code-quality

PROACTIVELY use for code quality analysis before commits or PRs. Reviews for bugs, security, performance, style violations, and CLAUDE.md compliance. Read-only plan mode with structured severity-rated findings. Uses code-reviewing skill for tiered checklist analysis.

Deep codebase analysis for patterns, architecture, and implementation details. PROACTIVELY use when understanding code structure, finding patterns across multiple files, analyzing dependencies, or answering architectural questions. More thorough than built-in Explore.

Root cause analysis and error investigation. PROACTIVELY use when encountering errors, exceptions, stack traces, failed tests, or unexpected behavior. Analyzes error messages, logs, and code flow to find and fix issues.

Quality-focused code reviewer for consensus mode. Reviews for SOLID principles, clean code patterns, performance issues, resource management, and code smells. Used alongside code-reviewer and security-reviewer for multi-agent consensus validation.

Security-focused code reviewer for consensus mode. Reviews for OWASP vulnerabilities, secrets exposure, authentication flaws, injection attacks, and cryptographic issues. Used alongside code-reviewer and quality-reviewer for multi-agent consensus validation.

Deep codebase analysis using codebase-analyst agent for patterns, architecture, and implementation details

Run markdown linting validation on files using markdownlint-cli2

Comprehensive markdown linting guidance using markdownlint-cli2. Run, execute, check, and validate markdown files. Fix linting errors (MD0XX rules). Configure .markdownlint-cli2.jsonc (rules and ignores). Set up VS Code extension and GitHub Actions workflows. Supports markdown flavors including GitHub Flavored Markdown (GFM) and CommonMark. Use when working with markdown files, encountering validation errors, configuring markdownlint, setting up linting workflows, troubleshooting linting issues, establishing markdown quality standards, or configuring flavor-specific rules for tables, task lists, and strikethrough.

Adaptive Python development guide with tiered complexity levels (Minimal/Standard/Full). Automatically selects appropriate guidance based on project context - from simple scripts (just clean Python code) to full production systems (complete tooling ecosystem). Covers modern conventions, testing, tooling, security, and best practices. Use when writing Python code, converting scripts, setting up projects, or building production systems. Keywords: PEP-8, Ruff, pytest, mypy, simple scripts, project structure, PyPI, packaging, type hints, clean code

Run comprehensive code review before commits, PRs, or releases. Uses code-reviewer agent with tiered security, performance, and quality checks.

1 hook across 1 event