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release-dbt-mcp

Release a new version of dbt-mcp to PyPi

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=dbt-labs-dbt-mcp-claude-skills-release-dbt-mcp-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name release-dbt-mcp description Release a new version of dbt-mcp to PyPi disable-model-invocation true Initiate the Create release PR GitHub workflow. Use the auto for the bump input. Don't set the prerelease input. 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-mcp workflow. 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-mcp workflow. 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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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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