quality
Code quality validation, formatting, linting, and pre-commit checks.
Best use case
quality is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Code quality validation, formatting, linting, and pre-commit checks.
Teams using quality should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/quality/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How quality Compares
| Feature / Agent | quality | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Code quality validation, formatting, linting, and pre-commit checks.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Code Quality Skill Code quality validation, formatting, linting, and pre-commit checks. ## Activation Auto-activates on keywords: quality, lint, format, precommit, naming, black, ruff, mypy, basedpyright, validation ## Workflows ### Formatting - **format.md**: Code formatting with Black and Ruff ### Linting - **lint.md**: Linting checks with Ruff - **naming.md**: Naming convention validation ### Pre-commit - **precommit.md**: Pre-commit hook validation ## Commands ```bash # Format code uv run black . uv run ruff format . # Lint code uv run ruff check . uv run ruff check --fix . # Type checking uv run basedpyright src/ # Run all pre-commit hooks uv run pre-commit run --all-files ``` ## Quality Standards ### Python Standards - **Line Length**: 88 characters (Black default) - **Type Checking**: BasedPyright strict mode - **Linting**: Ruff with PyStrict-aligned rules ### Rule Categories - **BLE**: Blind except detection - **EM**: Error message best practices - **SLF**: Private member access violations - **INP**: Require `__init__.py` in packages - **T10**: No debugger statements - **G**: Logging format strings ### Per-File Ignores Tests and scripts have relaxed rules for pragmatic development.
Related Skills
data-quality-checker
Data Quality Checker - Auto-activating skill for Data Pipelines. Triggers on: data quality checker, data quality checker Part of the Data Pipelines skill category.
../../../agents/ra-qm-team/cs-quality-regulatory.md
No description provided.
data-quality-frameworks
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
when-verifying-quality-use-verification-quality
Comprehensive quality verification and validation through static analysis, dynamic testing, integration validation, and certification gates
verification-quality-assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
quick-quality-check
Lightning-fast quality check using parallel command execution. Runs theater detection, linting, security scan, and basic tests in parallel for instant feedback on code quality.
move-code-quality
Analyzes Move language packages against the official Move Book Code Quality Checklist. Use this skill when reviewing Move code, checking Move 2024 Edition compliance, or analyzing Move packages for best practices. Activates automatically when working with .move files or Move.toml manifests.
code-quality
Expert at TypeScript strict mode, linting, formatting, code review standards. Use when checking code quality, fixing type errors, or enforcing standards.
analyzing-test-quality
Automatically activated when user asks about test quality, code coverage, test reliability, test maintainability, or wants to analyze their test suite. Provides framework-agnostic test quality analysis and improvement recommendations. Does NOT provide framework-specific patterns - use jest-testing or playwright-testing for those.
analyzing-response-quality
Expert at analyzing the quality of Claude's responses and outputs. Use when evaluating response completeness, accuracy, clarity, or effectiveness. Auto-invokes during self-reflection or when quality assessment is needed.
analyzing-component-quality
Expert at analyzing the quality and effectiveness of Claude Code components (agents, skills, commands, hooks). Assumes component is already technically valid. Evaluates description clarity, tool permissions, auto-invoke triggers, security, and usability to provide quality scores and improvement suggestions.
quality-fixer
Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolve formatter conflicts. Use when quality checks fail or before committing code.