Explorar skills

Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection. Use for calibration, uncertainty studies, parameter sweeps, LHS sampling, Sobol analysis, surrogate modeling, or Bayesian optimization setup.

Reading and managing Gmail emails - Sending emails with attachments - Replying to emails while maintaining thread continuity

Symbolic math in Python: exact algebra, calculus (derivatives, integrals, limits), equation solving, symbolic matrices, ODEs, code gen (lambdify, C/Fortran). Use for exact symbolic results. For numerical use numpy/scipy; for stats use statsmodels.

Expert performance engineer specializing in modern observability,

Amplicon sequence variant (ASV) inference from 16S rRNA or ITS amplicon sequencing using DADA2. Covers quality filtering, error learning, denoising, and chimera removal. Use when processing demultiplexed amplicon FASTQ files to generate an ASV table for downstream analysis.

Architecture assessment for Android projects. Evaluates Jetpack Compose adoption, UDF pattern (ViewModel + StateFlow), dependency injection, type-safe navigation, repository pattern, and module structure. Triggers on: "architecture", "compose adoption", "module structure", "dependency injection".

Manage breaking API changes, migration guides, deprecation notices, and semver versioning. Use when introducing breaking changes, writing migration paths, updating changelogs, or releasing major versions.

Orientação do Apple HIG para integrações de tecnologias Apple como Siri, Apple Pay, HealthKit, HomeKit, ARKit, aprendizado de máquina e IA generativa.

Deep generative models for single-cell omics: probabilistic batch correction (scVI), semi-supervised annotation (scANVI), CITE-seq RNA+protein (totalVI), transfer learning (scARCHES), and DE with uncertainty. Unified setup→train→extract API on AnnData. Use harmony-batch-correction for fast linear correction without deep learning; muon for multi-modal MuData workflows.

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

Implement GDPR-compliant data handling with consent management, data subject rights, and privacy by design. Use when building systems that process EU personal data, implementing privacy controls, or conducting GDPR compliance reviews.

Protocolo para anotações @feedback em código-fonte. Utilize quando o usuário mencionar @feedback, abordar feedbacks, fornecer feedback inline ou encontrar marcadores @feedback durante qualquer tarefa.