fetching-dbt-docs

📁 dbt-labs/dbt-agent-skills 📅 Jan 29, 2026
25
总安装量
30
周安装量
#7958
全站排名
安装命令
npx skills add https://github.com/dbt-labs/dbt-agent-skills --skill fetching-dbt-docs

Agent 安装分布

github-copilot 24
codex 22
opencode 21
kimi-cli 19
amp 19

Skill 文档

Fetch dbt Docs

Overview

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

URL Pattern

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

Quick Reference

Resource URL Use Case
Single page Add .md to any docs URL Fetch specific documentation
Page index https://docs.getdbt.com/llms.txt Find all available pages
Full docs https://docs.getdbt.com/llms-full.txt Search across all docs (filter by keyword first)

Fetching a Single Page

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:

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:

The search script is located at scripts/search-dbt-docs.sh relative to this skill’s base directory.

<SKILL_BASE_DIR>/scripts/search-dbt-docs.sh <keyword>

# Examples
<SKILL_BASE_DIR>/scripts/search-dbt-docs.sh semantic_model
<SKILL_BASE_DIR>/scripts/search-dbt-docs.sh "incremental strategy"
<SKILL_BASE_DIR>/scripts/search-dbt-docs.sh metric dimension  # OR search

# Force fresh download (bypass 24h cache)
<SKILL_BASE_DIR>/scripts/search-dbt-docs.sh metric --fresh

Important: Replace <SKILL_BASE_DIR> with the actual base directory path provided when this skill is loaded.

Then fetch individual pages with .md URLs.

Common Mistakes

Mistake Fix
Fetching HTML URL without .md Always append .md to docs URLs
Searching llms-full.txt first Search llms.txt index first, only use full docs if no results
Loading llms-full.txt entirely Use the search script to filter, then fetch individual pages
Guessing page paths Use llms.txt index to find correct paths