Developer tool
dbt agent skills for Claude Code, Codex and other agents.
- skills
- 94
- official
- 11
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- Developer tool
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dbt skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
Official (11 skills)
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses for an open dbt-databricks pull request, including your own PR or a fork PR, to assess merge readiness and optionally repair selected gaps on the PR head branch. | databricks/ | 379 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | today |
| 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 | 7 days ago |
| 3 | Specialized skill for diagnosing and fixing software defects in the repository. | dbt-labs/ | 117 | — | ~269 | Automated safety check: Pass | MIT | yesterday |
| 4 | Translates Snowflake dbt SQL models into standardized BigQuery SQL, keeping Jinja constructs and tracking progress in a migration tasks file. | google/ | 21k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | today |
| 5 | Build reusable revenue models — MRR, ARR, gross revenue, new/expansion/contraction/churn, ARPU, LTV, and per-customer/per-account revenue — on either PostHog data-warehouse views (HogQL) or an… | PostHog/ | 721 | — | ~1.9k | Automated safety check: Pass | MIT | today |
| 6 | Adds and runs data quality checks (dbt-test style assertions) on a project's warehouse tables and saved-query views, and HogQL catalog metrics: not-null, uniqueness, accepted values, referential… | PostHog/ | 721 | — | ~2.8k | Automated safety check: Pass | MIT | today |
| 7 | Build reusable activation models — an activation-rate metric and a per-user/per-account activated flag — on either PostHog data-warehouse views (HogQL) or an external dbt project. | PostHog/ | 721 | — | ~1.4k | Automated safety check: Pass | MIT | today |
| 8 | Build reusable conversion models — funnel/step conversion rates, drop-off, and time-to-convert — on either PostHog data-warehouse views (HogQL) or an external dbt project. | PostHog/ | 721 | — | ~1.4k | Automated safety check: Pass | MIT | today |
| 9 | Build reusable dimension / lookup tables for a star schema — country/region, timezone, currency, date, plan/product, and other descriptive attributes — on either PostHog data-warehouse views (HogQL)… | PostHog/ | 721 | — | ~1.3k | Automated safety check: Pass | MIT | today |
| 10 | Build reusable product-usage and engagement models — retention, stickiness, and lifecycle — on either PostHog data-warehouse views (HogQL) or an external dbt project. | PostHog/ | 721 | — | ~1.3k | Automated safety check: Pass | MIT | today |
| 11 | Shared foundations for building reusable data models in PostHog, on either of two stacks: PostHog-native data-warehouse views / materialized views (HogQL, via the view- MCP tools), or an external… | PostHog/ | 721 | — | ~2.1k | Automated safety check: Pass | MIT | today |
Community
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 12 | Cut a dbt-materialize PyPI release: bump the version in version.py and setup.py, date the Unreleased CHANGELOG entry, and open the release PR with a Ship: <url body. | MaterializeInc/ | 6.4k | — | ~1.2k | Automated safety check: Pass | Unknown | today |
| 13 | Define implementation contracts (APIs and data models) that developers will build against during PRD v0.6 Architecture. | mattgierhart/ | 179 | 1 repo | ~3.4k | Automated safety check: Pass | MIT | 1 mo ago |
| 14 | Friendly, step-by-step setup for ERD Studio in an existing dbt project, for people who may be new to dbt or data modelling. | liam-machine/ | 165 | — | ~8.5k | Automated safety check: Pass | Unknown | 3 days ago |
| 15 | 15.PR Verify Verify a Docglow change actually works before submitting or merging a PR. | docglow/ | 147 | — | ~1.5k | Automated safety check: Pass | MIT | 10 days ago |
| 16 | Guide for migrating Dagster projects to Apache Airflow 3 on Astro. | astronomer/ | 450 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 17 | Refreshes dbt artifact schemas from dbt-labs/dbt-core and regenerates Pydantic parser classes. | yu-iskw/ | 118 | — | ~716 | Automated safety check: Pass | Apache-2.0 | 13 days ago |
| 18 | 18.Modeler Build, validate, and manage semantic models using Sidemantic. | sidequery/ | 129 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | today |
| 19 | Analyzes a dbt project and suggests dbt-bouncer checks that already pass (for existing projects) or a sensible starter config (for greenfield projects). | godatadriven/ | 135 | — | ~1k | Automated safety check: Pass | MIT | 2 days ago |
| 20 | Bumps the dbt-artifacts-parser package semver, prepares a PyPI release, and aligns GitHub Releases with version. | yu-iskw/ | 118 | — | ~700 | Automated safety check: Pass | Apache-2.0 | 13 days ago |
| 21 | Delegates dbt and warehouse tasks such as lineage, migrations and cost attribution to the altimate-code CLI agent and relays its answer back. | AltimateAI/ | 127 | — | ~1.4k | Automated safety check: Pass | MIT | 5 days ago |
| 22 | Deploys Airflow DAGs and projects. An agent skill from astronomer/agents. | astronomer/ | 450 | 1 repo | ~2.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 23 | World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure. | benchflow-ai/ | 1.8k | — | ~5.9k | Automated safety check: Pass | MIT | 2 mo ago |
