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Found 9,422 Skills
Expert in Natural Language Processing, designing systems for text classification, NER, translation, and LLM integration using Hugging Face, spaCy, and LangChain. Use when building NLP pipelines, text analysis, or LLM-powered features. Triggers include "NLP", "text classification", "NER", "named entity", "sentiment analysis", "spaCy", "Hugging Face", "transformers".
Guidelines for building high-performance APIs with Fastify and TypeScript, covering validation, Prisma integration, and testing best practices
Comprehensive Pydantic data validation skill for customer support tech enablement - covering BaseModel, Field validation, custom validators, FastAPI integration, BaseSettings, serialization, and Pydantic V2 features
Build AI-powered Ruby applications with RubyLLM. Full lifecycle - chat, tools, streaming, Rails integration, embeddings, and production deployment. Covers all providers (OpenAI, Anthropic, Gemini, etc.) with one unified API.
Use when starting Auth0 integration in any framework - detects your stack (React, Next.js, Vue, Angular, Express, React Native) and routes to correct SDK setup workflow
Build complete demo projects from scratch. Takes a project description (presentation website, shop, dashboard, SaaS, portfolio, etc.) and scaffolds a full working Next.js + Tailwind CSS 3.4 app ready for Vercel deployment. Supports optional database integration when a DATABASE_URL is provided. Use when the user wants to build a demo, create a project, scaffold an app, prototype something, or spin up a quick site.
Complete fullstack development mastery covering modern web architectures, automation tools, AI integration, and production deployment practices
Specific rules for Starknet React projects, focusing on blockchain integration.
Provides comprehensive NestJS best practices including modular architecture, dependency injection scoping, exception filters, DTO validation with class-validator, and Drizzle ORM integration. Use when designing NestJS modules, implementing providers, creating exception filters, validating DTOs, or integrating Drizzle ORM within NestJS applications.
ALWAYS use when building realtime features with Ably — messaging, chat, collaboration, presence, or AI token streaming. Covers product and SDK selection (Pub/Sub vs Chat vs Spaces vs LiveObjects), authentication (JWT, token auth, authUrl), channel design, React integration, and critical mistakes like missing Chat attach(), client-side API key exposure, and creating Ably clients inside components. Fetches current docs from ably.com/llms.txt before generating code. Not for general WebSocket or non-Ably realtime libraries.
Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.
Add Olakai monitoring to existing AI code — wrap your LLM client, configure custom KPIs, and validate the integration end-to-end