aidp-pipelines
Skill from oracle-samples/oracle-aidp-samples
Install
npx skills add oracle-samples/oracle-aidp-samples --skill aidp-pipelines
Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.
As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-official
/plugin install oracle-ai-data-platform-workbench-spark-connectors@claude-plugins-official
This skill is part of the plugin “oracle-ai-data-platform-workbench-spark-connectors”. In Claude Code the plugin installs it together with the plugin’s other skills, commands and hooks.
What does the aidp-pipelines skill do?
Description from the SKILL.md in the source repository.
Questions about aidp-pipelines
What does the aidp-pipelines skill do?
Author, schedule, run, and monitor AIDP Jobs (task DAGs of notebooks/python with cron). Use when the user wants to build a pipeline, create/update/run a Job, schedule a recurring run, check a run's status, read a task's output, or cancel a run.
How do I install aidp-pipelines?
In a terminal: npx skills add oracle-samples/oracle-aidp-samples --skill aidp-pipelines. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.
Which agents can use aidp-pipelines?
Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.
Is aidp-pipelines safe to use?
Our automatic check found no risky patterns (piped shell scripts, hidden characters, secret access, prompt overrides). It is not a full audit – read the SKILL.md and any scripts before installing.
More skills from oracle-samples/oracle-aidp-samples
Build a high-level Snowflake to AIDP migration plan and present it for approval. States which objects can migrate and which cannot with a brief reason for each, applies user-supplied restrictions such as …
Router, runbook and shared rules for migrating a Snowflake estate onto Oracle AI Data Platform (AIDP). Read this first whenever the user mentions migrating, moving, assessing, inventorying or cloning Snowflake databases, schemas …
Dev mode. Run the entire Snowflake-to-AIDP migration pipeline against a built-in emulated estate and an emulated AIDP — no credentials, no network, nothing real is touched.
First-run setup for the Snowflake to AIDP migrator. Finds or creates the one migration config file (snowmig-config.yaml), reads every field back with secrets masked, verifies Snowflake authentication by password, key-pair, programmatic access …
Map Snowflake warehouses onto AIDP Spark compute clusters and produce a sizing and cost proposal. Inventories every warehouse with its size, multi-cluster scaling policy and auto-suspend, pulls observed credit consumption from ACCOUNT_USAGE …
Generate the table-creation script for a Standard AIDP catalog as an executable notebook, locally and offline.
Provision the migration environment inside AIDP for the prod flow - the workspace (name auto-translated to the simplest safe charset), the migration-assets compute cluster, optional cluster libraries from requirements-aidp.txt, the backup-snowflake-migration/ workspace …
Create the medallion architecture on Oracle AI Data Platform - registering an EXTERNAL catalog of source type SNOWFLAKE by default, and generating Spark SQL for schemas, tables and views from an approved …
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