| 24 | Sets up data quality checks with Great Expectations, dbt tests and data contracts, with checkpoints and pass-fail reports for pipelines. | wshobson/ | 40k | 10 repos | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 25 | 25.New Check Scaffold a new dbt-bouncer check class with tests. An agent skill from godatadriven/dbt-bouncer. | godatadriven/ | 135 | — | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 26 | Creates or modifies dbt models in line with a project's own conventions, then runs dbt build and dbt show to check the output instead of stopping at compile. | AltimateAI/ | 127 | — | ~890 | Automated safety check: Pass | MIT | 5 days ago |
| 27 | Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. | wshobson/ | 40k | 8 repos | ~781 | Automated safety check: Pass | MIT | 2 days ago |
| 28 | Walks through fixing dbt compilation, database and test errors: read the full error, check upstream models, apply a fix, then verify with dbt build and a data preview. | AltimateAI/ | 127 | — | ~1.1k | Automated safety check: Pass | MIT | 5 days ago |
| 29 | Regenerate dbt test fixtures after dbtproject changes. An agent skill from godatadriven/dbt-bouncer. | godatadriven/ | 135 | — | ~399 | Automated safety check: Pass | MIT | 2 days ago |
| 30 | Analytics engineering across data modeling, dbt, transformation, and semantic layers. | borghei/ | 874 | — | ~3.4k | Automated safety check: Pass | MIT | today |
| 31 | Helps choose an incremental strategy, design a reliable unique_key and debug failing dbt incremental models, and says when a plain table is the better choice. | AltimateAI/ | 127 | — | ~2.3k | Automated safety check: Pass | MIT | 5 days ago |
| 32 | Writes model and column descriptions in dbt schema.yml files, matching the project's existing documentation style and recording grain, business rules and caveats. | AltimateAI/ | 127 | — | ~1.2k | Automated safety check: Pass | MIT | 5 days ago |
| 33 | Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. | alirezarezvani/ | 28k | 3 repos | ~1.4k | Automated safety check: Pass | MIT | 1 mo ago |
| 34 | Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. | davila7/ | 32k | 7 repos | ~2.8k | Automated safety check: Pass | MIT | today |
| 35 | Converts legacy SQL to modular dbt models. An agent skill from AltimateAI/data-engineering-skills. | AltimateAI/ | 127 | — | ~762 | Automated safety check: Pass | MIT | 5 days ago |
| 36 | World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. | davila7/ | 32k | 1 repo | ~1.4k | Automated safety check: Pass | MIT | today |
| 37 | Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI. | Kilo-Org/ | 189 | 1 repo | ~3.1k | Automated safety check: Pass | Unknown | 8 days ago |
| 38 | Data pipelines, feature stores, and embedding generation for AI/ML systems. | ancoleman/ | 526 | 1 repo | ~3.5k | Automated safety check: Pass | MIT | 10 mo ago |
| 39 | Data pipeline expert for ETL, Apache Spark, Airflow, dbt, and data quality | RightNow-AI/ | 18k | — | ~847 | Automated safety check: Pass | Apache-2.0 | 3 mo ago |
| 40 | Generates SQL validation notebooks for dbt PR changes with before/after comparison queries. | sickn33/ | 47k | 1 repo | ~1.1k | Automated safety check: Pass | MIT | today |
| 41 | 41.Satori Clinically informed wisdom companion blending psychology and philosophy into a structured thinking partner | sickn33/ | 47k | 2 repos | ~620 | Automated safety check: Pass | MIT | today |
| 42 | Comprehensive Snowflake development assistant covering SQL best practices, data pipeline design (Dynamic Tables, Streams, Tasks, Snowpipe), Cortex AI functions, Cortex Agents, Snowpark Python, dbt… | sickn33/ | 47k | 2 repos | ~2.1k | Automated safety check: Pass | MIT | today |
| 43 | Safely refactors dbt models with downstream impact analysis. | AltimateAI/ | 127 | — | ~1.2k | Automated safety check: Pass | MIT | 5 days ago |
| 44 | Provide a lookup index of dbt models (BigQuery tables) to guide query writing against a data warehouse. | warpdotdev/ | 825 | — | ~915 | Automated safety check: Pass | MIT | 1 mo ago |
| 45 | A skill your agent uses when writing Snowflake SQL, building data pipelines with Dynamic Tables or Streams/Tasks, using Cortex AI functions, creating Cortex Agents, writing Snowpark Python… | alirezarezvani/ | 28k | — | ~3.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 46 | Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow). | ancoleman/ | 526 | — | ~3k | Automated safety check: Pass | MIT | 10 mo ago |
| 47 | You are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing. | aiskillstore/ | 430 | 8 repos | ~1.8k | Automated safety check: Pass | No licence | today |
| 48 | Adds schema tests and data quality validation to dbt models. | AltimateAI/ | 127 | — | ~1.1k | Automated safety check: Pass | MIT | 5 days ago |
Questions, answered from the data.
What is the best dbt skill?
Dbt Databricks PR Ready (official) from databricks/dbt-databricks ranks first of the 94 dbt skills listed here, with the highest score: its repository has 379 GitHub stars, its SKILL.md loads about 2.8k tokens and it passes the automated safety check with no findings. Next come Ade Bench Cross DB Tasks and Bug Fixer.
Is there an official dbt skill?
11 of the 94 dbt skills are official, published by the vendor's own GitHub organization: Dbt Databricks PR Ready, Ade Bench Cross DB Tasks, Bug Fixer, dbt Snowflake to BigQuery Translator, Modeling Revenue Metrics and 6 more.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.