Configure Claude Code hooks to validate UCL_Asset JSON files in UCL_Core projects.
npx skills add https://github.com/tim099/UCL_Core --skill ucl-hook-setup
Please help me install this Agent Skill. Skill: ucl-hook-setup Source: https://github.com/tim099/UCL_Core/tree/main/Skills~/ucl-hook-setup Command: npx skills add https://github.com/tim099/UCL_Core --skill ucl-hook-setup
This Skill helps users configure Claude Code hooks in UCL_Core-based projects, enabling automatic validation and warning alerts when modifying asset JSON files, thus reducing manual errors and ensuring compliance.
Install the hook by running the provided Python script to copy UCL_Core skills into your project's skills directory.
High-intent search queries and answers about installing and using this skill.
Automating asset validation for UCL_Core JSON files in Unity involves configuring Claude Code hooks that automatically run schema and dependency checks when asset files are modified. This ensures data integrity and reduces manual review effort.
Claude Code hooks with UCL_Core are automated triggers that execute validation routines on UCL_Asset JSON files before changes are finalized. They block deployment if schema or dependency errors are detected, maintaining project stability.
Yes, you need Python 3.10 or higher to set up UCL_Core hook configuration. The setup is executed by running a provided Python script that copies the necessary UCL_Core skills into your project's directory structure.
Yes, automated asset validation hooks apply across both Unity and code-based workflows where UCL assets are managed. They ensure schema conformity and dependency correctness regardless of the specific development environment.
To install UCL_Core hooks for automatic JSON validation, run the provided Python script included in the Skill. This script copies UCL_Core skills into your project's skills directory to activate the validation routines.
When a UCL_Asset JSON file fails validation checks, the hook prevents deployment by blocking the finalization of changes. This ensures invalid data and schema mismatches are caught before entering the project.
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