lakebase-scm-workflows

Installation
SKILL.md

lakebase-scm-workflows – agent contract

Agent-facing contract: operating rules (.env, git hooks, credential single-seam), concrete code patterns for each substrate primitive, and reference pointers.

For the human-facing overview (prerequisites, installation, prompts, journey, CLI cheat sheet) see README.md.

FIRST: load the parent databricks-lakebase skill for Lakebase Postgres CLI basics (project / branch / endpoint shapes, name formats, "never delete the production branch" rule). This skill composes on top of it.

Project state – when .env matters

The substrate API takes explicit args (instance, branch, etc.) on every public function – agents can drive every operation without a project .env at all. But when an agent is acting AS the developer in a checked-out paired project, the project's .env is the source of truth for "which Lakebase branch is this workspace currently paired with."

Agent context .env contract
In a checked-out paired project (Claude Code / Cursor / Genie Code on a developer's machine) Respect it. Read LAKEBASE_PROJECT_ID to derive instance. After git checkout, call syncEnvToCurrentBranch({ cwd }) so .env matches the new branch – otherwise the bundled CI scripts (refresh-token.sh, flyway-migrate.sh) and the git hooks operate on stale credentials.
Sandbox / no workspace (Claude Desktop, OpenAI Agent Builder, exploratory) Ignore it. Pass instance and branch explicitly per call. Substrate never requires .env.
Bootstrapping a new project N/A. createProject creates the .env for you as step 7. No .env exists before that.

Connection-block keys (managed by syncEnvToCurrentBranch / updateEnvConnection / post-checkout.sh):

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First Seen
Jun 16, 2026
lakebase-scm-workflows — databricks-solutions/lakebase-app-dev-kit