Custom Linter Creator

What it does

The custom-linter-creator skill allows you to define and use custom linters within an AI agent. It enables users to specify linting rules based on their specific needs, going beyond standard coding style checks. This facilitates the enforcement of project-specific guidelines and best practices directly within the AI's workflow.

When to use it

• Enforcing Project Style Guides: Ensure all generated code adheres to a particular company or team’s coding standards.
• Custom Code Quality Checks: Implement rules beyond standard linting, such as checking for specific API usage patterns.
• Domain-Specific Validation: Validate AI-generated content against domain-specific constraints (e.g., legal compliance in generated contracts).
• Automated Review Feedback: Provide automated feedback on code or text based on custom rules.

Key capabilities

• Define custom linting rules.
• Integrate linters into the agent’s workflow.
• Enforce project-specific guidelines.
• Validate content against domain-specific constraints.

Example prompts

• "Create a linter rule to ensure all variable names start with an underscore."
• "Add a linting check for using deprecated functions in Python code."
• “Implement a custom linter that flags any sentence containing the word ‘ambiguous’ in generated marketing copy.”

Tips & gotchas

The effectiveness of this skill depends on clearly defining and testing your custom linting rules. Ensure you have a good understanding of the underlying linting framework being used by the AI agent for optimal results.