upgrading-dbt-core
Use when a user wants to upgrade, update, or migrate a dbt-core project to a newer or the latest version — e.g. "upgrade my dbt project," "migrate this off dbt-core 1.5," "get this project running on the latest dbt," "bump the dbt-core version." Upgrades a dbt-core v1 project (on 1.3, 1.4, 1.5, 1.6, or 1.7) all the way to 1.12, applying the required breaking, behavior, and deprecated changes from a data-driven issue corpus — replaying each pre-1.8 version boundary in order, then pinning post-1.8 behavior-change flags — running dbt-autofix first, then agentic and human-in-the-loop fixes, and verifying with dbt parse on dbt-core 1.12. Inputs — starting_version (the project's current dbt-core minor, one of 1.3/1.4/1.5/1.6/1.7) and adapter_type (snowflake/redshift/bigquery/databricks/spark); both are normally supplied by the caller (e.g. the dbt VS Code extension), with fallbacks described in the skill.
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Run this command in your terminal. No account required — it auto-detects your AI tool and installs the skill file.
npx @skills-hub-ai/cli install dbt-labs-upgrading-dbt-coreSetup by platform
Install
One-click setup for your editorRun in your project root
npx @skills-hub-ai/cli install dbt-labs-upgrading-dbt-core --target claude-codeInstructions
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Browse category →Frequently asked questions about upgrading-dbt-core
What does the upgrading-dbt-core skill do?
Use when a user wants to upgrade, update, or migrate a dbt-core project to a newer or the latest version — e.g. "upgrade my dbt project," "migrate this off dbt-core 1.5," "get this project running on the latest dbt," "bump the dbt-core version." Upgrades a dbt-core v1 project (on 1.3, 1.4, 1.5, 1.6, or 1.7) all the way to 1.12, applying the required breaking, behavior, and deprecated changes from a data-driven issue corpus — replaying each pre-1.8 version boundary in order, then pinning post-1.8 behavior-change flags — running dbt-autofix first, then agentic and human-in-the-loop fixes, and verifying with dbt parse on dbt-core 1.12. Inputs — starting_version (the project's current dbt-core minor, one of 1.3/1.4/1.5/1.6/1.7) and adapter_type (snowflake/redshift/bigquery/databricks/spark); both are normally supplied by the caller (e.g. the dbt VS Code extension), with fallbacks described in the skill. It's a reusable SKILL.md instruction set that loads into your AI coding assistant on demand, no prompt engineering, no copy-pasting every session.
How do I install the upgrading-dbt-core skill?
Run `npx @skills-hub-ai/cli install dbt-labs-upgrading-dbt-core` from your terminal. The CLI writes the SKILL.md to the correct location for your AI tool (e.g. ~/.claude/skills/dbt-labs-upgrading-dbt-core/ for Claude Code or ~/.cursor/skills/ for Cursor with --target cursor) and adds it to your project's .skills.json lockfile.
Which AI tools does upgrading-dbt-core work with?
upgrading-dbt-core runs in Claude Code. It follows the open Agent Skills standard (SKILL.md), so the same skill works in every supported tool without modification.
Is the upgrading-dbt-core skill free?
Yes. Every skill on skills-hub.ai is free and open-source. There are no premium tiers, paywalls, or usage limits. You only pay for whatever AI assistant you're already using.
How do I use upgrading-dbt-core after installing it?
In Claude Code, type `/dbt-labs-upgrading-dbt-core` (or whatever slash command the skill registers) and the AI follows the skill's instructions immediately. You can also reference it by name in natural language, your AI loads the skill into context when relevant.
Can I share the upgrading-dbt-core skill with my team?
Yes. Commit your project's .skills.json lockfile and teammates run `npx @skills-hub-ai/cli install` (no args) to install every skill at the exact version you pinned. Organization-scoped installs work via skills-hub.ai organizations.