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Claude Skills by ancoleman
github.com/ancoleman76 skills10 installs244 views
- Administering LinuxComprehensive Linux system administration for managing servers, deploying applications, and troubleshooting production issues in modern cloud-native environments.Votes: 0GitHub stars: 517
- Ai Data EngineeringData 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).Votes: 0GitHub stars: 517
- Architecting DataStrategic guidance for designing modern data platforms, covering storage paradigms (data lake, warehouse, lakehouse), modeling approaches (dimensional, normalized, data vault, wide tables), data mesh principles, and medallion architecture patterns. Use when architecting data platforms, choosing between centralized vs decentralized patterns, selecting table formats (Iceberg, Delta Lake), or designing data governance frameworks.Votes: 0GitHub stars: 517
- Architecting NetworksDesign secure, scalable cloud network architectures using proven patterns across AWS, GCP, and Azure. This skill provides decision frameworks for VPC design, subnet strategy, zero trust implementation, and hybrid connectivity.Votes: 0GitHub stars: 517
- Architecting SecurityDesign and implement comprehensive security architectures that protect systems, data, and users through layered defense strategies, zero trust principles, and risk-based security controls.Votes: 0GitHub stars: 517
- Assembling ComponentsAssembles component outputs from AI Design Components skills into unified, production-ready component systems with validated token integration, proper import chains, and framework-specific scaffolding. Use as the capstone skill after running theming, layout, dashboard, data-viz, or feedback skills to wire components into working React/Next.js, Python, or Rust projects.Votes: 0GitHub stars: 517
- Building Ai ChatBuilds AI chat interfaces and conversational UI with streaming responses, context management, and multi-modal support. Use when creating ChatGPT-style interfaces, AI assistants, code copilots, or conversational agents. Handles streaming text, token limits, regeneration, feedback loops, tool usage visualization, and AI-specific error patterns. Provides battle-tested components from leading AI products with accessibility and performance built in.Votes: 0GitHub stars: 517
- Building Ci PipelinesConstructs secure, efficient CI/CD pipelines with supply chain security (SLSA), monorepo optimization, caching strategies, and parallelization patterns for GitHub Actions, GitLab CI, and Argo Workflows. Use when setting up automated testing, building, or deployment workflows.Votes: 0GitHub stars: 517
- Building ClisBuild professional command-line interfaces across Python, Go, and Rust using modern frameworks with robust argument parsing, configuration management, and shell integration.Votes: 0GitHub stars: 517
- Building FormsBuild accessible, user-friendly forms with systematic component selection, validation strategies, and UX best practices.Votes: 0GitHub stars: 517
- Building TablesBuilds tables and data grids for displaying tabular information, from simple HTML tables to complex enterprise data grids. Use when creating tables, implementing sorting/filtering/pagination, handling large datasets (10-1M+ rows), building spreadsheet-like interfaces, or designing data-heavy components. Provides performance optimization strategies, accessibility patterns (WCAG/ARIA), responsive designs, and library recommendations (TanStack Table, AG Grid).Votes: 0GitHub stars: 517
- Configuring FirewallsConfigure host-based firewalls (iptables, nftables, UFW) and cloud security groups (AWS, GCP, Azure) with practical rules for common scenarios like web servers, databases, and bastion hosts. Use when exposing services, hardening servers, or implementing network segmentation with defense-in-depth strategies.Votes: 0GitHub stars: 517
- Configuring NginxConfigure 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.Votes: 0GitHub stars: 517
- Creating DashboardsCreates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts. Use this skill when building business intelligence dashboards, monitoring systems, executive reports, or any interface that requires multiple coordinated data displays with filters, metrics, and visualizations working together.Votes: 0GitHub stars: 517
- Debugging TechniquesDebugging workflows for Python (pdb, debugpy), Go (delve), Rust (lldb), and Node.js, including container debugging (kubectl debug, ephemeral containers) and production-safe debugging techniques with distributed tracing and correlation IDs. Use when setting breakpoints, debugging containers/pods, remote debugging, or production debugging.Votes: 0GitHub stars: 517
