Individual skill
trino-dbt-query-performance
Optimizing dbt-generated SQL performance on Trino — ephemeral vs view vs table materialization trade-offs, CTE explosion patterns, partition-aware incremental filters (bounded watermarks), MERGE vs delete+insert strategy selection, avoiding full-refresh anti-patterns, query hints in dbt SQL (BROADCAST hint), dbt thread tuning, session_properties for dbt runs, ANALYZE post-hooks, incremental model design patterns for Iceberg, avoiding small file proliferation from frequent incremental runs
group_skills/trino_group_skills/trino_dbt_query_performance/SKILL.md
Source commit 75f49e7bf30c9908a0921911755abb6cc6c01f7b
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- Matches the observed repository HEAD
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- Skill scan complete
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- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
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Repository context
- Repository stars (not skill ratings)
- 24
- Repository last updated
- May 19, 2026
- License
- Not available
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- agent-skill Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- ai-agents-platform Repository topic
- data-skills Repository topic
- skills Repository topic
- ai-agentic-data-platform Repository topic
- design Derived category
- data Derived category
- data-databases Derived category
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