Entropy Data Sync

Entropy Data integration for dbt projects

Make sure a dbt project is well-integrated with Entropy Data.

What "well-integrated" means

A dbt project is well-integrated with Entropy Data when it has all of:

How to run this skill

Work in this exact order. Do not skip the audit.

${PLUGIN_ROOT} below refers to the root of this plugin — the directory that contains skills/. On Claude Code it is set automatically as ${CLAUDE_PLUGIN_ROOT} — use that. On any other agent (Codex, Copilot CLI, etc.) it is unset; resolve it as ../.. relative to this SKILL.md file's directory (i.e. the grandparent of skills/<this-skill>/).

Plan announcement (before Step 0)

Before running Step 0, print the following plan to the user verbatim so they know what's about to happen:

Running entropy-data-sync. I'll:

1. Verify the entropy-data CLI is installed and connected.
2. Confirm this is a dbt project and pick up its name.
3. Audit existing Entropy Data artifacts (ODPS, ODCS, OpenLineage, model layout, publish workflow, git connections).
4. Gather any missing parameters from you (one batched question).
5. Apply fixes — create missing files, patch incomplete ones, register git connections.
6. Summarize what changed and what's deferred.

Then proceed.

Step 0 — Verify the Entropy Data CLI connection

Confirm uv run --quiet entropy-data --version succeeds from the project root. If it fails, run uv sync (the bootstrap template seeds entropy-data as a dev dep) and retry. If still missing, stop and tell the user to verify entropy-data is in pyproject.toml's [dependency-groups].dev. Use uv run entropy-data … for every CLI invocation in this skill.

Run entropy-data connection test. If it fails (no connection, expired key, etc.), stop and tell the user to run entropy-data connection add <name> --host <host> --api-key <key> first. Do not prompt for the key yourself.

Step 1 — Confirm this is a dbt project

Check that dbt_project.yml exists at the working directory root. If not, stop and tell the user this skill only works inside a dbt project.

Read dbt_project.yml and remember the name: value — call it DBT_PROJECT_NAME. By convention it is also the dbt profile and the data product id.

Step 2 — Audit

For each row in the table above, check whether the artifact is present. For row 7 (git connections), call:

• entropy-data dataproducts gitconnection get <DATA_PRODUCT_ID> -o json
• entropy-data datacontracts gitconnection get <CONTRACT_ID> -o json for each output-port contract under models/output_ports/**/

For rows 2 and 3, glob the file system:

• Output contracts: models/output_ports/**/*.odcs.yaml
• Input contracts: models/input_ports/*.odcs.yaml

Legacy projects may still have contracts at the old datacontracts/ path. If datacontracts/ exists and contains *.odcs.yaml files, flag those rows as migration needed and surface the move target (output contracts → models/output_ports/v1/; input contracts, if any, → models/input_ports/). Do not move them silently — Step 4 asks the user.

If a get returns a 404 (or "not found"), mark that connection as missing. If it returns a connection whose repository-url / repository-path / repository-branch does not match the local repo, mark it as drifted and call it out separately — do not silently overwrite. If the underlying data product or contract doesn't exist on the platform yet (the workflow hasn't run for the first time), or if the working directory is not a git repository (git rev-parse --is-inside-work-tree errors or returns false), mark git connections as deferred with a one-line explanation.

For row 1 (ODPS file), also check that the top-level customProperties list contains an entry with property: "dataProductBuilder" and value: "https://github.com/entropy-data/dataproduct-builder-dbt". If the file exists but the property is missing, mark the ODPS as incomplete with a one-line note ("missing dataProductBuilder customProperty"); Step 4 will add it without touching other fields. Forks of this plugin should substitute their own builder URL in the template before publishing.

