Exasol transformers

Skill exasol-labs/exasol-agent-skills/plugins/exasol/skills/exasol-transformers

Exasol skills for AI agents. Optimized for Claude Code and OpenAI Codex 🤖

Install

npx -y skills add exasol-labs/exasol-agent-skills --skill exasol-transformers

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Deploy and use the Exasol Transformers Extension for NLP inference inside Exasol with notebook-connector. Covers initialize_te_extension, deploy_scripts, activation SQL, model-installation workflows, and the current TE SQL UDF surface.

SKILL.md

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Exasol Transformers Extension Skill

Trigger when the user mentions Transformers Extension, TE extension, initialize_te_extension, deploy_scripts, Hugging Face models in Exasol, TE UDF, PYTHON3_TE, or NLP inference inside Exasol.

Purpose

This skill routes notebook-connector Transformers Extension tasks to the reference material that covers TE setup, activation, validation, and the current TE SQL UDF surface.

Use this skill after notebook-connector configuration already exists in the SCS (secure config store). If the required DB or BucketFS values are still missing, activate exasol-ai-setup first.

Routing Algorithm

Extension setup and model handling
- Trigger phrases: initialize_te_extension, deploy_scripts, install_model, huggingface_token
- Load: references/transformers-extension.md
SQL UDF usage and validation
- Trigger phrases: TE_TEXT_GENERATION_UDF, TE_DELETE_MODEL_UDF, get_activation_sql, transformers sql udf
- Load: references/transformers-extension.md

Multiple routes can apply. Load the reference before responding.

Prerequisites

The secure config store must already contain complete DB and BucketFS values. If not, activate exasol-ai-setup first.

DB values: db_host_name, db_port, db_user, db_password, db_schema
BucketFS values: bfs_host_name, bfs_port, bfs_service, bfs_bucket, bfs_user, bfs_password
optional: huggingface_token for gated or private models

Validation

Validate setup with the reference flow after loading references/transformers-extension.md.

Success signals:

the returned activation SQL is present and non-empty
the TE setup or validation step from the reference completes without language-activation errors
at least one TE UDF call returns rows instead of missing-language or missing-script errors

Expected failure mode:

if DB, BucketFS, or Hugging Face settings are incomplete, initialization or UDF execution should fail until exasol-ai-setup has been completed with real values

Guidance

Use exasol-ai-setup when secure config store, DB, or BucketFS values are still missing.
Use exasol-bucketfs when the user needs to inspect or manipulate the uploaded SLC or model files directly.
Use exasol-udfs when the task is about language activation or custom UDF work beyond the packaged TE surface.