AgentSkillsCN

fetching-dbt-docs

适用于获取 dbt 文档、查询 dbt 功能,或解答关于 dbt Cloud、dbt Core 或 dbt 语义层的问题时使用。

SKILL.md
--- frontmatter
name: fetching-dbt-docs
description: Use when fetching dbt documentation, looking up dbt features, or answering questions about dbt Cloud, dbt Core, or the dbt Semantic Layer
user-invocable: false
metadata:
  author: dbt-labs

Fetch dbt Docs

Overview

dbt docs have LLM-friendly URLs. Always append .md to get clean markdown instead of HTML.

URL Pattern

Browser URLLLM-friendly URL
https://docs.getdbt.com/docs/dbt-cloud-apis/service-tokenshttps://docs.getdbt.com/docs/dbt-cloud-apis/service-tokens.md
https://docs.getdbt.com/reference/commands/runhttps://docs.getdbt.com/reference/commands/run.md

Quick Reference

ResourceURLUse Case
Single pageAdd .md to any docs URLFetch specific documentation
Page indexhttps://docs.getdbt.com/llms.txtFind all available pages
Full docshttps://docs.getdbt.com/llms-full.txtSearch across all docs (filter by keyword first)

Fetching a Single Page

code
WebFetch: https://docs.getdbt.com/docs/path/to/page.md

Always add .md to the URL path.

Finding Pages

Step 1: Search the Index First

Use llms.txt to search page titles and descriptions:

code
WebFetch: https://docs.getdbt.com/llms.txt
Prompt: "Find pages related to [topic]. Return the URLs."

This is fast and usually sufficient.

Step 2: Search Full Docs (Only if Needed)

If the index doesn't have results, use the script to search full page content:

bash
~/.claude/skills/fetch-dbt-docs/search-dbt-docs.sh <keyword>

# Examples
~/.claude/skills/fetch-dbt-docs/search-dbt-docs.sh semantic_model
~/.claude/skills/fetch-dbt-docs/search-dbt-docs.sh "incremental strategy"
~/.claude/skills/fetch-dbt-docs/search-dbt-docs.sh metric dimension  # OR search

# Force fresh download (bypass 24h cache)
~/.claude/skills/fetch-dbt-docs/search-dbt-docs.sh metric --fresh

Then fetch individual pages with .md URLs.

Common Mistakes

MistakeFix
Fetching HTML URL without .mdAlways append .md to docs URLs
Searching llms-full.txt firstSearch llms.txt index first, only use full docs if no results
Loading llms-full.txt entirelyUse the search script to filter, then fetch individual pages
Guessing page pathsUse llms.txt index to find correct paths