habit-hooks-prompting

What problem does it solve?

AI coding agents frequently produce shallow or incorrect fixes for linter rule violations, such as silencing warnings instead of addressing the root cause of code quality issues, which leads to persistent technical debt and wasted context window usage.

Core Features & Use Cases

• ROSE Pattern Prompting: Creates short, outcome-focused coaching prompts structured around Risk, Observation, Solution, and Expected Outcome to guide agents to fix root causes instead of symptoms.
• Context-Aware Prompt Placement: Supports both bundled prompts for generic linter rules and project-local override prompts for team-specific coding standards.
• Use Case: When your linter flags a too-many-parameters rule and the agent's default fix is to rename variables instead of refactoring the function, use this skill to write a prompt that redirects it to split the function into smaller, focused units.

Quick Start

Use the habit-hooks-prompting skill to write a ROSE-pattern coaching prompt for a linter rule that the agent currently fixes incorrectly, to guide it to address the root cause of the violation instead of silencing the warning.