ClaudeSuperPower

aidp-mlops

Skill

Track ML work in AIDP's MLflow-compatible MLOps — experiments, runs, metrics/params, registered models, and model versions. Use when the user wants to log/track experiments, list runs or metrics, register a model, transition a model-version stage, or query the model registry. Primary engine is the o

Install

git clone https://github.com/oracle-samples/oracle-aidp-samples.git ~/.claude/skills/aidp-mlops

What is aidp-mlops?

Track ML work in AIDP's MLflow-compatible MLOps — experiments, runs, metrics/params, registered models, and model versions. Use when the user wants to log/track experiments, list runs or metrics, register a model, transition a model-version stage, or query the model registry. Primary engine is the official `aidp` CLI (`aidp mlops …`); the same Preview MLflow REST API via `oci raw-request` is the no-CLI fallback. Verify live first.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~109 tokens of context used while enabled, before you invoke anything

Documentation

README · ~5 min read

aidp-mlops — MLflow experiments & model registry (Preview)

Interact with AIDP's MLflow-compatible MLOps surface. This is AIDP-native MLOps — distinct from OCI Data Science.

CLI (preferred): aidp mlops <command> --instance-id <DATALAKE_OCID> --auth api_key --profile DEFAULT --region <r>

  • Experiments/runs: aidp mlops list-experiments | create-experiment | list-experiment-runs | log-experiment-run-metric
  • Registry: aidp mlops list-registered-models | create-registered-model | create-model-version | transition-model-version-stage
  • Full surface = 46 subcommands — see the grouped command index below (experiments / runs / registered-models / model-versions / tags / artifacts).

Fallback (no CLI): same MLflow REST surface via oci raw-request (identical endpoint + auth; see references/oci-raw-request.md).

Preview + verify-first (no-fabrication): MLOps is Preview. Probed 2026-06-10:

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