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Code simplification suggestions — clarity, unnecessary complexity, redundant abstractions. Advisory only.

日本語の概要は準備中です。原文の説明を表示しています。

Plan, write, and maintain automated tests in any language, with worked examples in Python and JavaScript/TypeScript. Use this skill whenever the user wants to write or plan tests, apply TDD (red-green-refactor), structure unit tests with arrange-act-assert and given-when-then naming, choose between fakes, stubs, and mocks, set up dependency injection for testability, build integration tests with testcontainers, database seeding, or transaction rollback, write Playwright or Cypress end-to-end tests, use property-based testing with Hypothesis or fast-check, create pytest fixtures or factory_boy factories, review coverage or mutation testing, or triage flaky tests in CI. Also trigger for "test pyramid", "test trophy", "test isolation", "mocking", "snapshot tests", "golden files", "parametrized tests", "make the tests pass".

日本語の概要は準備中です。原文の説明を表示しています。

Design relational database schemas (and choose when to go NoSQL) that stay maintainable and fast. Use this skill whenever the user mentions tables, DDL, entities and relationships, normalization (1NF/2NF/3NF), primary and foreign keys, UUID vs bigint IDs, indexes (B-tree, composite, covering, partial), EXPLAIN, constraints (CHECK, UNIQUE, exclusion), transactions and isolation levels, migrations (Alembic, Prisma, Flyway, expand-contract, backfilling), or SQL vs NoSQL (MongoDB, DynamoDB, Cassandra, graph databases). Also trigger for "design the database", "model this domain", "which database should I use", or writing ORM models and migration files for PostgreSQL, MySQL, SQLite, or SQL Server.

日本語の概要は準備中です。原文の説明を表示しています。

Design leakage-safe machine learning experiments that mirror real deployment and support fair model comparisons. Use when defining prediction timing, feature eligibility, train-validation-test splits, baselines, metrics, or controlled model iterations; not for auditing whether raw labels are trustworthy.

日本語の概要は準備中です。原文の説明を表示しています。

Orchestrate an end-to-end data analysis or machine learning project from decision framing through reproducible handoff. Use when a request spans multiple lifecycle stages or an ambiguous modeling request must become a decision-ready result; use narrower audit or experiment-design skills for isolated reviews.

日本語の概要は準備中です。原文の説明を表示しています。

Isolate the root cause of ML performance drops, inconsistent evaluations, prediction errors, and training-serving mismatches across data, labels, splits, pipelines, models, metrics, and runtime behavior. Use when investigating a reproducible failure or regression, not routine model selection or general performance validation.

日本語の概要は準備中です。原文の説明を表示しています。

Enforce traceability from natural-language intent to machine predicates, final observables, evidence, and owner-readable acceptance. Use when conducting any audit, review, QA pass, parity or compliance check, security assessment, code or architecture review, visual or behavioral comparison, data validation, system verification, completion gate, or claim that an implementation satisfies a human request.

日本語の概要は準備中です。原文の説明を表示しています。

Explore open-source GitHub repository source trees via web browsing to analyze and compare feature implementations at the code level. Supports two modes: cross-project comparison and single-project deep dive. Use when evaluating how OSS projects implement a specific feature, choosing architecture patterns, or benchmarking implementation strategies.

日本語の概要は準備中です。原文の説明を表示しています。

Research and compare how competing products implement a similar feature at the UX and interaction level. Provides structured comparison tables and strategic differentiation recommendations.

日本語の概要は準備中です。原文の説明を表示しています。

Use on a bug, test failure, crash, or unexpected behavior — enforce reproduce → isolate → hypothesize → verify before any fix; fires even on 'this is broken' / 'quick fix'.

日本語の概要は準備中です。原文の説明を表示しています。

When starting parallel work in isolation from the current branch — spawn a git worktree with ignore-safety checks and a clean test baseline — even when the user says 'try this on the side'.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with the multi-tenant architecture — customer DB switching, FQDN routing, tenant isolation, or cross-tenant operations.

日本語の概要は準備中です。原文の説明を表示しています。

Method for adding agent comments and work to a shared file without overlapping other agents. Creates isolated workspaces per agent with UTC timestamps. Use when told to add comments, reviews, or work to any file.

