agilab-huggingface-spaces

Automate AGILAB Hugging Face Space deployment and drift checks via hf_space_deploy.sh workflow.

19|2|Updated Mar 14, 2025
One-click install
npx skills add https://github.com/ThalesGroup/agilab --skill agilab-huggingface-spaces
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agilab-huggingface-spaces
Source: https://github.com/ThalesGroup/agilab/tree/main/.claude/skills/agilab-huggingface-spaces
Command: npx skills add https://github.com/ThalesGroup/agilab --skill agilab-huggingface-spaces

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill automates the maintenance and deployment of the official AGILAB Hugging Face Space.

Core Features & Use Cases

  • Aligns Space configuration with the official contract across repositories (agilab, thales_agilab/huggingface) to prevent drift.
  • Provides deployment workflows using hf_space_deploy.sh for both first-proof and advanced profiles, plus validation steps before cutover.
  • Ensures profile consistency, secret guidance, and runtime cutover validation to minimize downtime during updates.

Quick Start

Follow the Hugging Face Space deployment flow from the apps/docs bundle to publish or update the official AGILAB Space against the public agilab checkout.

Frequently Asked Questions about agilab-huggingface-spaces

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

FAQPage Schema
How do I automate Hugging Face Space deployment and prevent configuration drift?▼

Automating Hugging Face Space deployment and preventing configuration drift is done by aligning Space configuration across the public agilab checkout and companion bundle using the hf_space_deploy.sh workflow, which enforces profile consistency and drift-detection checks.

What is runtime cutover validation in a Hugging Face Space deployment?▼

Runtime cutover validation is a pre-deployment check that verifies profile consistency, secret handling, and configuration alignment to minimize downtime and ensure a smooth transition during Hugging Face Space updates.

How do I manage secrets and profile consistency when updating a Hugging Face Space?▼

Managing secrets and profile consistency during Hugging Face Space updates requires following the deployment workflow from the apps/docs bundle, which provides secret guidance and validates configurations against the official contract before cutover.

Do I need a specific repository setup to maintain an official Hugging Face Space?▼

Maintaining an official Hugging Face Space requires coordinating across the public agilab checkout and the companion huggingface bundle to align the Space contract during drift-prone updates.

What's the best way to align Space configuration across multiple repositories?▼

Aligning Space configuration across multiple repositories involves applying deployment workflows that enforce profile consistency and execute drift-detection checks, ensuring both first-proof and advanced profiles match the official contract.

Why does my Hugging Face Space deployment fail during configuration drift?▼

Hugging Face Space deployment fails during configuration drift when the public checkout and companion bundle fall out of sync, requiring drift-detection checks and profile consistency validation before applying runtime cutover.