Skills 导航
浏览和发现最好用的 AI Agent Skills,按 GitHub 仓库分类展示
找到 21 个 Skills
浏览和发现最好用的 AI Agent Skills,按 GitHub 仓库分类展示
找到 21 个 Skills
by alirezarezvani
把需求梳理成关系型数据库表结构,自动生成迁移脚本、TypeScript/Python 类型、种子数据、RLS 策略和索引方案,适合多租户、审计追踪、软删除等后端建模与 Schema 评审场景。
✎ 把数据库结构设计、ER图梳理和SQL建模放到一处,复杂业务也能快速统一数据模式,少走不少返工弯路。
by alirezarezvani
聚焦生产级数据工程,覆盖 ETL/ELT、批处理与流式管道、数据建模、Airflow/dbt/Spark 优化和数据质量治理,适合设计数据架构、搭建现代数据栈与排查性能问题。
✎ 复杂数据管道、ETL/ELT 和治理难题交给它,凭 Spark、Airflow、dbt 等现代数据栈经验,能更稳地搭起可扩展的数据基础设施。
by alirezarezvani
聚焦数据库 Schema 设计与演进,自动检查规范化、数据类型、约束和索引问题,生成 ERD,并为零停机迁移、数据变更和回滚提供可执行方案。
✎ 专注数据库设计与数据建模,帮你快速理清表结构和关系,减少后期返工,SQL 落地也更顺手。
by alirezarezvani
覆盖实验设计、特征工程、预测建模、因果推断与模型评估,适合用 Python/R/SQL 做 A/B 测试、时序分析和生产级 ML 落地,支撑数据驱动决策。
✎ 从 A/B 测试、因果分析到预测建模一条龙搞定,既有硬核统计方法也懂业务沟通,特别适合把数据结论真正落地。
by bytesagain
🤗 The largest hub of ready-to-use dataset-loader for AI models with fast, easy-to-use and efficient data m dataset-loader, python, ai.
by BytesAgain
Explore CSV and JSON files with quick queries, filters, and aggregation. Use when inspecting data, running queries, filtering rows, aggregating.
by BytesAgain
Split large files, run parallel processing, and stream batch analysis. Use when sampling datasets, aggregating logs, or transforming bulk data.
by 爪爪
闲鱼数据抓取技能。使用 Playwright + OCR 技术突破反爬虫,抓取闲鱼商品数据(标题、价格、想要人数等),自动上传截图和数据到 Gitee 仓库。支持批量关键词搜索、竞品分析、市场调研。
by bensema
该skill用于获取股票市场数据,包括实时行情、中文名称查询、键盘缩写转换、资金流向和日K线数据。使用thsdk库提供同花顺数据接口支持。支持自动将中文、缩写、短代码转换为thsdk所需的完整ths_code格式。当匹配到多只股票时,会返回候选列表供用户选择。如未安装thsdk,会自动安装。
by ckchzh
Browse and load ready-to-use AI/ML datasets with fast manipulation. Use when searching datasets, loading training data, transforming formats.
by BytesAgain
Azure Data Studio is a data management and development tool with connectivity to popular cloud and o azuredatastudio, typescript, azure, azure-data-studio, electron, microsoft, postgresql. Use when you need azuredatastudio capabilities. Triggers on: azuredatastudio.
by billybodean
Query Australian Bureau of Statistics (ABS) datasets via natural language and return data with citations. Use when: (1) the user asks about Australian economic indicators (CPI, inflation, GDP, wages, unemployment, retail trade, housing prices, job vacancies, population, births, deaths, migration, trade); (2) the user wants live ABS data or time series; (3) the user asks to compare ABS statistics across states, periods, or industries; (4) the user wants to visualise or export ABS data (chart, CSV, table); (5) any request referencing ABS catalogue numbers (e.g. 6401.0, 6202.0) or ABS dataset names. NOT for: Census DataPacks (use the census-database skill instead).
by bcwilsondotcom
Datadog observability via the official MCP Server — query logs, traces, metrics, monitors, incidents, dashboards, hosts, synthetics, and workflows through Datadog's remote MCP endpoint. Use when investigating production issues, checking monitor status, searching logs/traces, querying metrics timeseries, managing incidents, or listing dashboards and synthetic tests. Supports both remote (Streamable HTTP) and local (stdio) MCP transports. Requires DD_API_KEY and DD_APP_KEY.
by local
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by BytesAgain
Generate realistic fake data — names, emails, addresses — for testing and dev. Use when seeding databases, mocking API responses, creating sample records.
by bytesagain
🔥 人人可用的开源 BI 工具,数据可视化神器。An open-source BI tool alternative to Tableau. data-dashboard, java, apache-doris, business-intelligence, data-analysis.
by anderskev
Reviews SwiftData code for model design, queries, concurrency, and migrations. Use when reviewing .swift files with import SwiftData, @Model, @Query, @ModelActor, or VersionedSchema.
by BytesAgain
Database Design Helper - 数据库设计助手. Use when you need database design capabilities. Triggers on: database design.
by caesergattuso
Use for RAGFlow dataset and retrieval tasks: create, list, inspect, update, or delete datasets; list, upload, update, or delete documents in a dataset; start or stop parsing uploaded documents; check parser status through `parse_status.py`; and retrieve relevant chunks from RAGFlow datasets with `search.py`.
by daymade
从 yfinance 抓取美国上市公司股价、财报、WACC 参数和分析师预期,校验后输出带来源标注的标准化 JSON,适合 DCF、可比估值和财务分析前置取数。
✎ 做美股基本面分析时,它能从免费公开源一键抓取财务与市场数据,直接产出适配DCF和可比分析的结构化JSON,省去手工整理。
by giuseppe-trisciuoglio
梳理 Next.js App Router 数据获取最佳实践,涵盖 Server/Client 取数取舍、SWR/React Query 集成、并行请求、ISR 与缓存重验证,以及加载态和错误边界处理。