日本語の概要は準備中です。原文の説明を表示しています。

Padrões pragmáticos de codificação - conciso, direto, sem over-engineering, sem comentários desnecessários

日本語の概要は準備中です。原文の説明を表示しています。

Criar um plano conciso. Use quando um usuário solicitar explicitamente um plano relacionado a uma tarefa de codificação.

日本語の概要は準備中です。原文の説明を表示しています。

Padrões especialistas para desenvolvimento com Azure Functions, incluindo modelo isolated worker, orquestração de Durable Functions, otimização de cold start e padrões de produção. Cobre modelos de programação .NET, Python e Node.js. Use quando: azure function, azure functions, durable functions, azure serverless, function app.

日本語の概要は準備中です。原文の説明を表示しています。

Orientação de liderança técnica para equipes de engenharia, decisões de arquitetura e estratégia de tecnologia. Inclui analisador de débito técnico, calculadora de escalabilidade de equipes, frameworks de métricas de engenharia, ferramentas de avaliação de tecnologia e templates de ADR. Use ao avaliar débito técnico, escalar equipes de engenharia, avaliar tecnologias, tomar decisões de arquitetura, estabelecer métricas de engenharia ou quando o usuário menciona CTO, débito técnico, débito técnico, escalabilidade de equipes, decisões de arquitetura, avaliação de tecnologia, métricas de engenharia, métricas DORA ou estratégia de tecnologia.

日本語の概要は準備中です。原文の説明を表示しています。

Orientação de liderança executiva para tomada de decisões estratégicas, desenvolvimento organizacional e gerenciamento de stakeholders. Inclui analisador de estratégia, modelagem de cenários financeiros, frameworks de governança corporativa e playbooks de relações com investidores. Use ao planejar estratégia, preparar apresentações para conselho, gerenciar investidores, desenvolver cultura organizacional, tomar decisões executivas, ou quando o usuário menciona CEO, planejamento estratégico, reuniões do conselho, atualizações de investidores, liderança organizacional ou estratégia executiva.

日本語の概要は準備中です。原文の説明を表示しています。

Escreva papers prontos para publicação em NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use quando estiver elaborando papers a partir de repositórios de pesquisa, estruturando argumentos, verificando citações ou preparando submissões finais. Inclui templates LaTeX, diretrizes de revisores e workflows de verificação de citações.

日本語の概要は準備中です。原文の説明を表示しています。

Sistema autônomo multi-agente para startups em Claude Code. Ativado com "Loki Mode". Orquestra 100+ agentes especializados em engenharia, QA, DevOps, segurança, dados/ML, operações comerciais, marketing, RH e sucesso do cliente. Vai de PRD para produto totalmente implantado e gerando receita com zero intervenção humana. Inclui ferramenta Task para despacho de subagentes, revisão de código paralela com 3 revisores especializados, triagem de problemas baseada em severidade, fila de tarefas distribuída com tratamento de dead letter, implantação automática em provedores de nuvem, testes A/B, loops de feedback de clientes, resposta a incidentes, circuit breakers e auto-recuperação. Gerencia limites de taxa via checkpoints de estado distribuído e retomada automática com backoff exponencial. Requer flag --dangerously-skip-permissions.

日本語の概要は準備中です。原文の説明を表示しています。

[Git] Use when you need to create isolated git worktree for parallel development.

日本語の概要は準備中です。原文の説明を表示しています。

[Decision Support] Use when pressure-testing irreversible, high-stakes decisions with adversarial AI advisors.

日本語の概要は準備中です。原文の説明を表示しています。

[Git] Use when the user asks to compare branches, analyze git diffs, review changes between branches, update specifications based on code changes, or analyze what changed.

日本語の概要は準備中です。原文の説明を表示しています。

[Architecture] Use when grading project architecture and scalability quality for greenfield init or brownfield audit: build/CI scalability, distributed-monolith risk, module isolation, dependency discipline, loose coupling, horizontal scaling, DRY, abstraction, clean architecture, observability, and delivery.

日本語の概要は準備中です。原文の説明を表示しています。