Total 50,359 skills, Data Processing has 2556 skills
Showing 12 of 2556 skills
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。
从智慧芽获取翻译后的专利说明书（描述）文本。当用户要求专利说明书翻译、其他语言的专利全文、翻译后的专利全文，或想查看中文、英文、日文版的专利说明书、patent specification translation, patent description translation, PatSnap, patent translation时触发此技能。当用户提供专利ID或公开号并要求获取其他语言的说明书/描述内容，或提到"专利说明书翻译"、"描述翻译"、"翻译全文"等类似意图时也应触发。
从Eureka专利数据库查询专利权利要求（Claims）信息。当用户提到专利权利要求、权利要求书、专利Claims、独立权利要求、从属权利要求、权利要求数量、专利保护范围、patent claims, claim data, independent claims, dependent claims, claim count, patent claim text, patent protection scope, Eureka patent claims时触发此技能。即使用户未明确提及"Eureka"或"权利要求"，只要其需求涉及获取专利的权利要求全文或权利要求数量，也应触发此技能。
从智慧芽专利数据库查询专利的前向引用详情。当用户询问专利引用、被引用专利、引用文献、专利参考文献、前向引用、在先技术引用或想查看特定专利在申请过程中引用了哪些专利、非专利文献、patent cited references, forward citations, patent references, citation analysis, PatSnap时触发此技能。当用户提供专利ID或公开号并需要引用信息时，即使未明确说"前向引用"，任何关于专利引用了哪些参考文献的请求都适用。
Explain AQL queries and their results, and provide data insights. Use this whenever the user asks what a query does, wants to understand results, or needs to dig deeper into why a metric changed.
Implement TrueSkill rating system for multiplayer and team-based competitive ranking. Use this skill when the user needs to rate players in team games, handle multiplayer (non-1v1) matchups, or build a matchmaking system with uncertainty tracking — even if they say 'team rating system', 'multiplayer ranking', or 'matchmaking rating'.
When the user wants to solve strip packing problems, pack items into fixed-width strips, or minimize packing height. Also use when the user mentions "strip packing," "cutting stock with fixed width," "ribbon packing," "shelf packing," "minimize height packing," or "2D strip packing problem." For general 2D packing, see 2d-bin-packing. For 3D packing, see 3d-bin-packing.
When the user wants to cut 1D materials optimally, minimize waste in linear cutting, or solve one-dimensional cutting stock problems. Also use when the user mentions "1D cutting," "linear cutting optimization," "rod cutting," "pipe cutting," "beam cutting," "trim loss," "cutting stock problem," "pattern generation," or "column generation for cutting." For 2D problems, see 2d-cutting-stock. For general trim loss, see trim-loss-minimization.
When the user wants to optimize food and beverage supply chains, manage perishability, ensure food safety, or handle retail distribution. Also use when the user mentions "food supply chain," "beverage distribution," "HACCP," "food safety," "perishable logistics," "shelf life management," "FEFO," "farm to fork," "CPG distribution," "grocery supply chain," or "fresh produce logistics." For retail allocation, see retail-allocation. For promotional planning, see promotional-planning.
Guide for using molt verify to compare source and target databases for schema and row-level consistency after a migration. Use when running verify commands, tuning concurrency/sharding, handling schema mismatches, or validating data integrity post-migration.