一组可重复使用的Cortex Code技能和复制粘贴提示，用于自动化Snowflake的数据工程工作流程。
概览
一组可重复使用的Cortex Code技能和复制粘贴提示，用于自动化Snowflake的数据工程工作流程。 复制粘贴提示分为两类——按角色或场景浏览。完整目录见recipes/README.md。 （配方/按角色分类）：数据工程师、分析工程师、数据分析师、AI-机器学习工程师、应用开发者、数据治理负责人、雪花管理员 技能是基于 markdown 的工作流程定义，教 Cortex Code 如何执行复杂、多步骤的任务。它们提供结构化的指导、工具参考、决策逻辑和用户检查点。 将技能或提示目录复制到你的全局文件夹中： 安装完成后，在 Cortex Code 中调用一项技能： 或者简单描述你需要什么——Cortex Code 会根据触发词为你的请求匹配到合适的技能。 提示词只需直接粘贴到 Cortex Code CLI 中即可。查看每个提示文件中的复制粘贴块和自定义技巧。
概述（AI 翻译）
一组可重复使用的Cortex Code技能和复制粘贴提示，用于自动化Snowflake的数据工程工作流程。
技能
| 技能 | 描述 | 触发词 |
|---|---|---|
| DBT模型生成器 | 从原始Snowflake表自动生成DBT维度模型（星型模式） | “生成DBT模型”、“向左移”、“维度模型”、“从RAW生成星型模式” |
| 开发者声音 | 从Reddit和社区论坛研究开发者真实情绪，然后综合成讲座、研究简报或基于实务者引言的竞争情报 | “开发者声音”、“社区脉动”、“Reddit研究”、“讨论轨道”、“开发者在说什么”、“痛点” |
| 了解你的数据 | 发现你在Snowflake账户中已有访问权限的数据，了解其中包含什么，并将其映射到你的角色 | “了解你的数据”、“了解我的数据”、“查找数据”、“数据发现”、“我可以访问什么”、“探索账户” |
| POC-builder | 用任何Snowflake指南、博客文章、文档链接或主题名称，从零到可用的POC。 |
本页由 AI 翻译，技术细节请以原文为准。
README
以下为原文 README 节选，完整内容请查看原文。
build-with-coco
A collection of reusable Cortex Code skills and copy-paste prompts for automating data engineering workflows on Snowflake.
Skills
| Skill | Description | Trigger Phrases |
|---|---|---|
| dbt-model-generator | Auto-generate dbt dimensional models (star schema) from raw Snowflake tables | “generate dbt models”, “shift left”, “dimensional model”, “star schema from raw” |
| developer-voice | Research real developer sentiment from Reddit and community forums, then synthesize into talk tracks, research briefs, or competitive intel grounded in practitioner quotes | “developer voice”, “community pulse”, “reddit research”, “talk track”, “what are developers saying”, “pain points” |
| know-your-data | Discover data you already have access to in a Snowflake account, understand what it contains, and map it to your roles | “know your data”, “know my data”, “find data”, “data discovery”, “what can I access”, “explore account” |
| poc-builder | Go from zero to a working POC with any Snowflake guide, blog post, doc link, or topic name. Deep-dives the content, extracts a demo spec, finds matching data in your account, and builds a working POC interactively | “poc builder”, “build this”, “zero to poc”, “try this”, “teach me”, “walk me through”, “prototype this”, “run this guide” |
| aws-glue-iceberg-setup | Set up AWS Glue as an Iceberg catalog for Snowflake — crawl S3 data, register tables, configure external volumes, and query via Iceberg | “glue iceberg”, “aws glue setup”, “iceberg from s3”, “external catalog”, “glue crawler” |
| data-quality-suite | Multi-framework DQ suite — set up quality checks, monitoring, and pipeline gates across Snowflake DMFs, dbt, Great Expectations, Soda Core, Snowpark, and PySpark. Fork customer-config.md to customize for your team |
“data quality”, “quality checks”, “quality gates”, “dbt tests”, “soda checks”, “great expectations”, “dq suite” |
Recipes
Copy-paste prompts in two categories — browse by role or by scenario. Full catalog in recipes/README.md.
By role (recipes/by-role/): data-engineer, analytics-engineer, data-analyst, ai-ml-engineer, app-developer, data-governance-lead, snowflake-admin
| Scenario | Prompts |
|---|
推荐工具
换一个关键词，或者移除筛选条件。
安装
npx skillfish add vinodhini-sd/build-with-coco