dbt-labs - 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.
Release Dbt MCP by dbt-labs · 934ff3c
npx skillmds@latest add dbt-labs/release-dbt-mcp File contents
---name: release-dbt-mcpdescription: Release a new version of dbt-mcp to PyPi---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.
dbt-labs/dbt-mcp/tree/main/.claude/skills/release-dbt-mcp commit 934ff3cb3d
Frequently asked questions
Run npx skillmds@latest add dbt-labs/release-dbt-mcp in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.
Release a new version of dbt-mcp to PyPi It is listed under AI & ML on SkillMD.
This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.
This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.
Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.
dbt-labs (@dbt-labs) published this skill. Their other Agent Skills are listed on their SkillMD profile.