Explorar skills

Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.

Debug ML issues systematically -- tensor shapes, NaN propagation, gradient flow, device mismatches, dtype errors. Use when encountering training failures, unexpected outputs, or numerical issues.

Transforme ideias iniciais em designs detalhados por meio de diálogo estruturado. Utilize antes da implementação para refinar os requisitos.

When the user wants to optimize images for search engines and performance. Also use when the user mentions "image SEO," "alt text," "image captions," "figcaption," "image optimization," "WebP," "lazy loading," "LCP," "image sitemap," "responsive images," "srcset," "image format," or "hero image optimization." For CWV, use core-web-vitals.

Guide for implementing Grafana Tempo - a high-scale distributed tracing backend for OpenTelemetry traces. Use when configuring Tempo deployments, setting up storage backends (S3, Azure Blob, GCS), writing TraceQL queries, deploying via Helm, understanding trace structure, or troubleshooting Tempo issues on Kubernetes.

Detect transcription factor binding sites through footprinting analysis in ATAC-seq data using TOBIAS. Use when identifying TF occupancy patterns within accessible regions, as TF binding protects DNA from Tn5 cutting.

Corrigir problemas de desempenho de animação.

Use AI to merge individual page HTML files into a unified chapter document. Creates continuous document format for improved reading experience and semantic consistency.

Guia para gerenciar habilidades AgenticX, incluindo listar, buscar, instalar, desinstalar, publicar e executar um servidor de registro. Use para gerenciar, encontrar, publicar ou entender o ecossistema de habilidades.

分析健康目标数据、识别目标模式、评估目标进度,并提供个性化目标管理建议。支持与营养、运动、睡眠等健康数据的关联分析。

Metodologia OSINT abrangente para operações externas de red-team e avaliações autorizadas de superfície de ataque. Abrange um pipeline de reconhecimento de 5 estágios, disciplina de grafo de ativos, rubrica de severidade, fluxos de trabalho de atualização de confiança, orçamento de tempo, mapeamento de tecido de identidade, correlação de violação-identidade, marcação de detectabilidade, sondagem consciente de detecção, bypass de WAF/CDN, priorização de vulnerabilidades e infraestrutura de phishing.

Systematically debug a failing multi-agent workflow from a captured trace. Use when an agent system produces wrong outputs, gets stuck in loops, makes poor tool choices, or fails non-deterministically. The skill refuses to propose fixes without a captured trace because debugging without observation is guessing. Works with LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, and custom multi-agent setups