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Found 1,248 Skills
Python linting with Ruff - an extremely fast linter written in Rust. Use when: (1) Standardizing code quality, (2) Fixing style warnings, (3) Enforcing rules in CI, (4) Replacing flake8/isort/pyupgrade/autoflake, (5) Configuring lint rules and suppressions.
Dependencies audit worker (L3). Checks outdated packages, unused deps, reinvented wheels, vulnerability scan (CVE/CVSS). Supports mode: full | vulnerabilities_only.
Coordinates 9 specialized audit workers (security, build, architecture, code quality, dependencies, dead code, observability, concurrency, lifecycle). Researches best practices, delegates parallel audits, aggregates results into single Linear task in Epic 0.
Professional-grade Python development with Ruff (v0.14.10) - an extremely fast Python linter and formatter. Use when working with Python codebases for (1) linting and fixing code quality issues, (2) formatting Python code, (3) configuring Ruff settings, (4) understanding and resolving specific rule violations, (5) integrating Ruff into projects or editors, (6) migrating from other tools (Black, Flake8, isort, etc.), or (7) any Ruff-related development tasks. Includes complete documentation for 937+ lint rules, formatter settings, configuration options, and editor integrations.
Code refactoring expert for improving code structure, readability, and maintainability. Use when user asks to refactor, clean up, or improve code quality.
Technical debt detection and remediation. Run at session end to find duplicated code, dead imports, security issues, and complexity hotspots. Triggers: 'find tech debt', 'scan for issues', 'check code quality', 'wrap up session', 'ready to commit', 'before merge', 'code review prep'. Always uses parallel subagents for fast analysis.
Review a spec document against codebase reality, identifying gaps and ensuring sound, robust implementations.
Start code reviews, PR checks, or bug analysis. Triggers: "review my code", "check this PR", "analyze for bugs", "code review". Do NOT use for: - Automating fixes (use `ask-python-refactor`). - Generating new features. Capabilities: - Static analysis: Correctness, Security, Performance, Style. - Feedback priority: Critical > Performance > Style.
Review Python code for quality, security, and best practices
Three-stage code review protocol: spec compliance, code quality, and domain integrity. Activate when reviewing code, preparing PRs, assessing implementation quality, or checking that code matches requirements. Triggers on: "review this code", "prepare PR", "check implementation", "code quality", "does this match the spec".
Identify, categorize, and prioritize technical debt. Trigger with "tech debt", "technical debt audit", "what should we refactor", "code health", or when the user asks about code quality, refactoring priorities, or maintenance backlog.
Pre-commit quality checklist covering lint, typecheck, tests, code-spec sync, API changes, database migrations, cross-layer verification, and manual testing. Blocks commit if infra or cross-layer specs lack executable depth. Use when code is written and tested but not yet committed, before submitting changes, or as a final review before git commit.