Deep-merge common settings with tool-specific overrides from tribunal.yaml.
npx skills add https://github.com/jpeggdev/buildwithjpegg --skill config-jpeggdev
Please help me install this Agent Skill. Skill: config Source: https://github.com/jpeggdev/buildwithjpegg/tree/main/plugins/tribunal/skills/config Command: npx skills add https://github.com/jpeggdev/buildwithjpegg --skill config-jpeggdev
This Skill simplifies complex configuration management by providing a robust system for deep-merging layered settings, ensuring consistency and flexibility across different tools and environments.
tribunal.yaml.timeout_seconds are used, but also applies the more specific timeout_seconds defined for 'claude' in the tribunal.yaml file.Resolve the configuration for the 'claude' tool using the tribunal.yaml file in the current directory.
High-intent search queries and answers about installing and using this skill.
Layered configuration resolution merges common settings from tribunal.yaml with tool-specific overrides, intelligently handling nested objects and arrays so all settings apply correctly. This ensures consistency and flexibility across different tools and environments.
Layered configuration resolution is the process of deep-merging common settings with tool-specific overrides in tribunal.yaml. It dynamically manages hierarchical configuration for multi-agent system features like agent selection, debate parameters, and coverage enforcement.
You apply tool-specific overrides by deep-merging them with common settings in tribunal.yaml. For example, when running the 'claude' tool, common settings like timeout_seconds are used, but the specific timeout_seconds defined for 'claude' take precedence.
Yes, hierarchical configuration management applies to all Tribunal features requiring dynamic configuration, including agent selection, debate parameters, and coverage enforcement. It resolves settings from tribunal.yaml to satisfy flexible multi-agent system requirements.
Yes, deep merging handles nested objects and arrays intelligently within tribunal.yaml. This ensures that all common and tool-specific settings are correctly applied across different tools and environments without losing hierarchical structure.
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