jbct-review
Thorough parallel JBCT code review. Launches 10 focused reviewers plus aggregator for comprehensive compliance checking.
Skills matching the name, description or GitHub author.
Thorough parallel JBCT code review. Launches 10 focused reviewers plus aggregator for comprehensive compliance checking.
Review checklists and patterns for React/TypeScript frontend code reviews. Use when: (1) reviewing React components, (2) checking TypeScript type safety, (3) validating hooks usage, (4) checking accessibility c...
Standardized output format for code reviews with severity labels, file:line references, and fix code snippets. Use when generating review reports that need consistent, actionable feedback structure.
Clean Code principles adapted for C#/.NET including naming, variables, functions, SOLID, error handling, and async patterns. Use when: (1) reviewing C# code, (2) refactoring for clarity, (3) writing new code, (...
Multi-agent code review for security, quality, and architecture. Use when user says "review", "review code", "check code", "code review", "review my changes", "review this", or wants feedback on their code.
Conduct a thorough and in-depth code review. Use this skill when conducting a code review for a PR on GitHub.
Creates repeatable security review checklist for PRs with required checks, common pitfalls, and automated gating. Use for "security review", "PR checklist", "code review", or "security gates".
Run all code review agents in parallel (bugs, coverage, maintainability, simplicity, type-safety if typed, CLAUDE.md adherence, docs). Respects CLAUDE.md reviewer configuration.
Provides comprehensive code review feedback based on best practices, style guides, and potential bug detection. Use when the user requests a code review, asks for improvements to code, or needs to ensure code q...
Perform thorough code reviews focusing on code quality, security, and best practices
Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, security scanning, and review checklist generation. Use when revi...
Comprehensive code review for commits and pull requests. Covers security, TDD, code quality, and documentation standards.
Core coding standards and best practices for code review and generation. Provides guiding principles (DRY, KISS, YAGNI, SOLID), priority frameworks for feedback, tooling baselines, dependency management guideli...
Python development standards for code review and generation. Covers Python 3.12+ patterns, type hints, async/await, testing with pytest, package management with uv, AWS Lambda/boto3 patterns, and Pydantic valid...
Executes OpenAI Codex CLI for code analysis, refactoring, and automated editing. Activates when users mention codex commands, code review requests, or automated code transformations requiring advanced reasoning...
Receive and act on code review feedback with technical rigor, not performative agreement or blind implementation
Agentic code review of a GitHub pull request. Explores the codebase, tests hypotheses, and produces findings with high confidence.
Use when assessing or improving code quality, maintainability, performance, or security hygiene - provides workflows for analysis, code review, and systematic improvements with validation steps.
Multi-model code review with structured feedback using LLM Council peer evaluation. Use for PR reviews, code quality checks, or implementation review. Keywords: code review, PR, pull request, quality check, pee...
Invoke Gemini for design/code review. PROACTIVE: (1) BEFORE proposing new features/architecture, (2) AFTER >100 lines or >3 files changed (before tests), (3) AFTER security/perf changes, (4) ON SESSION RESUME -...
Reviews code for quality, security, and maintainability. Use after implementing features, completing significant work, or when user asks for code review.
編輯程式碼時的安全檢查技能。當使用者編輯檔案、修改程式碼、或進行 code review 時自動啟用。監控命令注入、XSS、eval 使用、敏感資料外洩、不安全的 postMessage 等安全風險。靈感來源於 Anthropic 官方 security-guidance...
Intelligently routes code reviews between Gemini CLI and Codex CLI based on tech stack, complexity, and change characteristics. Use when you want an automated code review of your current changes.
Structured code review approach covering security, quality, performance, and consistency.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.