Results for “da”

HuggingFace hf CLI: search/download/upload models, datasets.

HuggingFace hf CLI: search/download/upload models, datasets.

Supabase-first database schema design for Nick's app stack. Generate production-ready Postgres schemas, Supabase SQL migrations, RLS policies, TypeScript types, seed data, role-aware access patterns, and schema checklists from plain English requirements. Use when starting any new project database, designing or reviewing schemas, adding tables, planning migrations, or turning product requirements into Supabase-ready data models. Bias toward product-led schema design, MVP discipline, core-workflow-first modeling, and avoiding premature table/role sprawl.

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

Failure diagnosis, DAG mutation, and escalation engine for the WinDAGs meta-DAG. Receives failure information and quality vectors from the Evaluator. Classifies failures on four dimensions. Follows a five-level escalation ladder. Applies seven mutation types with saga compensation. Enforces BC-EXEC-002, BC-EXEC-003, BC-FAIL-002, BC-FAIL-005. Activate when operating as the Mutator role in the meta-DAG, when diagnosing node failures, when restructuring a DAG at runtime, or when deciding escalation level.

Criar projetos, serviços e bancos de dados no Railway com configuração adequada. Use quando o usuário disser "setup", "deploy to railway", "initialize", "create project", "create service", ou quiser fazer deploy do GitHub. Gerencia setup inicial E adição de serviços a projetos existentes. Para bancos de dados, use a skill railway-railway-database em vez disso.

Plan and execute zero-downtime migrations for databases, services, and infrastructure with automated compatibility validation and rollback strategy generation.

Provides CRUD operations for Azure Cosmos DB NoSQL API from Rust, including document management, container operations, and globally distributed data access.

Manage Azure AI Foundry projects with .NET SDK: create and run agents, manage connections, datasets, deployments, evaluations, and indexes.

Find Earth2Studio models, data sources, and examples for weather/climate use cases by consulting live documentation and verifying compatibility via the lexicon system.

Manage design tokens by listing, adding, and updating them while keeping JSON sources, CSS variables, and dark-mode values in sync.

Orchestrate dynamic multi-agent workflows with parallel agents and adversarial verification via a local daemon, or fall back to native agent orchestration.

Optimizes Qdrant query performance for large limits across multiple shards by using Poisson-distributed subsampling to reduce inter-shard data transfer.

Systematically diagnose and resolve performance issues in Power BI models, reports, and queries using a structured troubleshooting methodology.

Generates Mermaid diagrams from code graphs, including call graphs, class hierarchies, module dependency maps, and data flow visualizations.

Simplify molecular cheminformatics with a Pythonic wrapper around RDKit for SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, and parallel processing.

Optimizes SQL queries, designs database schemas, and troubleshoots performance issues using execution plan analysis, indexing strategies, and set-based operations.

Write compelling B2B case studies using the STAR framework, with research, data visualization, and distribution formats.

Provides code examples and best practices for using Pinecone, a managed vector database for production RAG, recommendation, and semantic search applications.

Design a theming architecture that supports brand variants, dark mode, and high-contrast modes with token mapping.

Provides practical patterns for using fp-ts with React, including hooks, state management, form validation, and data fetching.

Onboard a paid-media client by collecting business details, configuring data lifecycle policies, and setting mutation guardrails without storing secrets.

Transforms A/B test and product experiment data into actionable readouts with hypothesis, metrics, interpretation, and decision.

Prüft Frist, Form, Zuständigkeit, Rechtsweg und Sofortmaßnahmen für eine Meldung nach Art. 33 DSGVO an die HBDI und liefert eine Fristen- und Risikoampel mit Sofortschritten.

Generates images via OpenAI, Google, DashScope, and Replicate APIs, supporting text prompts, reference images, aspect ratios, and quality presets.

Build streaming data pipelines with Redpanda Connect using declarative YAML configs, Bloblang mappings, and component discovery. Covers running, linting, and dry-running pipelines.

Designs launch momentum for products, skills, campaigns, and digital releases by structuring first-day trigger sequences, attention concentration, and breakout timing.

Guides backend development across API design, authentication, databases, performance, security, scalability, and testing, with quick decision guides and defaults for production-ready systems.

Designs scalable GraphQL APIs with schema design, DataLoader for N+1 prevention, and Apollo Client caching, while avoiding common anti-patterns.

Systematically explore an unfamiliar codebase and build a reusable architecture summary with file:line evidence, starting from documentation and tracing data flow.

Runs SQL queries and data conversions on CSV, Parquet, and JSON files using the DuckDB command-line interface, including schema inspection and output formatting.

Generates a comprehensive, editable schema reference file for a data warehouse, including table metadata, row counts, and codebase context, to enable instant concept-to-table lookups.

Organizes persistent company memory using a PARA-structured knowledge base with daily notes, atomic facts, and entity tracking for cross-session agent recall.

Analyzes TiDB cluster topology, slow queries, hot regions, and SQL performance using read-only database and API queries.

Provides a pre-built Salesforce Service Cloud data model template with Mermaid diagrams, ASCII fallback, and relationship summaries for documentation and analysis.

Discovers and executes external APIs and tools dynamically via the QVeris API, covering weather, stock data, web search, and more.