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truefoundry
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truefoundry-ml-repos

Enumerate TrueFoundry ML repositories, models, and artifacts with fully qualified names.

1|Updated Mar 27, 2026
Search Tags:#api#models#repositories#ml#model-registry#fqn#truefoundry
One-click install
npx skills add https://github.com/truefoundry/tfy-deploy-skills --skill truefoundry-ml-repos
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: truefoundry-ml-repos
Source: https://github.com/truefoundry/tfy-deploy-skills/tree/main/skills/ml-repos
Command: npx skills add https://github.com/truefoundry/tfy-deploy-skills --skill truefoundry-ml-repos

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Browses and inventories TrueFoundry ML repositories and the model registry, returning repos, models, and artifacts with their fully qualified names for use in other skills.

Core Features & Use Cases

  • List ML repositories, models, and artifacts within a workspace.
  • Return FQNs suitable for prompts, deployments, or cross-skill workflows.
  • Seamless integration with other skills via structured outputs and API references.

Quick Start

Ask the skill to list all ML repos and their models to retrieve FQNs for downstream tasks.

Frequently Asked Questions about truefoundry-ml-repos

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I list ML models and artifacts in a TrueFoundry workspace?▼

To list ML models and artifacts in a TrueFoundry workspace, query the ML registry using Bash and curl to browse repositories and return items with their fully qualified names.

What is an FQN and how is it used for ML model deployments?▼

An FQN is a fully qualified name that identifies specific ML models and artifacts. It is used to reference exact items for downstream prompts, deployments, or cross-skill workflows.

Can I browse TrueFoundry ML repositories using the API?▼

Yes, you can browse TrueFoundry ML repositories via API by relying on Bash and curl to query the ML registry, enumerating repos, models, and artifacts within your workspace.

How do I get structured results from a model registry for integration with other tools?▼

To get structured results from a model registry for integration, query the TrueFoundry instance to inventory ML repositories and expose structured outputs containing repository artifacts and their FQNs.

What's the best way to inventory ML repositories for downstream prompts?▼

The best way to inventory ML repositories for downstream prompts is to query the TrueFoundry ML registry, which identifies and enumerates repos, models, and artifacts with their FQNs.

Do I need a TrueFoundry instance to enumerate models and artifacts?▼

Yes, you need access to a TrueFoundry instance to query the ML registry and enumerate models and artifacts, as the skill relies on Bash and curl to access that instance.

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