the current market value, valuation context, or size classification for any publicly traded stock.
Use this skill for MaxFrame SDK development on Alibaba Cloud MaxCompute (ODPS). Helps create data processing programs, read/write MaxCompute tables, debug jobs (remote or local), and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute, ODPS, DPE runtime, or need to work with ODPS tables, DataFrame operations, Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.
从智慧芽（PatSnap）查询专利被引用数据，包括被引用次数和引用专利详情。当用户提到专利被引用、被引分析、专利影响力、引用频次、专利家族被引、前向引用、想了解哪些专利引用了某一专利、patent citations, citation count, patent influence, citation analysis, PatSnap时触发此技能。即使用户未明确提及"智慧芽"或"PatSnap"，只要其需求涉及查询某专利被引用次数或被哪些专利引用，也应触发此技能。