Produce a short audit report like:

Entropy Data integration audit for <DBT_PROJECT_NAME>:
  [✓] ODPS file
  [✗] Output-port contracts (no *.odcs.yaml under models/output_ports/)
  [⏸] Input-port contracts (none — populated by dataproduct-implement from access agreements)
  [✓] openlineage.yml
  [✗] Model layout (no models/output_ports)
  [✗] GitHub Actions publish workflow
  [⏸] Git connections (deferred: data product not yet published — run the workflow first)

Show the report. Then list what you intend to create. Wait for the user to confirm before writing any files.

Step 3 — Gather parameters (only ask for what you cannot infer)

Before generating files, fill in these placeholders. Infer from the project where you can; ask the user for the rest in one batched question.

Step 4 — Apply the fixes

For each missing artifact, copy the corresponding template from ${PLUGIN_ROOT}/skills/entropy-data-sync/templates/ into the user's project, substituting placeholders. Do not overwrite existing files; if a file is present but incomplete, surface the diff and ask before changing.

When (and only when) you're about to write openlineage.yml or .github/workflows/data-product.yml, resolve API_HOST from the active CLI connection:

entropy-data connection get -o json

Use the host field to substitute {{API_HOST}} in those templates. Self-hosted deployments are handled via entropy-data connection add --host <host>, not a plugin-level setting.

If the ODPS file exists but was flagged as incomplete — missing dataProductBuilder customProperty in Step 2, append the entry to the top-level customProperties list (do not reorder or touch other entries):

customProperties:
  - property: "dataProductBuilder"
    value: "https://github.com/entropy-data/dataproduct-builder-dbt"

Surface the diff and ask before saving.

The templates live at:

• templates/data-product.odps.yaml → write to <DATA_PRODUCT_ID>.odps.yaml
• templates/models/output_ports/v1/contract.odcs.yaml → write to <CONTRACT_PATH> (i.e. models/output_ports/v1/<CONTRACT_FILE>)
• templates/openlineage.yml → write to openlineage.yml
• templates/.github/workflows/data-product.yml → write to .github/workflows/data-product.yml

If the audit reported a legacy datacontracts/ directory, ask the user before moving its contents. The default migration is:

• datacontracts/<contract>.odcs.yaml → models/output_ports/v1/<contract>.odcs.yaml (if it matches an output port). If multiple output port versions exist, ask which one.
• Update the git connection's --repository-path for each moved contract (Step 4b).
• Delete the now-empty datacontracts/ directory only after the user confirms the move.

This skill does not create input-port ODCS files. They appear only when dataproduct-implement resolves an access agreement and writes the cached upstream contract to models/input_ports/. If the audit found stale input-port ODCS files (no matching .source.yaml), surface them as orphans and let the user decide whether to delete them.

For the model layout, create the directories models/input_ports/, models/staging/, models/intermediate/, models/output_ports/v1/ if absent, plus _models.yml placeholders so dbt does not warn about empty directories. Do not move existing models — only add the empty subfolders the user is missing, and note it in the report.

Also update dbt_project.yml's models: block so the materializations match the reference (output port = table, staging/intermediate = view):

models:
  <DBT_PROJECT_NAME>:
    +materialized: table
    staging:
      +materialized: view
    intermediate:
      +materialized: view

If the models: block already exists, only add missing keys; do not clobber the user's customizations.

Step 4b — Configure git connections

Only run this sub-step if the audit (Step 2) flagged at least one git connection as missing or the user confirmed re-creating a drifted one. Skip entirely if every connection is already correct, if the audit marked them as deferred, or if the working directory is not a git repository (check with git rev-parse --is-inside-work-tree — if it errors or returns false, there's no remote to register; tell the user to run git init and add a remote first, then re-run this skill).

