在PostgreSQL中格式化数字显示,去除小数点后的尾随零,并在小数点后无数字时去除小数点。
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数据分析、机器学习、LLM 应用、提示词设计(8856 个)
在PostgreSQL中格式化数字显示,去除小数点后的尾随零,并在小数点后无数字时去除小数点。
中文简介正在准备中。当前显示原文说明。
Expert AI art prompt engineer for Midjourney and Stable Diffusion. Generates high-quality prompts including unified batch illustrations, marketing designs, interactive compositions, and structured framework prompts with translations.
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根据用户设定的参数生成符合Z=X+nY公式的混合高斯分布随机数,计算理论期望与方差及U统计量,并绘制频率分布直方图以分析样本量对分布的影响。
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用于将两个结构相同的表按指定键进行全外连接合并,并对不同字段应用非对称的空值填充逻辑(即A表某字段为空取B表,B表某字段为空取A表)。
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依据用户提供的特定规则执行MySQL数据库开发任务,涵盖命名约束、索引设计策略及海量数据归档方案。
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使用Fluentd的regexp插件解析MySQL慢查询日志,将其切分为时间、用户、查询时间和SQL内容四个字段,并配置字段长度限制以避免解析错误。
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用于生成MySQL应付账款统计查询,按到期时间(当前、1个月内、3个月内)分组统计金额,并确保时间范围互不重叠。
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在对具有多层索引的Pandas DataFrame进行分组计算时,确保返回的结果保留原始的完整索引结构,而不是仅保留分组键。
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针对Oracle SQL查询请求,仅输出纯文本SQL语句,不使用Markdown代码块,不提供任何解释,以避免终端显示乱码。
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根据指定的表拥有者和被授权用户,生成查询未被特定用户授权访问的数据表的SQL语句。
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编写MySQL函数,根据指定的日期范围和字段,按自然周汇总数据并返回特定格式的字符串结果。
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针对Pandas DataFrame,按行计算非空且非零元素的排名分位数,并返回该行每个元素对应的分位数值。用于数据标准化或特征工程。
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Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.
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Build a throwaway prototype to flesh out a design before committing to it. Routes between two branches — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route. Use when the user wants to prototype, sanity-check a data model or state machine, mock up a UI, explore design options, or says "prototype this", "let me play with it", "try a few designs".
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Operately frontend data fetching with TanStack Query. Use when adding or changing page loaders, model hooks, Api.* calls, mutations, useLoadedData, Pages.useRefresh, or any web UI backend request. New code must use TanStack. When fixing or extending an existing surface, migrate that surface's API calls to TanStack in the same change.
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Rules for Operately schema migrations (app/priv/repo/migrations/) and data migrations (app/lib/operately/data/change_*.ex). Use when adding, renaming, reviewing, or generating database migrations, ecto.gen.migration, Operately.Data.Change* modules, backfills, schema_migrations version collisions, mix ecto.migrate, or make gen.migration.
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Refine task prompts and propose controlled comparisons without claiming to change model settings or activate plugins. Use for this Bot Generator Bot template; creates drafts or simulations within its declared scope.
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Compose an image prompt with subject, composition and style layers while labeling unverified generator parameters. Use for this Bot Generator Bot template; creates drafts or simulations within its declared scope.
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Plans architecture migrations with compatibility, data safety, rollout and recovery; does not execute them.
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Build secure, reusable data access patterns with DTOs, taint checks, and colocated authorization in Next.js. Use when centralizing database queries, transforming raw data to DTOs, adding server-only guards, or preventing sensitive data from reaching Client Components.
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Implement Fetch API, Caching, and Revalidation strategies in Next.js. Use when fetching data, configuring cache behavior, or implementing revalidation in Next.js.
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Write idiomatic Kotlin 1.9+ with null safety, sealed classes, data classes, extension functions, delegates, collections, inline/reified generics, and expression syntax. Use for Kotlin language constructs, Java-to-Kotlin migration, lazy delegates, data classes, backing properties, or inline/reified generics; keep language constructs in scope even inside response models, and defer coroutine configuration, Android Context/framework, Retrofit/OkHttp client setup, and other library-specific recipes.
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Write performant Eloquent queries with eager loading, reusable scopes, and strict lazy-loading prevention in Laravel. Use when defining model relationships, creating query scopes, or processing large datasets with chunk/cursor.
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Implement local persistence with SwiftData, Core Data, and secure storage. Use when setting up SwiftData models, Core Data stacks, or local persistence in iOS.
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