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Found 813 Skills
Multi-agent quality improvement review with constructive feedback. Provides suggestions for best practices, code quality, alternatives, and performance optimization.
Enterprise systematic code review orchestrator with TRUST 5 principles, multi-language support, Context7 integration, AI-powered quality checks, SOLID principle validation, security vulnerability detection, and maintainability analysis across 25+ programming languages; activates for code reviews, quality standard validation, TRUST 5 enforcement, architectural audits, and automated review automation
Style, review, and refactoring standards for Python codebases with strong typing, explicit error handling, and maintainable module boundaries. Use when Python artifacts are created, changed, or reviewed and Python-specific quality rules must be enforced.
Generate a project-specific CLAUDE.md (or AGENTS.md) with coding standards, style guides, and best practices. Triggers on any request to set up a project, initialize coding standards, create or update CLAUDE.md or AGENTS.md, configure agent instructions, add code quality rules, or start a new codebase. Use this skill at the start of every new project.
General code quality and engineering discipline. Use on any code task to enforce minimal, clean, production-grade changes. Follow these rules when writing, editing, or reviewing code. Activates on: code, implement, fix, build, refactor, feature, bug, change, modify, add, create, develop, write, edit, improve, optimize, update, remove, delete, rename, move, extract, inline, migrate, convert, replace, rewrite.
Iterative codebase quality audit with multi-agent validation and escalating-depth SEEK/VALIDATE/FIX/RECURSE cycle. Use for quality audit, code audit, codebase review, technical debt audit, refactoring opportunities, module quality check, or architecture review.
Kotlin language guardrails, patterns, and best practices for AI-assisted development. Use when working with Kotlin files (.kt, .kts), build.gradle.kts, or when the user mentions Kotlin. Provides null safety patterns, coroutine guidelines, data class conventions, and testing standards specific to this project's coding standards.
Ensures tasks are genuinely resolved before marking them done. Activates at task checkpoints during plan execution — validates that fixes actually work, tests genuinely pass, and acceptance criteria are met. Prevents premature completion declarations.
Generate JSDoc/docstrings for functions
Review the current Pull Request that has been checked out locally with structured feedback on code quality, issues, testing, and suggestions. Use when you need a comprehensive code review of a PR branch.
Use when implementing features from a spec or requirements document, doing multi-phase work, or when you need structured Analyze-Plan-Ask-Execute-Review cycles to prevent ad-hoc coding and ensure spec-aligned, pattern-consistent implementations
Run a structured, adversarial multi-agent bug review pipeline on a codebase. Use this skill whenever the user wants to find bugs, audit code quality, review a codebase for issues, or run any kind of bug-finding or code analysis workflow. Also trigger when the user asks to 'review my code for bugs', 'find all issues in this repo', 'audit this codebase', or any similar request. The pipeline uses three sequential phases: a Bug Finder that maximizes issue discovery, a Bug Adversary that challenges false positives, and an Arbiter that issues final verdicts — producing a clean, high-confidence bug report.