List TrueFoundry ML repositories and models with Fully Qualified Names.
npx skills add https://github.com/truefoundry/tfy-agent-skills --skill ml-repos
Please help me install this Agent Skill. Skill: ml-repos Source: https://github.com/truefoundry/tfy-agent-skills/tree/main/skills/ml-repos Command: npx skills add https://github.com/truefoundry/tfy-agent-skills --skill ml-repos
This Skill streamlines the management of your machine learning assets by providing easy access to TrueFoundry's ML repositories and model registry.
Use the ml-repos skill to list all ML repositories.
High-intent search queries and answers about installing and using this skill.
You can list all ML repositories in TrueFoundry by using a skill that provides programmatic access to browse your repositories and retrieve their specific details.
A model FQN is a Fully Qualified Name. You find it by listing models within a specific ML repository to retrieve the unique identifier needed for deployment and prompt engineering.
Yes, you can browse the model registry to discover models and retrieve their FQNs, enabling seamless integration with other skills like LLM prompts and model deployments.
Yes, the TrueFoundry model registry supports listing all ML repositories and retrieving specific repository details programmatically for asset management and discovery.
To retrieve model FQNs for MLOps artifact management, you need programmatic access to the TrueFoundry model registry to browse repositories and list the contained models.
truefoundryEnumerate TrueFoundry ML repositories, models, and artifacts with fully qualified names.
xlelibertyDeploy machine learning models with MLOps pipelines and LLM API integration.
drgaciwBuild end-to-end MLOps pipelines for model training and deployment.
anton-abyzovDesign DAG-based MLOps pipelines for Airflow, Dagster, Kubeflow, or Prefect.
