Explorar skills

Four-phase root cause investigation before attempting fixes. Use when debugging bugs, test failures, or unexpected behavior.

When the user wants to run CTV, OTT, or streaming TV ads. Also use when the user mentions "CTV ads," "connected TV," "OTT advertising," "streaming ads," "TV ads," "Hulu ads," "Roku ads," "YouTube TV ads," or "programmatic TV." For paid mix, use paid-ads-strategy.

Use when facing multi-criteria decisions like tech stack selection, architecture choices, or library comparisons. Applies the AHP (Analytic Hierarchy Process) framework to structure the decision into criteria hierarchies, perform multi-perspective pairwise comparisons, check consistency, score alternatives, and produce a ranked decision report with weighted trade-off analysis.

When the user wants to write a multi-part thread for Twitter/X, LinkedIn, or other platforms. Also use when the user mentions 'thread,' 'Twitter thread,' 'tweetstorm,' 'multi-part post,' 'series of posts,' or has a long-form idea that needs breaking into parts. For single posts, see post-writer-sms. For carousels, see carousel-writer-sms.

Verificação automatizada de conformidade com os benchmarks CIS, PCI-DSS, HIPAA e SOC 2.

Implemente padrões de arquitetura de backend comprovados, incluindo Arquitetura Limpa, Arquitetura Hexagonal e Domain-Driven Design. Utilize ao arquitetar sistemas de backend complexos ou refatorar aplicações existentes para melhor manutenibilidade.

Adapta-se ao modo de trabalho da sua equipe — somente humano, híbrido ou com prioridade para agentes — com fórmulas baseadas em pesquisa, faixas de confiança e o modelo de velocidade certo para cada um.

Next.js 15 애플리케이션을 위한 프론트엔드 개발 가이드라인. React 19, TypeScript, Shadcn/ui, Tailwind CSS를 사용한 모던 패턴. Server Components, Client Components, App Router, 파일 구조, Shadcn/ui 컴포넌트, 성능 최적화, TypeScript 모범 사례 포함. 컴포넌트, 페이지, 기능 생성, 데이터 페칭, 스타일링, 라우팅, 프론트엔드 코드 작업 시 사용.

Analyze meeting transcripts to extract decisions, action items, blockers, sentiment, and generate follow-up emails. Use when user provides meeting notes, transcripts, or recordings and needs structured summaries or action tracking.

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.

Habilidade de revisão de postura local exclusiva para Picoclaw, focada em descobertas somente leitura e orientação de remediação segura para o operador.

When the user needs a technical SEO audit, on-page optimization guidance, or help resolving crawlability, indexation, or performance issues that affect search rankings.