Install RETL

Most users should install RETL, install the packaged AI skills into their project, and then let an agent use those skills to create the first dry-run sync.

Core package

pip install condor-retl

The distribution package is condor-retl; the Python import package is retl.

import retl

AI skills

Install the user-facing RETL skills into the project where your sync code will live:

retl install-skills .

The default destinations are .agents/skills/ and .claude/skills/. Use --destination only when your agent expects project-local skills somewhere else:

retl install-skills . --destination .retl/user-skills

After installation, ask your agent to use retl-start-project for a new setup or retl-create-sync when the project already has RETL structure.

Source backend extras

Install the backend extras your project uses.

pip install "condor-retl[duckdb]"
pip install "condor-retl[snowflake]"
pip install "condor-retl[bigquery]"
pip install "condor-retl[databricks]"
pip install "condor-retl[postgresql]"

Destination packages

Destination connectors are separate installable packages. Install only the connectors your project needs.

pip install condor-retl-meta
pip install condor-retl-klaviyo
pip install condor-retl-google-ads-data-manager
pip install condor-retl-bing-ads
pip install condor-retl-tiktok-ads

See connector packages for refs and surface names.