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SkillsMP has collected 1,360 skills from UitbreidenOS/UitKit. Open a skill to review its source and details.
UitbreidenOS/UitKitShowing 40 of 1,360 collected skills.
Deno 2 runtime: built-in TypeScript, permission model, deno.json config, npm compatibility, standard library, Deno KV, Deno Deploy edge runtime, Fresh framework islands architecture, and testing with Deno.test
- Building or maintaining a Laravel 11 application
REST API design: resource naming, versioning, pagination, error responses, rate limiting headers, idempotency, OpenAPI documentation
Django project layout, ORM models, migrations, DRF serializers, viewsets, Celery tasks, admin customization
FastAPI app structure, async routes, Pydantic models, SQLAlchemy, dependency injection, background tasks, TestClient
pytest deep dive: fixtures, parametrize, markers, mocking, async tests, coverage, conftest patterns, and CI integration
Python asyncio patterns: async/await, concurrent tasks, aiohttp, timeouts, queues, background tasks, common pitfalls
- Building or maintaining a Rails 7+ application
- Writing or reviewing Rust code with ownership, borrow checker, or lifetime errors
- Building iOS, iPadOS, or macOS apps with SwiftUI
Translate dashboard data and charts into plain-English narrative: key insights, anomalies, recommendations — written for non-technical stakeholders who don't read charts
Database migration patterns: zero-downtime schema changes, data backfills, Alembic, Prisma Migrate, Rails migrations
Data quality audit: identify nulls, duplicates, outliers, schema drift, and type mismatches — generate a data health report and remediation SQL
dbt models, sources, tests, macros, incremental models, documentation, CI integration, Jinja patterns
Designing or implementing event-driven architectures, building real-time data pipelines with Kafka, configuring producers and consumers in Python o...
MLflow experiment tracking, model registry, artifact logging, model serving, multi-run comparison, sklearn/PyTorch integration
Setting up ML pipelines end-to-end, deploying or serving trained models, configuring experiment tracking with MLflow or Weights & Biases, building ...
Building NLP systems end to end — text preprocessing, fine-tuning transformer models, named entity recognition (NER), text classification, sentimen...
Pandas and Polars data manipulation: filtering, groupby, joins, time series, performance optimization
PyTorch and TensorFlow model training, data loaders, GPU setup, checkpointing, inference optimization
Designing Gymnasium-compatible environments, training policies with Stable Baselines3, engineering or debugging reward functions, implementing curr...
Apache Spark DataFrames, Spark SQL, PySpark transformations, partitioning, UDFs, Structured Streaming, Delta Lake
SQL query writing and optimisation: complex joins, window functions, CTEs, indexes, query plans, migration patterns
Weekly and monthly stakeholder data report: headline metrics, trends, root cause analysis, action items — structured for executive and cross-functional audiences
Synthetic data generation: realistic relational datasets for testing, seeding, and ML training — Faker, factory patterns, constraint-aware generation
Writing or reviewing Solidity smart contracts, implementing ERC-20/721/1155 token standards, building DeFi protocols, optimizing gas costs, perform...
Drizzle ORM: TypeScript-first schema, relations, migrations, query builder, Neon/Supabase/PlanetScale integration — the AI-legible ORM
- Designing an Elasticsearch index mapping from scratch
GraphQL schema design, resolvers, mutations, subscriptions, DataLoader, Prisma integration, N+1 prevention
MongoDB patterns: schema design, aggregation pipeline, indexes, transactions, Atlas Search, Mongoose vs native driver
Neon serverless PostgreSQL: connection pooling, database branching, pgvector for AI, autoscaling patterns, Vercel integration
PostgreSQL backend patterns: full-text search, JSONB, arrays, pg_notify, PL/pgSQL functions, connection pooling with asyncpg and node-postgres
Prisma ORM: schema design, relations, migrations, nested writes, middleware, raw queries, type-safe database access
Redis patterns: caching, sessions, rate limiting, pub/sub, queues, distributed locks — with Python and Node.js examples
Supabase: Row Level Security policies, auth integration, realtime subscriptions, Storage, Edge Functions, pgvector
Turso: embedded SQLite for the edge — database setup, LibSQL client, schema design, multi-tenancy patterns, and deployment with Cloudflare Workers and Bun
- User is implementing semantic search, RAG pipelines, or recommendation systems
ArgoCD GitOps: declarative continuous delivery for Kubernetes — Application setup, sync policies, automated rollouts, RBAC, notifications, and multi-cluster management
AWS architecture design: serverless, three-tier, event-driven, and container patterns — CloudFormation/Terraform IaC, cost optimisation, IAM best practices, and startup-to-scale patterns
Azure architecture design: App Service, AKS, Azure Functions, Cosmos DB, Bicep IaC templates, cost optimisation, Entra ID integration, and migration patterns