Configure dbt source freshness for Orchestra state-aware orchestration — author warnafter/errorafter thresholds and loadedatfield/loadedatquery in a dbt project's sources YAML, getting the warehouse details right for Snowflake, BigQuery, Databricks, or MotherDuck/DuckDB, then enable usestateorchestration on the Orchestra dbt task. Use when asked to set up dbt source freshness, configure freshness checks, detect stale sources, set up state-aware orchestration in Orchestra, or make Orchestra skip downstream models when upstream data hasn't changed. Trigger on phrases like "add source freshness", "configure freshness", "set up state aware orchestration", "skip models when sources are stale", "loadedatfield", or "warnafter/errorafter" in a dbt or Orchestra context. This is the source/freshness-signal half of state-aware orchestration; configuring per-model rebuild SLAs (buildafter) is the separate configure-dbt-build-after skill.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
Configure dbt source freshness for Orchestra state-aware orchestration — author warnafter/errorafter thresholds and loadedatfield/loadedatquery in a dbt project's sources YAML, getting the warehouse details right for Snowflake, BigQuery, Databricks, or MotherDuck/DuckDB, then enable usestateorchestration on the Orchestra dbt task. Use when asked to set up dbt source freshness, configure freshness checks, detect stale sources, set up state-aware orchestration in Orchestra, or make Orchestra skip downstream models when upstream data hasn't changed. Trigger on phrases like "add source freshness", "configure freshness", "set up state aware orchestration", "skip models when sources are stale", "loadedatfield", or "warnafter/errorafter" in a dbt or Orchestra context. This is the source/freshness-signal half of state-aware orchestration; configuring per-model rebuild SLAs (buildafter) is the separate configure-dbt-build-after skill.
Quick start
Copy the install prompt. Use the green button above this README.
Send it to your agent. Paste it into your coding agent’s chat and send.
Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Configure dbt source freshness for Orchestra state-aware orchestration — author warn_after/error_after thresholds and loaded_at_field/loaded_at_query in a dbt project's sources YAML, getting the warehouse details right for Snowflake, BigQuery, Databricks, or MotherDuck/DuckDB, then enable use_state_orchestration on the Orchestra dbt task. Use when asked to set up dbt source freshness, configure freshness checks, detect stale sources, set up state-aware orchestration in Orchestra, or make Orchestra skip downstream models when upstream data hasn't changed. Trigger on phrases like "add source freshness", "configure freshness", "set up state aware orchestration", "skip models when sources are stale", "loaded_at_field", or "warn_after/error_after" in a dbt or Orchestra context. This is the source/freshness-signal half of state-aware orchestration; configuring per-model rebuild SLAs (build_after) is the separate configure-dbt-build-after skill.
About this listing
Category
General
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI