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release-dbt-mcp

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by dbt-labs · part of dbt-labs/dbt-mcp

Release a new version of dbt-mcp to PyPi

🔥✓ VerifiedFreeQuick setup
#git
🔒 Repo-maintenance skill. It exists to help maintain dbt-labs/dbt-mcp itself — it's only useful if you contribute code to that project.

This is the playbook your agent receives when the skill activates — you don't need to read it to use the skill, but it's here to audit before installing.

name: release-dbt-mcp description: Release a new version of dbt-mcp to PyPi disable-model-invocation: true

  1. Initiate the Create release PR GitHub workflow. Use the auto for the bump input. Don't set the prerelease input.
  2. Wait for this to start and then poll the status of this running workflow.
  3. Once it finishes successfully, approve & squash merge (gh pr merge --squash --admin) the PR that was created. This repo does not allow merge commits. This is an autogenerated PR, so it is okay to bypass CI. This is the only case that bypassing CI is okay.
  4. Merging this PR will kick off the Release dbt-mcp workflow.
  5. Wait for this to start and then poll the status of this running workflow. When the workflow waits for GitHub environment approval, open the page with open <url>
  6. Ask the user to continue once they have approved the GitHub environment.
  7. Once the user continues, continue polling the status of the Release dbt-mcp workflow.
  8. When that workflow has finished successfully. Ensure that the new version of dbt-mcp is on PyPI by checking the JSON API at https://pypi.org/pypi/dbt-mcp/json (the HTML page is JS-rendered and won't work with WebFetch).
  9. Report to the user the status of all GitHub workflows that ran and the status of the release.