Skills publicadas
Mostrando 12 de 4.595data-engineer
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
hig-inputs
Verifique o arquivo .claude/apple-design-context.md antes de fazer perguntas. Utilize o contexto existente e solicite apenas informações ainda não abordadas.
skill-check
Valida as skills do Claude Code contra a especificação agentskills, identificando problemas estruturais, semânticos e de nomenclatura antes que os usuários o façam.
seo-content-writer
Writes SEO-optimized content based on provided keywords and topic briefs. Creates engaging, comprehensive content following best practices. Use PROACTIVELY for content creation tasks.
file-path-traversal
Identificar e explorar vulnerabilidades de path traversal (directory traversal), permitindo que atacantes leiam arquivos arbitrários no servidor, como configurações sensíveis, credenciais e código-fonte.
lightning-channel-factories
Technical reference on Lightning Network channel factories, multi-party channels, LSP architectures, and Bitcoin Layer 2 scaling without soft forks. Covers Decker-Wattenhofer, timeout trees, MuSig2 key aggregation, HTLC/PTLC forwarding, and watchtower breach detection.
fda-food-safety-auditor
Expert AI auditor for FDA Food Safety (FSMA), HACCP, and PCQI compliance. Reviews food facility records and preventive controls.
async-python-patterns
Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
hugging-face-community-evals
Run local evaluations for Hugging Face Hub models with inspect-ai or lighteval.
changelog-automation
Automate changelog generation from commits, PRs, and releases following Keep a Changelog format. Use when setting up release workflows, generating release notes, or standardizing commit conventions.
ml-engineer
Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring.
deep-research
Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.