Explorar skills

Pesquisa documentação, encontra exemplos e explica APIs e bibliotecas, útil para consultar documentação oficial, encontrar exemplos de código, entender APIs de bibliotecas ou pesquisar melhores práticas.

Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.

Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.

Build agent-facing web experiences with ATXP-based authentication, following the ClawDirect pattern. Use this skill when building websites that AI agents interact with via MCP tools, implementing cookie-based agent auth, or creating agent skills for web apps. Provides templates using @longrun/turtle, Express, SQLite, and ATXP.

Auto-generates weekly KPI reports from multiple data sources including Supabase analytics, CRM data, financial spreadsheets, and email metrics. Produces executive-ready reports with dashboards, trends, highlights, concerns, and action items.

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in. Capabilities: drop-in agent, human-in-the-loop, client-side tools, form filling. Use for: building AI chat interfaces, agentic UIs, SaaS copilots, assistants. Triggers: agent component, agent ui, chat agent, shadcn agent, react agent, agentic ui

Assembles microbial-community sequencing into metagenome-assembled genomes (MAGs) with metaFlye (ONT), metaSPAdes/MEGAHIT (Illumina), and hifiasm-meta/metaMDBG (PacBio HiFi), then recovers genomes via multi-binner consolidation (MetaBAT2, MaxBin2, CONCOCT, SemiBin2, VAMB -> DAS_Tool) and QCs them against MIMAG with CheckM2, GUNC, and GTDB-Tk. Covers why a metagenome is not a genome (uneven coverag

Fast headless browser for fetching real web pages and scraping content. 9x less memory than Chrome, instant startup. Use instead of Playwright when you only need HTML content — no MCP overhead, pure CLI. Binary at ~/.local/bin/lightpanda.

Augmented Lagrangian for constrained optimization. Handles convex QP, smooth NLP, non-convex NLP, distributed ADMM, Safe RL, multi-objective. Trigger on: constrained optimization, KKT, ALM, ADMM, safe constraints, Pareto front, multi-objective. Also trigger for: shadow prices, sensitivity analysis, infeasibility diagnosis.

Padrões e melhores práticas genéricas de AIOps (IA para Operações de TI) para 2025, oferecendo estratégias de implementação abrangentes para monitoramento inteligente, automação, resposta a incidentes e observabilidade em qualquer infraestrutura. Esta abordagem agnóstica a frameworks suporta múltiplas plataformas de monitoramento, provedores de nuvem e ferramentas de automação.

Domain-Driven Design — strategic-first (bounded contexts, context mapping) with aggregates, value objects, domain events, repositories. Event sourcing out of scope. Use when shaping a domain model or designing aggregate boundaries.