Total 45,049 skills
Showing 12 of 45049 skills
Implements search and filter interfaces for both frontend (React/TypeScript) and backend (Python) with debouncing, query management, and database integration. Use when adding search functionality, building filter UIs, implementing faceted search, or optimizing search performance.
Optimizing vector embeddings for RAG systems through model selection, chunking strategies, caching, and performance tuning. Use when building semantic search, RAG pipelines, or document retrieval systems that require cost-effective, high-quality embeddings.
Expert in commercial real estate lease agreements for industrial and office properties. Use when reviewing lease terms, negotiating base rent/operating expenses, analyzing tenant improvements and free rent, structuring net lease vs gross lease deals, evaluating renewal options, or advising on landlord/tenant rights. Key terms include base rent, operating expenses, proportionate share, TI allowance, net lease, triple net, lease economics, rent escalation, use clause, assignment restrictions, default remedies, Schedule G
Generate optimized prompts for AI image and video generation. Triggers on "generate a prompt for", "write me a prompt", "create an image prompt", "create a video prompt", "optimize this prompt".
Configure nginx for static sites, reverse proxying, load balancing, SSL/TLS termination, caching, and performance tuning. When setting up web servers, application proxies, or load balancers, this skill provides production-ready patterns with modern security best practices for TLS 1.3, rate limiting, and security headers.
Data pipelines, feature stores, and embedding generation for AI/ML systems. Use when building RAG pipelines, ML feature serving, or data transformations. Covers feature stores (Feast, Tecton), embedding pipelines, chunking strategies, orchestration (Dagster, Prefect, Airflow), dbt transformations, data versioning (LakeFS), and experiment tracking (MLflow, W&B).
Design and implement Azure cloud architectures using best practices for compute, storage, databases, AI services, networking, and governance. Use when building applications on Microsoft Azure or migrating workloads to Azure cloud platform.
Deployment patterns from Kubernetes to serverless and edge functions. Use when deploying applications, setting up CI/CD, or managing infrastructure. Covers Kubernetes (Helm, ArgoCD), serverless (Vercel, Lambda), edge (Cloudflare Workers, Deno), IaC (Pulumi, OpenTofu, SST), and GitOps patterns.
Displays progress dashboard showing phase completion, blocked tasks, and remaining work estimate. Provides at-a-glance view of implementation status. Run anytime to check progress.
Local LLM inference with Ollama. Use when setting up local models for development, CI pipelines, or cost reduction. Covers model selection, LangChain integration, and performance tuning.
Guidelines for Go documentation including doc comments, package docs, godoc formatting, runnable examples, and signal boosting. Use when writing or reviewing documentation for Go packages, types, functions, or methods.
Deploy and debug Eve-compatible apps via the CLI, with a focus on staging environments.