databricks-pipelines
Build batch and streaming data pipelines on Databricks using Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) in Python or SQL.
Identity proven by GitHub's verified organisation badge (databricks)
- Agents
- Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode
- License
- LicenseRef-Databricks (restricted)
- Pin
- e3df77bpinned Oct 9, 2026
- Context cost
- about 8,500 tokenswhen the skill loads
- GitHub stars
- 345on databricks/databricks-agent-skills
- Scripts
- None found
What it does
“Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL, including Auto CDC from event streams or periodic complete snapshots. Invoke BEFORE starting implementation.”
Generated summary from the skill's own text
Build batch and streaming data pipelines on Databricks using Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) in Python or SQL. The skill covers streaming tables, materialized views, Auto CDC for change data capture, Auto Loader for file ingestion, data quality expectations, and sinks for external outputs. Start here before implementing any pipeline logic.
When to use it
- Building incremental or streaming data pipelines from files, databases, or message buses
- Processing CDC feeds or periodic snapshots to track data changes
- Ingesting files from cloud storage or volumes with Auto Loader
- Applying data quality constraints to pipeline datasets
When not to
- Migrating existing DBR 14 or earlier pipelines without updating runtime versions
- Using batch-only aggregations on frequently changing source tables without serverless enabled
Install
Restricted license: install from the publisher's repository and read its terms.
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add databricks/databricks-agent-skills --skill databricks-pipelinesInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install databricks/databricks-agent-skills databricks-pipelines@e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6Installs the commit we checked (e3df77b).
Copy by hand
Download the folder at e3df77b and put it in .claude/skills/databricks-pipelines for Claude Code and in .agents/skills/databricks-pipelines for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Claude Code plugin
/plugin install databricks@claude-plugins-officialThe publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "databricks-pipelines" by Databricks. Source, pinned to commit e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6: https://github.com/databricks/databricks-agent-skills/tree/e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6/plugins/databricks/claude/skills/databricks-pipelines 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/databricks-pipelines/ for Claude Code and .agents/skills/databricks-pipelines/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Its license is restricted or not stated. Show me the license terms from the repository before you copy anything. Listing and checks: https://www.agentnative.dev/skills/databricks/databricks-pipelines
SKILL.md at the pin
The license of this skill does not let us show its files here.
Files
- SKILL.md35 KB · bfc8dcff6ba5
- agents/
- openai.yaml300 B · 92845e3f025b
- assets/
- databricks.png15 KB · 06873c31ebda
- databricks.svg582 B · 00e528e4d5e6
- references/
- 1-project-initialization-with-dab.md9.7 KB · d080281f838b
- 2-rapid-iteration-with-cli.md7.6 KB · 35fb333be5ff
- auto-cdc-python.md5.4 KB · 706ea8429907
- auto-cdc-sql.md8.8 KB · 92791778c923
- auto-loader-python.md3.9 KB · bcbec4e207b1
- auto-loader-sql.md2.2 KB · 994d58003a26
- dlt-migration.md6.2 KB · d1d391027604
- expectations-python.md2.9 KB · e6a08671d493
- expectations-sql.md3.5 KB · dbb60f0105dc
- foreach-batch-sink-python.md3.2 KB · 4d8997147638
- kafka.md5.9 KB · 8d0ef922204e
- materialized-view-python.md3.6 KB · e48950d7ef17
- materialized-view-sql.md3.9 KB · 7ed43c0ec8b4
- options-avro.md261 B · 6cf08ede4bf6
- options-csv.md1.5 KB · a83023ad7a3d
- options-json.md1.3 KB · 5ed3f7f87f25
- options-orc.md100 B · 24494531ba6b
- options-parquet.md264 B · 9d99fd3d517e
- options-text.md143 B · 1a2f1a9b501e
- options-xml.md1.1 KB · dea7b75eb149
- performance.md8.7 KB · f325bb5016cc
- pipeline-configuration.md12 KB · 3935d6ec6c71
- python-basics.md2.9 KB · b63977d8a211
- real-time-mode.md12 KB · e813eef62df6
- scd-2-querying.md6.0 KB · 4b03412d3cd4
- sink-python.md3.0 KB · c9fa865c949a
- sql-basics.md3.3 KB · 954962cc88d5
- streaming-patterns.md10 KB · e37b637aa120
- streaming-table-python.md5.5 KB · 1a4c80e1a301
- streaming-table-sql.md5.6 KB · 3d5f4edb340f
- temporary-view-python.md1.5 KB · ff718fa8c331
- temporary-view-sql.md1.8 KB · a4f1f32e3af5
- view-sql.md1.4 KB · ee9e52dbc25a
37 files, 197 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
Skill folder on GitHub at e3df77bAlso in
The same SKILL.md content appears in these places too. We list it once and credit the oldest public source.
- databricks/databricks-agent-skills/plugins/databricks/codex/skills/databricks-pipelines
- databricks/databricks-agent-skills/plugins/databricks/copilot/skills/databricks-pipelines
- databricks/databricks-agent-skills/plugins/databricks/cursor/skills/databricks-pipelines
- databricks/databricks-agent-skills/skills/databricks-pipelines
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