Authors and runs SQLMesh - data-transformation framework with version control, virtual data environments, automatic breaking-vs-non-breaking change classification, and downstream impact analysis; supports `sqlmesh init` / `plan` / `apply` / `run` / `audit` / `test` lifecycle; covers DuckDB, Postgres, Snowflake, BigQuery, Redshift, Databricks. Use when the user works with SQL data pipelines (warehouse + dbt-adjacent ELT), needs safer model evolution than dbt's deploy-and-pray, or wants the strongest impact-analysis story in the OSS data tooling space.
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{
"name": "testland/sqlmesh-migrations",
"version": "1.2.6",
"summary": "Authors and runs SQLMesh - data-transformation framework with version control, virtual data environments, automatic breaking-vs-non-breaking change classification, and downstream impact analysis; supports `sqlmesh init` / `plan` / `apply` / `run` / `audit` / `test` lifecycle; covers DuckDB, Postgres, Snowflake, BigQuery, Redshift, Databricks. Use when the user works with SQL data pipelines (warehouse + dbt-adjacent ELT), needs safer model evolution than dbt's deploy-and-pray, or wants the strongest impact-analysis story in the OSS data tooling space.",
"private": false,
"skills": {
"sqlmesh-migrations": {
"path": "SKILL.md"
}
}
}