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Found 1,835 Skills
Python backend patterns for asyncio, FastAPI, SQLAlchemy 2.0 async, and connection pooling. Use when building async Python services, FastAPI endpoints, database sessions, or connection pool tuning.
Creates repository following Clean Architecture with Protocol in domain layer and Implementation in infrastructure layer. Use when adding new data access layer, creating database interaction, implementing persistence, or need to store/retrieve domain models. Enforces Protocol/ABC pattern with ServiceResult, ManagedResource lifecycle, and proper layer separation. Triggers on "create repository for X", "implement data access for Y", "add persistence layer", or "store/retrieve domain model".
SQL optimization best practices for OceanBase database (MySQL & Oracle modes). Covers query optimization, index usage, execution plan analysis, slow query tuning, and performance optimization techniques. Activates for SQL optimization, query performance, index design, execution plan, slow query, database performance.
Unify EliteForge Java coding specifications, covering code style, comment specifications, POJO/enum/util classes, control statements, logging, concurrency, MyBatis-Plus, transactions, Spring, inter-service calls, Maven, databases, gateways, interface management, project structure, etc. Use this when users mention terms like "Java specification", "coding specification", "code style", "enum writing", "POJO specification", "logging specification", "transaction processing", "inter-service calls", "interface prefix", "domain model", "Maven version", "internationalization".
TensorLake SDK for building agentic workflows, sandboxed code execution, and document parsing/extraction. Use when the user mentions tensorlake, or asks about TensorLake APIs/docs/capabilities. Also use when the user is building AI agents or agentic applications that need serverless workflow orchestration (parallel map/reduce DAGs), sandboxed execution of LLM-generated code, or document parsing, structured extraction, and OCR from PDFs/images. Works with any LLM provider (OpenAI, Anthropic), agent framework (LangChain, CrewAI, LlamaIndex), database, or API as the infrastructure layer.
AWS cloud resources including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, databases, serverless, messaging, and cost optimization. Monitor AWS infrastructure, analyze resource usage, optimize costs, and ensure security compliance.
AIOps-style one-click inspection skill for CloudBase resources. Use this skill when users need to diagnose errors, check resource health, inspect logs, or run a comprehensive health check across cloud functions, CloudRun services, databases, and other CloudBase resources.
Builds reactive real-time backends on the iii engine. Use when building event-driven apps where state changes automatically trigger side effects, clients receive live updates via streams or websockets, or you need a real-time database layer with pub/sub and CRUD endpoints.
Use when working with Nuxt Content v3 - provides collections (local/remote/API sources), queryCollection API, MDC rendering, database configuration, NuxtStudio integration, hooks, i18n patterns, and LLMs integration
Search and deploy services from Railway's template marketplace. Use when user wants to add a service from a template, find templates for a specific use case, or deploy tools like Ghost, Strapi, n8n, Minio, Uptime Kuma, etc. For databases (Postgres, Redis, MySQL, MongoDB), prefer the railway-database skill.
Build Next.js apps for the Whop platform. For empty repos, guides users from idea to deployed app through discovery and setup. For existing projects, provides best practices for authentication, payments, webhooks, and UI. Triggers on "build me a Whop app", @whop/sdk, verifyUserToken, checkAccess, checkout flows, webhook handling, Experience/Dashboard pages, Frosted UI. Delegates to companion skills (frontend-design, vercel-react-best-practices, supabase-postgres-best-practices, web-design-guidelines) for design, performance, and database.
Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, Cloud Storage). Use when deploying serverless functions to the edge, configuring edge computing solutions, managing Docker containers and images, setting up CI/CD pipelines, optimizing cloud infrastructure costs, implementing global caching strategies, working with cloud databases, or building cloud-native applications.