- Deploying ApplicationsProduction deployment patterns from Kubernetes to serverless and edge functions. Bridges the gap from application assembly to production infrastructure.Votes: 0GitHub stars: 517
- Deploying On AwsSelecting and implementing AWS services and architectural patterns. Use when designing AWS cloud architectures, choosing compute/storage/database services, implementing serverless or container patterns, or applying AWS Well-Architected Framework principles.Votes: 0GitHub stars: 517
- Deploying On AzureDesign and implement Azure cloud architectures following Microsoft's Well-Architected Framework and best practices for service selection, cost optimization, and security.Votes: 0GitHub stars: 517
- Deploying On GcpBuild applications and infrastructure using Google Cloud Platform services with appropriate service selection, architecture patterns, and best practices.Votes: 0GitHub stars: 517
- Designing ApisDesign well-structured, scalable APIs using REST, GraphQL, or event-driven patterns. Focus on resource design, versioning, error handling, pagination, rate limiting, and security.Votes: 0GitHub stars: 517
- Designing Distributed SystemsDesign scalable, reliable, and fault-tolerant distributed systems using proven patterns and consistency models.Votes: 0GitHub stars: 517
- Designing LayoutsDesigns layout systems and responsive interfaces including grid systems, flexbox patterns, sidebar layouts, and responsive breakpoints. Use when structuring app layouts, building responsive designs, or creating complex page structures.Votes: 0GitHub stars: 517
- Designing SdksDesign client libraries (SDKs) with excellent developer experience through intuitive APIs, robust error handling, automatic retries, and consistent patterns across programming languages.Votes: 0GitHub stars: 517
- Displaying TimelinesDisplays chronological events and activity through timelines, activity feeds, Gantt charts, and calendar interfaces. Use when showing historical events, project schedules, social feeds, notifications, audit logs, or time-based data. Provides implementation patterns for vertical/horizontal timelines, interactive visualizations, real-time updates, and responsive designs with accessibility (WCAG/ARIA).Votes: 0GitHub stars: 517
- Embedding OptimizationOptimize embedding generation for cost, performance, and quality in RAG and semantic search systems.Votes: 0GitHub stars: 517
- Evaluating LlmsEvaluate Large Language Model (LLM) systems using automated metrics, LLM-as-judge patterns, and standardized benchmarks to ensure production quality and safety.Votes: 0GitHub stars: 517
- Generating DocumentationGenerate comprehensive technical documentation across multiple layers: API documentation, code documentation, documentation sites, architecture decisions, and system diagrams.Votes: 0GitHub stars: 517
- Guiding UsersImplements onboarding and help systems including product tours, interactive tutorials, tooltips, checklists, help panels, and progressive disclosure patterns. Use when building first-time experiences, feature discovery, guided walkthroughs, contextual help, setup flows, or user activation features. Provides timing strategies, accessibility patterns (keyboard, screen readers, reduced motion), and metrics for measuring onboarding success.Votes: 0GitHub stars: 517
- Implementing Api PatternsAPI design and implementation across REST, GraphQL, gRPC, and tRPC patterns. Use when building backend services, public APIs, or service-to-service communication. Covers REST frameworks (FastAPI, Axum, Gin, Hono), GraphQL libraries (Strawberry, async-graphql, gqlgen, Pothos), gRPC (Tonic, Connect-Go), tRPC for TypeScript, pagination strategies (cursor-based, offset-based), rate limiting, caching, versioning, and OpenAPI documentation generation. Includes frontend integration patterns for form...Votes: 0GitHub stars: 517
- Implementing ComplianceImplement continuous compliance with major regulatory frameworks through unified control mapping, policy-as-code enforcement, and automated evidence collection.Votes: 0GitHub stars: 517
- Implementing Drag DropImplements drag-and-drop and sortable interfaces with React/TypeScript including kanban boards, sortable lists, file uploads, and reorderable grids. Use when building interactive UIs requiring direct manipulation, spatial organization, or touch-friendly reordering.Votes: 0GitHub stars: 517
- Implementing GitopsImplement GitOps continuous delivery for Kubernetes using declarative, pull-based deployment models where Git serves as the single source of truth for infrastructure and application configuration.Votes: 0GitHub stars: 517
- Implementing MlopsOperationalize machine learning models from experimentation to production deployment and monitoring.Votes: 0GitHub stars: 517
- Implementing NavigationImplements navigation patterns and routing for both frontend (React/TS) and backend (Python) including menus, tabs, breadcrumbs, client-side routing, and server-side route configuration. Use when building navigation systems or setting up routing.Votes: 0GitHub stars: 517
