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AI-driven integration of cellular imaging, laser microdissection, and ultra-sensitive mass spectrometry for spatially-resolved single-cell proteomics.

Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.

Crie vídeos de marketing com IA para anúncios, promoções, lançamentos de produtos e conteúdo de marca, utilizando modelos como Veo e Kokoro para visuais e narração. Isso inclui demonstrações de produtos, depoimentos e vídeos explicativos para plataformas como Facebook e YouTube.

Diffusion-based docking that predicts protein-ligand poses without a predefined site. Use for blind docking, when traditional docking fails, or exploring multiple binding modes. Pipeline: prep protein (PDB) and ligand (SMILES/SDF), run inference, analyze confidence-ranked poses.

Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.

Construa e implante backends do Firebase Data Connect com PostgreSQL. Utilize para design de esquema, queries/mutações GraphQL, autorização e geração de SDK para aplicativos web, Android, iOS e Flutter.

Comprehensive, data-backed email marketing knowledge base. 908 sources, 4,798 insights. Use when reviewing email setups, building automation flows, diagnosing deliverability, writing email copy, selecting platforms, or pulling benchmarks. Covers strategy, flows, deliverability, copywriting, segmentation, compliance, cold email, and 19 industry playbooks.

Generate initial project planning documents (PVS, ADR, Tech Spec, Roadmap) from a project concept description. Use when starting a new project, when docs/planning/ contains placeholder files, or when user requests project planning document generation.

End-to-end GWAS workflow from VCF to association results. Covers PLINK QC, population structure correction, and association testing for case-control or quantitative traits. Use when running genome-wide association studies.

Advanced coverage analysis with actionable insights. Use to identify coverage gaps, suggest specific tests, track coverage trends, and highlight critical uncovered code. Essential for reaching 80%+ coverage target.

Use this skill for reinforcement learning tasks including training RL agents (PPO, SAC, DQN, TD3, DDPG, A2C, etc.), creating custom Gym environments, implementing callbacks for monitoring and control, using vectorized environments for parallel training, and integrating with deep RL workflows. This skill should be used when users request RL algorithm implementation, agent training, environment desi

SDK de Gerenciamento do Azure Bot Service para Python, utilizado para criar, gerenciar e configurar recursos do Azure Bot Service.