Add persistent coding and workflow rules to the AI Factory rules system.
npx skills add https://github.com/vulikjulik/DeepLom --skill aif-rules-vulikjulik
Please help me install this Agent Skill. Skill: aif-rules Source: https://github.com/vulikjulik/DeepLom/tree/main/.opencode/skills/aif-rules Command: npx skills add https://github.com/vulikjulik/DeepLom --skill aif-rules-vulikjulik
This Skill eliminates the need to manually re-state project coding conventions, workflow rules, and team standards for every AI Factory task, by letting you save persistent rules that are automatically loaded and applied before any task execution.
Use the aif-rules skill to add a new rule that all database queries must go through repository classes.
High-intent search queries and answers about installing and using this skill.
To set persistent coding conventions for automated AI workflows, you add project-specific rules that are automatically loaded and applied before any task execution, eliminating the need to manually re-state team standards.
Yes, you can enforce area-specific standards for API and frontend tasks by registering hierarchical rules that are automatically loaded into the AI Factory configuration for relevant domain workflows.
Hierarchical rule management for project configuration organizes standards into three levels: universal project axioms, base codebase conventions, and area-specific standards for domains like API, frontend, backend, database, and testing.
You add a rule that all database queries must go through repository classes by defining it as a base codebase convention, which the system then automatically registers and applies during task execution.
Yes, the AI Factory configuration file supports automatic rule registration, correctly loading area-specific rules for relevant tasks without manual configuration updates.
Coding standards need to be non-conflicting in workflow automation to ensure hierarchical rule management applies the correct area-specific standards without overriding universal project axioms during task execution.
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