Use when fetching dbt documentation, looking up dbt features, or answering questions about dbt Cloud, dbt Core, or the dbt Semantic Layer
Install with Tessl CLI
npx tessl i github:dbt-labs/dbt-agent-skills --skill fetching-dbt-docs86
Quality
81%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
dbt docs have LLM-friendly URLs. Always append .md to get clean markdown instead of HTML.
| 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 |
| 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) |
WebFetch: https://docs.getdbt.com/docs/path/to/page.mdAlways add .md to the URL path.
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.
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 --freshImportant: Replace <SKILL_BASE_DIR> with the actual base directory path provided when this skill is loaded.
Then fetch individual pages with .md URLs.
| 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 |
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