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Review and refactor implemented code with quality checklist

Claude Code Skills

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Паттерн Schema-Guided Reasoning (SGR) для решения задач на базе LLM с использованием structured output, constrained decoding, Pydantic моделей. Используй когда нужно: структурированный вывод, JSON schema, воспроизводимость рассуждений, тестируемость промежуточных шагов, направленное рассуждение модели, response_format, parse().

Enforces Karpathy's 4 LLM-coding principles (Think Before Coding, Simplicity First, Surgical Changes, Goal-Driven Execution). Auto-fires whenever the user requests writing, editing, refactoring, fixing, or adding code. Blocks drive-by refactoring, over-engineering, and speculative changes; demands clarification before implementation, minimum code, surgical edits, and conversion of tasks into verif

Транскрипция и суммаризация митингов, созвонов, встреч по аудио/видео файлу. Используй когда: summarize meeting, транскрибировать созвон, обработать аудио митинга, summary встречи, суммаризация записи, meeting summary, транскрипция.

PR レビューコメント・ローカルファイル・会話内のレビュー結果からフィードバックを読み取り、コードに反映する。ユーザーが「レビュー反映して」「フィードバック適用」「/smart-review-apply」と言ったら起動する。

Помогает писать системные промпты для LLM. Используй когда нужно написать prompt, system prompt, системный промпт, инструкцию для модели.

Analyze the outcome of a product experiment using control and test results, effect size, and statistical evidence. Use this skill when the user has experiment results and needs a clear readout of what happened.

Define the primary metric, secondary metrics, guardrails, and success criteria for a product experiment. Use this skill when the user has a hypothesis or planned test but has not yet defined how success should be measured.

Extraia com um clique pontos de conhecimento e experiência de desenvolvimento da conversa atual do Claude Code, enviando-os de forma estruturada para tabelas multidimensionais do Feishu. Disponível a qualquer momento em conversas de desenvolvimento do Claude Code, categoriza e registra automaticamente o conteúdo no banco de conhecimento usando palavras-chave como '/feishu-push'.

Use para escrever ou converter testes JUnit em Java ou Kotlin com a biblioteca TableTest. Ativa ao testar múltiplos cenários com a mesma lógica de asserção, converter métodos @Test repetitivos, iniciar um novo @TableTest, ou ao discutir a sintaxe do TableTest ou escrever testes para uma funcionalidade.