Lint

What it does

The lint skill enables AI agents to perform static analysis and code quality checks on source files. It identifies syntax errors, style violations, and potential bugs to ensure code meets specific standards before execution or review.

When to use it

• Before committing changes to a version control repository to prevent introducing regressions.
• During the development workflow to provide immediate feedback on coding style inconsistencies.
• When integrating new libraries or frameworks to verify compatibility with existing project rules.
• As part of a continuous integration pipeline to automate quality assurance checks.

Key capabilities

• Executes linting tools against provided codebases or files.
• Reports specific issues categorized by severity (e.g., errors, warnings).
• Validates adherence to language-specific style guides and best practices.
• Supports multiple programming languages depending on the underlying toolchain.

Example prompts

• "Run a full lint check on my current Python project directory."
• "Identify any ESLint violations in this JavaScript file before I commit it."
• "Check this Rust code snippet for clippy warnings and formatting issues."

Tips & gotchas

Ensure the AI agent has access to the necessary linter binaries or can invoke them via shell commands within its environment. Some complex projects may require specific configuration files (like .eslintrc or .clippy.toml) to be present for accurate analysis.