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Found 813 Skills
프로젝트 컨텍스트를 파악한 뒤 전문가 관점으로 코드 리뷰하고, 사용자 승인 후 Agent Team SPAWN으로 병렬 개선 작업을 수행합니다. 트리거: 코드리뷰, 코드 리뷰, code review, 리뷰해줘, 리팩토링, 코드검토, PR 리뷰, 변경사항 검토.
Deep code audit that finds dead wiring, silent failures, unfinished features, placeholder stubs, bloated files, and unnecessary complexity. Produces an actionable report with file:line references grouped by severity. Think of it as a senior dev doing a thorough PR review of the entire codebase. Triggers on: "code review", "audit the code", "review the code", "find dead code", "find placeholders", "check for stubs", "prune the code", "code cleanup", "implementation review", "completeness check", "find unused code".
Run comprehensive PR checks including reviewing CodeRabbit comments, ensuring PR description quality, running pre-commit hooks, tests, and validation. Use on an existing PR to address review feedback.
Comprehensive .NET exception handling quality improvement workflow. Auto-detects .NET projects, investigates 10 common exception handling mistakes, generates prioritized findings, and orchestrates fixes following best practices.
Run /check-quality, then fix the highest priority quality issue. Creates one fix per invocation. Invoke again for next issue. Use /log-quality-issues to create issues without fixing.
This skill guides writing of new Ruby code following modern Ruby 3.x syntax, Sandi Metz's 4 Rules for Developers, and idiomatic Ruby best practices. Use when creating new Ruby files, writing Ruby methods, or refactoring Ruby code to ensure adherence to clarity, simplicity, and maintainability standards.
Use when fixing Rubocop violations. Runs Rubocop to identify issues, applies fixes following project conventions, and explains non-obvious corrections.
Scans the codebase against another skill's criteria using a parallel agent team. Use when the user says /scan <skill-name> to audit code quality, find violations, or assess conformance to best practices.
Review code for quality, security, and pattern compliance, then auto-fix Critical/High issues. Grounds every finding in actual codebase reference files.
Comprehensive code reviewer for Java and Python implementations focusing on correctness, efficiency, code quality, and algorithmic optimization. Reviews LeetCode solutions, data structures, and algorithm implementations. Use when reviewing code, checking solutions, or providing feedback on implementations.
Acts as a Principal Software Engineer to review completed or in-progress work against project standards, tech stack choices, and the implementation plan. Use when the user wants a quality check on their code or before finalizing a track.
Linting and formatting setup with ESLint, Prettier, Ruff, Black, and EditorConfig. Use when user asks to "set up linting", "configure ESLint", "add Prettier", "format code", "set up Ruff", "fix lint errors", "add editorconfig", or any code quality tooling tasks.