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shapris
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fetching-dbt-docs

Fetch dbt documentation pages as markdown and search by keyword.

Updated Mar 22, 2026
Search Tags:#documentation#markdown#llm#search#dbt#knowledge#docs
One-click install
npx skills add https://github.com/shapris/svarus-darbas --skill fetching-dbt-docs-shapris
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fetching-dbt-docs
Source: https://github.com/shapris/svarus-darbas/tree/main/.kilocode/skills/dbt/skills/fetching-dbt-docs
Command: npx skills add https://github.com/shapris/svarus-darbas --skill fetching-dbt-docs-shapris

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Retrieves and indexes dbt documentation pages for AI-assisted lookup, enabling faster access to dbt Cloud, Core, and Semantic Layer information.

Core Features & Use Cases

  • LLM-friendly markdown retrieval of dbt docs for seamless AI processing
  • Fast lookup of specific pages via .md URLs and an index-based search
  • Use Case: Answer questions about dbt features, APIs, or workflows by fetching relevant docs and summarizing key points

Quick Start

Run the search-dbt-docs.sh script with a keyword to fetch matching dbt documentation pages

Frequently Asked Questions about fetching-dbt-docs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fetch dbt documentation in markdown format for LLM processing?▼

You can retrieve dbt docs in markdown by appending a .md suffix to documentation URLs. The Skill fetches and caches these pages, returning machine-friendly markdown content optimized for AI workflows.

Can I search across dbt Cloud, Core, and Semantic Layer docs with keywords?▼

Yes, you can search across dbt Cloud, Core, and Semantic Layer documentation using a script-based search. It returns relevant page URLs based on your input keywords for quick lookup and cross-referencing.

What is the best way to let an LLM answer questions about dbt APIs and features?▼

The best way is to fetch relevant dbt documentation pages as markdown and pass them to the LLM. This Skill retrieves and caches dbt docs, enabling the model to summarize key points about APIs and features.

Does the dbt docs search tool cache results for repeated lookups?▼

Yes, the dbt docs search tool caches fetched documentation results. This allows for quick subsequent lookups of the same pages without repeatedly requesting the source documentation site.

How do I find specific dbt workflow or API pages without browsing the full site?▼

Run the search-dbt-docs script with a keyword related to the dbt workflow or API. It searches an indexed collection of dbt Cloud, Core, and Semantic Layer pages and returns the matching URLs.

Are there limitations to using markdown retrieval for dbt Semantic Layer documentation?▼

The markdown retrieval covers dbt Cloud, Core, and Semantic Layer documentation. It relies on appending .md suffixes to URLs, so any documentation pages not supporting markdown suffixes may not be retrievable.

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