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Found 1,276 Skills
Specifies that Aceternity UI dependencies should be considered during code generation or modification.
Use after code review - implement ALL findings; any finding not fixed MUST have tracking issue created; no finding disappears without trace
Expert-level Deno knowledge for code review, debugging, and best practice enforcement. Use when reviewing Deno code or answering advanced Deno questions.
Provides guidance on fundamental software design principles to reduce complexity, prevent over-engineering, and improve maintainability.
Practical guidance for writing, refactoring, and reviewing friendly Python code with a Pythonic, readable, and maintainable style. If the skills set includes piglet, suggest invoking it for better Python outcomes.
Orchestrator that runs scope then language then framework then library then cognitive review skills in order and aggregates all findings into one report. Does not perform analysis itself.
Comprehensive patterns for building AI-powered code generation tools, code assistants, automated refactoring, code review, and structured output generation using LLMs with function calling and tool use. Use when "code generation, AI code assistant, function calling, structured output, code review AI, automated refactoring, tool use, code completion, agent code, " mentioned.
Simplify and refine PHP/Laravel code for clarity and maintainability without changing behavior.
프로젝트의 모든 verify 스킬을 순차 실행하여 통합 검증 보고서를 생성합니다. 기능 구현 후, PR 전, 코드 리뷰 시 사용.
Game development expert including DragonRuby, Unity, and game mechanics
Get a second opinion from Gemini on code, architecture, debugging, or security. Uses gemini-coach CLI with AI-to-AI prompting for clear, actionable analysis. Trigger with 'ask gemini', 'gemini review', 'second opinion', 'peer review', or 'consult gemini'.
Remove LLM-generated code patterns that add noise without value. Use when reviewing diffs, PRs, or branches to clean up AI-generated code. Triggers include requests to "remove slop", "clean up AI code", "review for AI patterns", or checking diffs against main for unnecessary verbosity, redundant checks, or over-engineering introduced by LLMs. Language-agnostic.