Results for “da”

Scales Python ML workloads across clusters using Ray's distributed tasks, actors, data, and serving capabilities.

Tests approaches at extreme scales (1000x bigger/smaller, instant/year-long) to expose fundamental truths hidden at normal scales.

Convierte especificaciones aprobadas en un plan técnico detallado, documentando decisiones de arquitectura, flujo de datos y cambios de archivos.

Implementa gestión de estado reactiva en Flutter con Riverpod, cubriendo providers, notifiers, testing y estructura de proyecto.

Architects, reviews, and scales backend systems with structured blueprints, trade-off analysis, and audit reports.

Creates interactive, publication-quality visualizations in Python with 40+ chart types, including hover, zoom, pan, and web-embeddable output.

用于单一上市股票的个股日报，解释涨跌和异动原因，梳理行情、资金流、新闻公告、板块联动、技术面、预期与风险。适用于“某股今天为什么涨跌”“做个日报”“近期表现”“资金面和消息面”等问题；默认先输出结构完整、观点深入的对话版分析，并询问是否写入飞书文档；不用于长期商业模式/护城河、财报业绩、行业/板块、多股主题、一级市场或大盘事件解读。

Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.

Populate an investment-banking pitch template from source data — situation, market, valuation, buyer landscape, and process recommendation — to win or advise on a mandate.

Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.

Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.

MONOPOLY is a Senior System Design Engineer skill for architecting, reviewing, and scaling systems. Triggers on requests involving architecture, databases, scaling, microservices, or infrastructure de

Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.

Structured policy briefing note (1-2 pages). Issue, background, analysis, options, recommendation. UK GES, Australian Treasury, consulting formats. Auto-populates from econstack data skills.

Pull data from a web page. First call on a new intent prototypes the flow via $B primitives and returns JSON. Subsequent calls on a matching intent route to a codified browser-skill and return in ~200ms. Read-only — for mutating flows (form fills, clicks, submissions), use /automate. Use when asked to "scrape", "get data from", "pull", "extract from", or "what's on" a page. (gstack)

Write idiomatic Kotlin 1.9+ with null safety, sealed classes, data classes, extension functions, delegates, collections, inline/reified generics, and expression syntax. Use for Kotlin language constructs, Java-to-Kotlin migration, lazy delegates, data classes, backing properties, or inline/reified generics; keep language constructs in scope even inside response models, and defer coroutine configuration, Android Context/framework, Retrofit/OkHttp client setup, and other library-specific recipes.

Mede o tamanho estrutural da feature ativa lendo requirements, duvidas, plan e tasks do ciclo forward, e gera size.json mais size.md com T-shirt sizing deterministico baseado em tasks e ajuste de risco. Use quando o usuario digitar "/reversa-pricing-size", "reversa-pricing-size", "dimensionar feature" ou "calcular tamanho da feature". Roda depois de `/reversa-to-do` e antes de `/reversa-pricing-estimate`.

Use to find cancellation, downgrade and switching intent in support conversations, and to be honest about how much of your churn support can actually see. Trigger for "which customers are at risk of leaving", "find cancellation intent", "customers asking how to export their data", "top reasons customers asked to close their account", competitor mentions, or building a churn early-warning signal from support data.

Redige o procedimento de producao antecipada de provas (CPC 381-383), enquadrando-o nas tres hipoteses do art. 381 (I — fundado receio de que se torne impossivel ou muito dificil verificar fatos na pendencia da acao; II — viabilizar autocomposicao; III — conhecimento previo dos fatos que justifique ou evite o ajuizamento), sem exigencia de urgencia nos incisos II e III, com competencia do foro da producao ou do domicilio do reu (381 §2), sem prevencao (381 §3), e sem o juiz se pronunciar sobre o fato (382 §2). Use quando o operador disser produzir prova antes, producao antecipada, perpetuar prova, pericia antes da acao, ouvir testemunha antes.

Redige contrarrazoes (resposta ao recurso da parte contraria) defendendo a decisao recorrida — preliminares de NAO CONHECIMENTO (intempestividade, desercao, falta de pressuposto), refutacao do merito recursal, devolucao de interlocutorias nao agravaveis (CPC 1.009 §1) e pedido de majoracao de honorarios recursais (85 §11). Prazo 15 dias uteis (1.003 §5). Use quando o operador disser contrarrazoes, responder ao recurso, fui intimado da apelacao/agravo, defender a sentenca, contraminuta.

Write idiomatic PHP code with generators, iterators, SPL data structures, and modern OOP features for high-performance applications.

Provides Python tools for biological computation, including sequence manipulation, file I/O, database access, structural bioinformatics, and phylogenetics.

Control browsers via a CLI tool that runs sandboxed JavaScript scripts for automation, testing, and data extraction.

Orchestrates end-to-end software development from scaffolding to deployment, covering frontend, backend, database, testing, and CI/CD workflows.

Find a single insight that eliminates multiple components by recognizing when seemingly different systems share a common underlying pattern.

Enforces rigorous ML modeling, feature engineering, training, and evaluation standards at principal-engineer level.

Build reactive backends with Convex: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Python data validation using type hints and runtime type checking with Pydantic v2's Rust-powered core for high-performance validation in FastAPI, Django, and configuration management.

Análise de espectrometria de massas. Processa mzML/MGF/MSP, similaridade espectral (cosine, modified cosine), harmonização de metadados, identificação de compostos, para metabolômica e processamento de dados MS.

Algorithm-first discipline: state Big-O, data structure, and algorithm family BEFORE writing loops, queries, or recursion. Catches O(n^2), N+1, and brute-force defaults.

Master enterprise-grade Scala development with functional programming, distributed systems, and big data processing. Expert in Apache Pekko, Akka, Spark, ZIO/Cats Effect, and reactive architectures.

This skill should be used when building portfolio dashboards, implementing balance checking, or adding multi-chain holdings views. Covers balances, holdings, and valuations across chains.

Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type annotation, trajectory, for scRNA-seq analysis.

Set up and track KPI dashboards with targets, actuals, and trend analysis. TRIGGERS - Use when user wants to define KPIs, track metrics, or create a scorecard.

Prepare the PRINCE2 Starting Up a Project material: mandate review, project brief, outline business case, project product description, initiation stage plan, lessons, and startup decisions.

Use when managing Render platform services, configuring render.yaml, provisioning Render databases, or automating Render infrastructure. This skill provides Render-specific operational patterns.