project-discipline-guides

What problem does it solve?

Project-specific discipline guides (e.g., for JavaScript, CSS) often include content that modern AI coding models already natively understand, which wastes valuable context window space and reduces the efficiency of AI-assisted development workflows.

Core Features & Use Cases

• Cross-Model Knowledge Mirror Generation: Automatically generates "redundancy mirrors" from Gemini, Claude, and Codex to identify content all models treat as common knowledge for a given discipline.
• Strict Inverse Filtering: Prunes only content confirmed as redundant across all three models, preserving project-specific rules, architectural conventions, and guidance that counters common AI biases.
• Use Case: A team maintaining a project-specific JavaScript style guide can use this skill to strip out generic best practices all models already know, keeping only rules unique to the team's codebase (e.g., custom naming conventions, project-specific performance requirements).

Quick Start

Use the project-discipline-guides skill to remove redundant common knowledge from your project's JavaScript discipline guide by comparing it against cross-model knowledge mirrors.