Skill: BigQuery Basics
by Google
Google's official BigQuery skill — datasets, tables, jobs and SQL from the bq CLI, plus the reference set for IAM, Terraform, change history and continuous queries.
Tinybird's own datafile and SQL rules for coding agents — datasources, pipes, endpoints, materialized views, deduplication and query optimisation.
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The official agent skill from the Tinybird team, covering how to write and review the datafiles a Tinybird project is made of.
Tinybird projects are defined in plain text — .datasource, .pipe and .connection files that tb deploy pushes to Tinybird Cloud. That makes them exactly the kind of artefact a coding agent will happily generate, and exactly the kind where a small mistake (the wrong engine, an unfiltered join in a materialized view, a template parameter handled loosely) shows up as a slow endpoint or a wrong number rather than a syntax error.
The skill loads Tinybird's house rules for each file type and for the SQL inside them: MergeTree by default and AggregatingMergeTree for materialized targets; filter early and select only the columns you need; push expensive work later in the pipeline; SELECT-only SQL with strict parameter handling in Tinybird's templating syntax. It carries fourteen focused rule files an agent pulls in on demand — project layout, build and deploy, each datafile type, materialized-view join prefiltering, endpoint optimisation, tests and deduplication patterns — plus the local-versus-cloud distinction that trips people up (tb sql and tb logs default to local unless --cloud or --branch is passed, and dev_mode in tinybird.config.json decides the build target).
Use it whenever an agent is creating or refactoring Tinybird resources, designing an endpoint schema, or reviewing a project's SQL.
by Google
Google's official BigQuery skill — datasets, tables, jobs and SQL from the bq CLI, plus the reference set for IAM, Terraform, change history and continuous queries.
Run SQL — or a plain-English question — against DuckDB databases, CSV, Parquet, JSON and Excel files, with schema inspection and error recovery built in.
by ClickHouse Inc
ClickHouse's official agent skill: 31 rules for primary keys, data types, JOINs, batching and partitioning that an agent must check and cite before advising on a schema or query.
by .NET Team at Microsoft
Make slow Entity Framework Core queries fast — read the generated SQL first, fix N+1s, cartesian Include explosions and non-sargable predicates, then re-measure one change at a time.