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documenting-dbt-models记录 DBT 模型

Agent Skill

documenting-dbt-models 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

333

周安装

14

GitHub Stars

90

下载量

116
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:documenting-dbt-models(记录 DBT 模型)
来源仓库:https://github.com/altimateai/data-engineering-skills
仓库路径:skills/documenting-dbt-models
安装命令:
npx skills add https://github.com/altimateai/data-engineering-skills --skill documenting-dbt-models
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/altimateai/data-engineering-skills --skill documenting-dbt-models

简介

专门用于 dbt 数据模型文档化,强调业务逻辑、粒度与注意事项说明。

  • 需匹配项目现有 schema.yml 风格,提取描述长度、格式和信息组成模式。
  • 优先展示真实案例,确保文档与实际构建、测试和发布行为一致。
  • 通过 GitHub 安装,建议先分析现有文档结构再生成新条目。
  • documenting-dbt-models 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

dbt Documentation

Document the WHY, not just the WHAT. Include grain, business rules, and caveats.

Workflow

1. Study Existing Documentation Patterns

CRITICAL: Match the project's documentation style before adding new docs.

# Find all schema.yml files with documentation
find . -name "schema.yml" | head -5

# Read well-documented models to learn patterns
cat models/marts/schema.yml | head -150
cat models/staging/schema.yml | head -150

Extract from existing documentation:

  • Description length (brief vs detailed)
  • Formatting style (plain text vs markdown with headers)
  • Information included (grain? business rules? caveats?)
  • Column description depth (all columns vs key columns)
  • Use of meta tags or custom properties

2. Read Model SQL

cat models/<path>/<model_name>.sql

Understand: transformations, business logic, joins, filters.

3. Check Existing Documentation for This Model

# Find existing schema.yml
find . -name "schema.yml" -exec grep -l "<model_name>" {} \;

# Read existing docs
cat models/<path>/schema.yml | grep -A 100 "<model_name>"

4. Identify Documentation Needs

For each model, document:

  • Model description: Purpose, grain, key business rules
  • Column descriptions: Business meaning, not just data type

For each column, consider:

  • What business concept does this represent?
  • Are there any caveats or special values?
  • What is the source of this data?

5. Write Documentation

Match the style discovered in step 1. Example format (adapt to project):

version: 2

models:
  - name: orders
    description: |
      Order transactions at the order line item grain.
      Each row represents one product in one order.

      **Business Rules:**
      - Revenue recognized on ship_date, not order_date
      - Cancelled orders excluded (status != 'cancelled')
      - Returns processed as negative line items

      **Grain:** One row per order_id + product_id combination

    columns:
      - name: order_id
        description: |
          Unique identifier for the order.
          Source: orders.id from Stripe webhook

      - name: customer_id
        description: |
          Foreign key to customers table.
          NULL for guest checkouts (pre-2023 only)

      - name: revenue
        description: |
          Net revenue for this line item in USD.
          Calculation: unit_price * quantity - discount_amount
          Excludes tax and shipping

      - name: order_status
        description: |
          Current status of the order.
          Values: pending, processing, shipped, delivered, cancelled, returned

6. Generate Docs

dbt docs generate
dbt docs serve  # Optional: preview locally

Documentation Patterns

Note: These are default templates. Always adapt to match project's existing style.

Model Description Template

description: |
  [One sentence: what this model contains]

  **Grain:** [What does one row represent?]

  **Business Rules:**
  - [Key rule 1]
  - [Key rule 2]

  **Caveats:**
  - [Important limitation or edge case]

Column Description Patterns

Column TypeDocumentation Focus
Primary keySource system, uniqueness guarantee
Foreign keyWhat it joins to, NULL handling
MetricCalculation formula, units, exclusions
DateTimezone, what event it represents
Status/CategoryAll possible values, business meaning
Boolean/FlagWhat true/false means in business terms

Documenting Calculated Fields

- name: gross_margin
  description: |
    Gross margin percentage.
    Calculation: (revenue - cogs) / revenue * 100
    NULL when revenue = 0 to avoid division by zero

Anti-Patterns

  • Adding documentation without checking existing project patterns
  • Using different formatting style than existing documentation
  • Describing WHAT (e.g., "The order ID") instead of WHY/context
  • Missing grain documentation
  • Not documenting NULL handling
  • Leaving columns undocumented
  • Copy-pasting column names as descriptions

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.62%
按下载量换算40

Claude

31.77%
按下载量换算37

Cursor

19.54%
按下载量换算23

Gemini CLI

8.91%
按下载量换算10

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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