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.
How to install aidp-mlops?
ahmedawan-oracle/claude-code-plugins/aidp-mlops
$npx -y skills add ahmedawan-oracle/claude-code-plugins --skill aidp-mlopsInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ahmedawan-oracle/claude-code-plugins" --skill "ahmedawan-oracle/claude-code-plugins/aidp-mlops"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ahmedawan-oracle/claude-code-plugins" that are relevant to the current task. Run `npx skills add "https://github.com/ahmedawan-oracle/claude-code-plugins"` and select the relevant skills, then follow their instructions.
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