Навыки: Тестирование

Enforce complexity and size limits on Swift code with SwiftLint threshold rules — cyclomatic complexity, function/type/f...

コードスメルとアーキテクチャ・アンチパターンを整理し、レビューと改善対象の特定を支援するスキル。 クラス/メソッドのスメル検出、改善優先度の整理、レポート化を扱う。 Anchors: • Clean Code (Robert C. Mar...

Code smell detector: statically identifies 10 families of structural code quality issues (long methods, deep nesting, go...

Identify and report code smells indicating poor design or maintainability issues in Python code, including duplicate cod...

Identifies anti-patterns specific to amplihack philosophy. Use when reviewing code for quality issues or refactoring. De...

Standard code patterns, conventions, and testing practices for Kubani. Reference this when writing new code, tests, or r...

Reviews Go package structure, file organization, and internal package usage. Use when creating new packages, reviewing p...

Enforce mirror, reuse, and symmetry principles to keep new code consistent with surrounding code. Use when writing new c...

Enforce test-driven development (RED-GREEN-REFACTOR). Use when implementing features, fixing bugs, or changing behavior...

Advanced code testing and review expert system that provides comprehensive code quality analysis, security vulnerability...

Provides file paths to language-specific extension files for the code-testing pipeline. Call this skill to discover avai...

Multi-agent code verification workflow using a main agent and sub-agent loop. Use when verifying code against requiremen...

Performs comprehensive codebase audit checking architecture, tech debt, security vulnerabilities, test coverage, documen...

Codebase quality orchestration for maintaining high-quality, secure, well-documented code. Use when completing features,...

Holistic read-only codebase health review to find architecture drift, dead code, test gaps, and doc gaps.

Reviewer role. Opens rendered HTML, inspects every slide visually, fixes problems in custom.css or slides.html and re-as...

Real-time structural Code Health via CodeScene MCP — review before edits, verify score deltas after changes, gate commit...

Write the actual code from a build plan — files, edits, and run-verify cycles. Invoke for every build step that produces...

Triage and address CodeRabbit automated review comments on a pull request.

Systematic workflow for CodeRabbit reviews - local CLI, PR threads, and commit attribution

Structured code review covering style, readability, and security concerns with actionable feedback. Use when reviewing p...

Brutally honest code review in the style of Linus Torvalds, focusing on data structures, simplicity, and pragmatism. Use...

Analyze code for style violations, pattern compliance, and quality issues

AI peer review via OpenAI Codex CLI. Use when reviewing code changes, validating technical decisions, comparing implemen...

OpenAI Codex CLIを使用してコードレビュー・分析を実行するスキル。

Advisory consultation skill for architectural reviews, design decisions, code analysis, and technology evaluation. Codex...

Use when the user asks for code review, PR review, merge readiness, quality/security/maintainability assessment, review...

Run verification checks before completion using lint/test, security scanning, and optional bundle plus tech debt analysi...

Use when Codex should explore a fuzzy, underspecified, or stubborn problem through bounded rounds rather than finish a k...

Use when the user wants measurable performance optimization, latency/cost/memory/throughput improvement, benchmark-drive...

Create, choose, adapt, and validate reusable Codex prompt templates that orchestrate skills, plugins, files, tools, and...

Run the Codex Readiness integration test. Use when you need an end-to-end agentic loop with build/test scoring.

Run the Codex Readiness unit test report. Use when you need deterministic checks plus in-session LLM evals for AGENTS.md...

Code review workflows with Codex CLI including automated reviews, diff analysis, and PR improvements. Use for code revie...

Professional code review with auto CHANGELOG generation, integrated with Codex AI

OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration

Have OpenAI Codex review the current branch with documentation research. Use for second-opinion code reviews or when you...

Integrates OpenAI Codex CLI as an MCP server to provide second-opinion reviews. Use when user mentions 'Codex レビュー', 'セカ...

Step-by-step guidance for codex review.

規模判定 → Codex規模別レビュー → Claude Code修正 → 再レビュー（ok: trueまで反復）

Perform code reviews using OpenAI Codex CLI to identify bugs, security vulnerabilities, performance issues, and code qua...

Run an independent code review using the OpenAI Codex CLI in headless mode. Gets a second opinion from a different model...

Run AI-powered code review using the codex CLI. Use when the user asks to "codex review", "run codex review", or "review...

Review implementation quality and regression risks via claude-delegator (Code Reviewer expert). Use after implementation...

Use before feature, bugfix, or refactor implementation when behavior can be tested; enforces Red-Green-Refactor discipli...

Validate architecture/plan quality via claude-delegator (Plan Reviewer expert). Use after writing context.md for complex...

Update README, migration notes, changelogs, and operator-facing docs so shipped changes remain understandable after rele...

Review changes with a risk-first mindset that prioritizes bugs, regressions, missing tests, and operational gaps.