菜单
Use when generating GitHub Actions workflows for dbt, adding dbt build/test/docs steps, or configuring state-based selection with --select state:modified+. Provides templates for both full builds (CD) and incremental builds (CI).
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基于 SOC 职业分类
| name | dbt-ci |
| description | Use when generating GitHub Actions workflows for dbt, adding dbt build/test/docs steps, or configuring state-based selection with --select state:modified+. Provides templates for both full builds (CD) and incremental builds (CI). |
Use for production baseline workflows where you build everything:
If uv:
- name: Run dbt
run: |
uv run dbt deps
uv run dbt build --target {TARGET}
uv run dbt docs generate --target {TARGET}
If pip:
- name: Run dbt
run: |
source .venv/bin/activate
dbt deps
dbt build --target {TARGET}
dbt docs generate --target {TARGET}
Use --state for state-based selection when comparing against a baseline:
If uv:
- name: Run dbt (modified models only)
run: |
uv run dbt deps
uv run dbt build --target {TARGET} --select state:modified+ --state {STATE_PATH}
uv run dbt docs generate --target {TARGET} --select state:modified+ --state {STATE_PATH}
If pip:
- name: Run dbt (modified models only)
run: |
source .venv/bin/activate
dbt deps
dbt build --target {TARGET} --select state:modified+ --state {STATE_PATH}
dbt docs generate --target {TARGET} --select state:modified+ --state {STATE_PATH}
| Variable | Description | Example |
|---|---|---|
{TARGET} | dbt target/profile name | prod, ci, dev |
{STATE_PATH} | Path to baseline manifest for comparison | target-base |
state:modified - Only models with code changesstate:modified+ - Modified models + downstream dependencies+state:modified+ - Upstream + modified + downstreamRequires --state <path> pointing to a directory with baseline manifest.json.
state:modified+ in CI to only rebuild what changeddbt docs generate to create artifacts for comparison tools--target to your profiles.yml environment (prod, ci, dev)--state flagpython-uv-ci skill for Python/uv environment setup stepspython-pip-ci skill for Python/pip environment setup stepsrecce-cloud-ci skill for Recce Cloud upload/download stepsReview dbt model data changes using Recce. Triggers when: user asks to review data changes, check data impact, run recce review, validate model changes before committing, review a Recce Cloud PR session, connect MCP to a cloud session, pastes a GitHub PR / GitLab MR URL, or pastes a Recce Cloud session/launch URL for cloud-mode review.
Lightweight pre-commit verification for dbt model changes in the single-environment dev loop — when the user has a warehouse-connected dbt project but no `target-base/` artifacts. Triggers when: user asks to verify a model change, check whether an edit is safe to commit, sanity-check a filter/aggregation/join change without setting up a base environment, or asks for a quick risk read before running /recce-review. Uses Tier-1 evidence only — column lineage, AST analysis, and targeted current-env SQL probes. Routes to /recce-review when `target-base/` is fresh.
Automatically provide Recce guidance in dbt projects. Triggers when: working in dbt project directory, discussing PRs or data changes, after dbt command execution, or when user asks about data validation.
GitHub Actions workflow steps for Python projects using pip. Use this skill when generating CI workflows that need pip-based dependency installation with virtual environment.
GitHub Actions workflow steps for Python projects using uv. Use this skill when generating CI workflows that need uv-based dependency installation with virtual environment.