For the data product:

entropy-data dataproducts gitconnection put <DATA_PRODUCT_ID> \
  --repository-url <GIT_REPOSITORY_URL> \
  --repository-path <ODPS_FILE> \
  --repository-branch <GIT_REPOSITORY_BRANCH> \
  --git-connection-type <GIT_CONNECTION_TYPE> \
  [--host <GIT_HOST>] \
  [--git-credential-external-id <GIT_CREDENTIAL_EXTERNAL_ID>]

For each output-port ODCS file (models/output_ports/**/*.odcs.yaml):

entropy-data datacontracts gitconnection put <CONTRACT_ID> \
  --repository-url <GIT_REPOSITORY_URL> \
  --repository-path <CONTRACT_PATH> \
  --repository-branch <GIT_REPOSITORY_BRANCH> \
  --git-connection-type <GIT_CONNECTION_TYPE> \
  [--host <GIT_HOST>] \
  [--git-credential-external-id <GIT_CREDENTIAL_EXTERNAL_ID>]

Do not register git connections for input-port ODCS files. They are cached copies of upstream contracts; the upstream data product owns the canonical record.

Notes:

• --repository-path is relative to the repo root, not the working directory. The ODPS path is just <DATA_PRODUCT_ID>.odps.yaml; output-port contract paths look like models/output_ports/v<N>/<CONTRACT_FILE>.
• Omit --host for SaaS providers (github.com, gitlab.com, bitbucket.org, dev.azure.com); set it only for self-hosted instances.
• These commands fail if the underlying data product / contract does not exist on the platform yet. If you skipped earlier because of "deferred," surface the manual command in Step 5 so the user can run it after the first workflow run. Do not retry-loop.
• If the audit reported drift (existing connection with different URL/branch/path), confirm with the user before overwriting — put is upsert.

Step 5 — Final report

Always end with this exact two-part format so the user gets a consistent recap.

Part 1 — outcome table. One row per artifact from the audit. Use the Status enum below; Details is a short, plain-text note (file path, or "—" if nothing to add).

Status enum (use exactly these words):

• created — the skill wrote a new file or registered a new connection.
• updated — the skill patched an existing file or fixed a drifted connection.
• already present — no change needed.
• deferred — skipped intentionally (data product/contract not yet published, or no git repo). The deferred command(s) appear in Part 2.
• skipped — the user declined when asked to confirm.

Part 2 — next steps. Bullet list, only include the items that apply:

• For each deferred git connection, the exact entropy-data dataproducts gitconnection put … or entropy-data datacontracts gitconnection put … command to run after the first CI publish.
• "Set GitHub repository secrets: ENTROPY_DATA_API_KEY, plus platform creds (DBT_DATABRICKS_HOST, DBT_DATABRICKS_HTTP_PATH, DBT_DATABRICKS_TOKEN for Databricks; equivalents for other platforms)."
• "Fill in the data contract schema in <CONTRACT_PATH> — the template only seeds id and updated_at."
• "Run dbt-ol run locally once to verify lineage flows to Entropy Data (requires OPENLINEAGE__TRANSPORT__AUTH__APIKEY)."

If there is nothing in Part 2, write a single line: No further action required.

Conventions and constraints

• Platform-aware workflow: the workflow template assumes Databricks. If the user picks Snowflake/BigQuery/Postgres, swap the dbt-databricks install line, the Create profiles.yml block, and the DATACONTRACT_* env vars to the matching dialect. Do not generate a Databricks workflow for a non-Databricks project.
• No invented schema: when generating the ODCS file, do not invent columns. Seed it with id + updated_at and tell the user to fill in the rest, or — if dbt models already exist for the output port — derive columns from _models.yml if available.
• Idempotent: running the skill a second time should be a no-op when everything is already present. For git connections that means: if gitconnection get returns a record matching the local repo URL / branch / path, do not call put.
• Don't overwrite drifted git connections silently. If the platform reports a different URL/branch/path than the local repo, surface the diff and ask. The user may have a fork, a renamed default branch, or a deliberate path remap.
• Don't push secrets: never write API keys, tokens, or hostnames into committed files. They must come from GitHub secrets in the workflow.
• Don't create a git repo or commit: leave VCS state to the user.

Source: hashgraph-online/awesome-codex-plugins → plugins/entropy-data/dataproduct-builder-dbt/skills/entropy-data-sync/SKILL.md