Convert nested YAML specifications into inheritance-resolved JSON format.
npx skills add https://github.com/CERTCC/Vultron --skill load-specs
Please help me install this Agent Skill. Skill: load-specs Source: https://github.com/CERTCC/Vultron/tree/main/.agents/skills/load-specs Command: npx skills add https://github.com/CERTCC/Vultron --skill load-specs
This Skill streamlines the process of transforming complex, nested YAML specifications into a flattened, inheritance-resolved JSON format suitable for AI agents. It eliminates manual parsing and inheritance resolution, reducing errors and saving development time.
Run the command uv run spec-dump in the project root to generate the full JSON metadata for use by your AI systems.
High-intent search queries and answers about installing and using this skill.
To convert YAML specifications into flattened JSON, run the command `uv run spec-dump` in your project root to automatically resolve inheritance and output optimized metadata for AI agents.
AI agents fail to understand nested and inherited project requirements because complex YAML structures lack explicit resolution, making flattening necessary to produce consistent, accessible spec data for automated analysis.
The best way to automate compliance checks using complex YAML specs is to flatten and resolve inheritance into a unified JSON structure, providing a complete, consistent dataset for agent-based requirements verification.
Yes, you can use this to resolve YAML inheritance for dependency analysis automation by transforming nested groupings into an explicit, flattened JSON structure that ensures complete and consistent spec data.
You need the `uv` package manager installed to run the `uv run spec-dump` command, which processes your project root YAML files and generates the full JSON metadata without requiring additional external dependencies.
The primary limitation of flattening nested YAML specifications into JSON is that it transforms hierarchical groupings into a flat structure, which removes original nesting depth but ensures complete inheritance resolution for AI optimization.
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