release-dbt-mcp
por dbt-labs
Publicar una nueva versión de dbt-mcp en PyPi
npx skills add https://github.com/dbt-labs/dbt-mcp --skill release-dbt-mcp- Initiate the
Create release PRGitHub workflow. Use theautofor thebumpinput. Don't set theprereleaseinput. - Wait for this to start and then poll the status of this running workflow.
- 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. - Merging this PR will kick off the
Release dbt-mcpworkflow. - 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> - Ask the user to continue once they have approved the GitHub environment.
- Once the user continues, continue polling the status of the
Release dbt-mcpworkflow. - 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). - Report to the user the status of all GitHub workflows that ran and the status of the release.
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