- Implementing ObservabilityMonitoring, logging, and tracing implementation using OpenTelemetry as the unified standard. Use when building production systems requiring visibility into performance, errors, and behavior. Covers OpenTelemetry (metrics, logs, traces), Prometheus, Grafana, Loki, Jaeger, Tempo, structured logging (structlog, tracing, slog, pino), and alerting.Votes: 0GitHub stars: 517
- Implementing Realtime SyncImplement real-time communication for live updates, collaboration, and presence awareness across applications.Votes: 0GitHub stars: 517
- Implementing Search FilterImplement search and filter interfaces with comprehensive frontend components and backend query optimization.Votes: 0GitHub stars: 517
- Implementing Service MeshImplement production-ready service mesh deployments with Istio, Linkerd, or Cilium. Configure mTLS, authorization policies, traffic routing, and progressive delivery patterns for secure, observable microservices. Use when setting up service-to-service communication, implementing zero-trust security, or enabling canary deployments.Votes: 0GitHub stars: 517
- Implementing TlsConfigure TLS certificates and encryption for secure communications. Use when setting up HTTPS, securing service-to-service connections, implementing mutual TLS (mTLS), or debugging certificate issues.Votes: 0GitHub stars: 517
- Ingesting DataThis skill provides patterns for getting data INTO systems from external sources.Votes: 0GitHub stars: 517
- Load Balancing PatternsDistribute traffic across infrastructure using the appropriate load balancing approach, from simple round-robin to global multi-region failover.Votes: 0GitHub stars: 517
- Managing ConfigurationGuide users through creating, managing, and testing server configuration automation using Ansible. When automating server configurations, deploying applications with Ansible playbooks, managing dynamic inventories for cloud environments, or testing roles with Molecule, this skill provides idempotency patterns, secrets management with ansible-vault and HashiCorp Vault, and GitOps workflows for configuration as code.Votes: 0GitHub stars: 517
- Managing DnsConfigure and automate DNS records with proper TTL strategies, DNS-as-code patterns, and troubleshooting techniques.Votes: 0GitHub stars: 517
- Managing Git WorkflowsImplement structured Git workflows for team collaboration, code quality, and automated releases. This skill covers branching strategies, conventional commit formats, Git hooks, and monorepo management patterns.Votes: 0GitHub stars: 517
- Managing IncidentsProvide end-to-end incident management guidance covering detection, response, communication, and learning. Emphasizes SRE culture, blameless post-mortems, and structured processes for high-reliability operations.Votes: 0GitHub stars: 517
- Managing MediaImplements media and file management components including file upload (drag-drop, multi-file, resumable), image galleries (lightbox, carousel, masonry), video players (custom controls, captions, adaptive streaming), audio players (waveform, playlists), document viewers (PDF, Office), and optimization strategies (compression, responsive images, lazy loading, CDN). Use when handling files, displaying media, or building rich content experiences.Votes: 0GitHub stars: 517
- Managing VulnerabilitiesImplement comprehensive vulnerability detection and remediation workflows across containers, source code, dependencies, and running applications. This skill covers multi-layer scanning strategies, SBOM generation (CycloneDX and SPDX), risk-based prioritization using CVSS/EPSS/KEV, and CI/CD security gate patterns.Votes: 0GitHub stars: 517
- Model ServingLLM and ML model deployment for inference. Use when serving models in production, building AI APIs, or optimizing inference. Covers vLLM (LLM serving), TensorRT-LLM (GPU optimization), Ollama (local), BentoML (ML deployment), Triton (multi-model), LangChain (orchestration), LlamaIndex (RAG), and streaming patterns.Votes: 0GitHub stars: 517
- Operating KubernetesOperating production Kubernetes clusters effectively with resource management, advanced scheduling, networking, storage, security hardening, and autoscaling. Use when deploying workloads to Kubernetes, configuring cluster resources, implementing security policies, or troubleshooting operational issues.Votes: 0GitHub stars: 517
- Optimizing CostsOptimize cloud infrastructure costs through FinOps practices, commitment discounts, right-sizing, and automated cost management. Use when reducing cloud spend, implementing budget controls, or establishing cost visibility across AWS, Azure, GCP, and Kubernetes environments.Votes: 0GitHub stars: 517