Maintain hierarchical RULES.md files for project-specific coding conventions.
npx skills add https://github.com/o2b3k/idomarketingbot --skill aif-rules-o2b3k
Please help me install this Agent Skill. Skill: aif-rules Source: https://github.com/o2b3k/idomarketingbot/tree/main/.claude/skills/aif-rules Command: npx skills add https://github.com/o2b3k/idomarketingbot --skill aif-rules-o2b3k
This Skill solves the problem of AI models forgetting project-specific coding standards, architectural patterns, or team-defined conventions over long development sessions.
Use the aif-rules skill to add a new convention that all database queries must be performed through repository classes.
High-intent search queries and answers about installing and using this skill.
You can enforce coding conventions by maintaining a hierarchical RULES.md artifact that acts as a centralized source of truth for project-wide constraints, ensuring consistent AI behavior across long development sessions.
Managing area-specific rules involves codifying modular rule sets for distinct domains like API, frontend, or database layers, ensuring the AI consistently applies architectural patterns such as using repository classes for all database queries.
To stop AI models from forgetting team coding standards, you codify project-level constraints into a centralized rules file, maintaining consistent behavior across all future implementation tasks and long development sessions.
Yes, managing project-level AI coding rules requires read and write access to the project's .ai-factory configuration and rules directory to properly enforce the defined architectural constraints.
Yes, you can define rules separately by maintaining global axioms for project-wide constraints alongside area-specific modules, allowing you to codify distinct conventions for different domains like frontend or database layers.
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