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DuckDB · Data warehousing
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Build interactive analytics webapps, demos, dashboards, or embedded app surfaces from Sidemantic semantic models using copyable component primitives and deterministic query inspection. | sidequery/ | 129 | — | ~5.5k | Automated safety check: Pass | AGPL-3.0 | 3 days ago |
| 2 | A skill your agent uses when authoring or debugging ade-bench tasks that must run on both DuckDB and Snowflake, including shared project migrations, setup patches, and solution patches | dbt-labs/ | 125 | — | ~2k | Automated safety check: Pass | Apache-2.0 | 11 days ago |
| 3 | 3.Modeler Build, validate, and manage semantic models using Sidemantic. | sidequery/ | 129 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 4 | Delegates dbt and warehouse tasks such as lineage, migrations and cost attribution to the altimate-code CLI agent and relays its answer back. | AltimateAI/ | 128 | — | ~1.4k | Automated safety check: Pass | MIT | 3 days ago |
| 5 | Answer analytical, KPI, metric, trend, cohort, and business-performance questions through a Sidemantic semantic layer. | sidequery/ | 129 | — | ~982 | Automated safety check: Pass | AGPL-3.0 | 3 days ago |
| 6 | Query the live/remote Snowflake warehouse instead of the local practice copy. | ai-analyst-lab/ | 304 | — | ~1.4k | Automated safety check: Notes | MIT | 10 days ago |
| 7 | Internal — for Boundless team members only. An agent skill from boundless-xyz/boundless. | boundless-xyz/ | 193 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 8 | Canonical rocky.toml authoring reference. An agent skill from rocky-data/rocky. | rocky-data/ | 304 | — | ~6.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 9 | Query Fabric lakehouse and warehouse data using DuckDB, either locally or inside a Fabric notebook. | data-goblin/ | 1k | — | ~1.2k | Automated safety check: Pass | GPL-3.0 | 4 days ago |
| 10 | A skill your agent uses when running a ClickHouse server for high-volume OLAP: choosing a MergeTree engine and ORDER BY/PARTITION BY keys, ingesting billions of event/log/metric rows… | ericrisco/ | 180 | — | ~2.9k | Automated safety check: Pass | MIT | yesterday |