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Claude Engineering Skills (Page 107 of 165)

Code review, refactoring, testing, DevOps, CI/CD, databases, cloud platforms, and full-stack development skills for Claude Code.

9,900 skills · updated 2026-05-03 · showing 6361–6420 of 9,900 by quality score

Deploy Google BeyondCorp Enterprise zero trust access controls using Identity-Aware Proxy (IAP), context-aware
Score 70/100
Implement HashiCorp Boundary for identity-aware zero trust infrastructure access management with dynamic credential
Score 70/100
Automatically validate and fix Django import patterns to use absolute modular imports with aliases. Use when writing imports, creating new Python files, modifying existing files,…
Score 70/100
既存リソースを Terraform に import する。「import して」「リソース import」「既存リソース取り込み」「terraform import」「インポート」「既存インフラを管理」「import ガイド」「リソースを terraform で管理」などで起動。
Score 70/100
Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM).
Score 70/100
Use when writing Python imports to verify the module and symbol exist at the claimed path before committing the line.
Score 70/100
Update all import statements, module references, string paths, and config references after moving or renaming files and modules.
Score 70/100
Explore a codebase to find opportunities for architectural improvement, focusing on making the codebase more testable by deepening shallow modules.
Score 70/100
Optional meta-skill for improving `chrislacey89/skills` from real-world friction or breakdowns discovered while using the pipeline in another repo.
Score 70/100
Refactor and improve code quality. Use for code refactoring, performance optimization, and quality improvements. Includes Context7 refactoring patterns lookup.
Score 70/100
Improve existing agent skills based on user feedback and best practices. Use when the user wants to fix, enhance, or refactor an existing skill.
Score 70/100
Apply IN7 Boundary Testing to explore extreme conditions to find system limits and breaking points.
Score 70/100
Skill encyclopédique pour Inazuma Eleven: Victory Road. Gère les recherches de joueurs, techniques, objets et stats via Inagle (Supabase).
Score 70/100
Analyze incident logs, extract error patterns, identify root causes, generate insights and metrics. Use when user mentions logs, incidents, errors, failures, debugging,…
Score 70/100
[Extended thinking: This workflow implements a sophisticated debugging and resolution pipeline that leverages AI-assisted debugging tools and observability platforms to…
Score 70/100
Constructs incident timelines from PagerDuty Events API v2, Datadog Monitors API, and Slack message archives. Correlates alerts with deployment events for root cause analysis.
Score 70/100
Break multi-file changes into atomic commits ordered by dependency. Use for refactors, breaking API changes, or features touching 3+ files.
Score 70/100
Build resilient data ingestion pipelines from APIs. Use when creating scripts that fetch paginated data from external APIs (Twitter, exchanges, any REST API) and need to track…
Score 70/100
Use when IMPLEMENTING refactoring changes. Enforces metrics-driven protocol with before/after measurements.
Score 70/100
Use when implementing features or refactoring with TDD - enforces writing ONE test at a time, implementing minimal code to pass, then repeating, preventing batch test writing that…
Score 70/100
Reference catalog for all running coach AI skills, shared TypeScript contracts, safety guardrails, and telemetry conventions.
Score 70/100
High-level technical SEO and site architecture auditor. Invoke to scan local or live environments for indexing, crawl budget, and structural errors.
Score 70/100
Use when designing or reviewing the integration layer between Salesforce Industries clouds (Insurance, Communications, Energy & Utilities) and vertical backend systems such as…
Score 70/100
Build modern SPAs with Inertia.js and Rails using React, Vue, or Svelte. Use when creating Inertia pages, handling forms with useForm, managing shared props, or implementing…
Score 70/100
Inference Latency Profiler - Auto-activating skill for ML Deployment. Triggers on: inference latency profiler, inference latency profiler Part of the ML Deployment skill category.
Score 70/100
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable.
Score 70/100
Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with tool calls, or when…
Score 70/100
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster…
Score 70/100
Design information architecture - site structure, navigation, card sorting, tree testing, taxonomy, labeling systems, and findability.
Score 70/100
Discover and adopt existing infrastructure - analyze Terraform structure, AWS profiles, and custom agents to generate faber-cloud configuration and migration plan
Score 70/100
Creates infrastructure as code configurations for cloud and on-premise deployments
Score 70/100
Design infrastructure solutions - analyze requirements, design cloud architecture, create comprehensive design documents with resource specifications, security considerations,…
Score 70/100
Audit infrastructure status, health, and compliance without modifications - provides observability and drift detection
Score 70/100
Analyze infrastructure deployment errors - categorize error types (permission/ config/resource/state), search issue log for historical solutions, rank solutions by success rate…
Score 70/100
Cal.com self-hosted deployment to GCP Cloud Run with Supabase PostgreSQL. Docker Compose for local dev.
Score 70/100
Deploy infrastructure - execute Terraform apply to create/update AWS resources, verify deployment success, update resource registry with ARNs and console URLs, generate deployment…
Score 70/100
Comprehensive infrastructure engineering covering DevOps, cloud platforms, FinOps, and DevSecOps. Platforms: AWS (EC2, Lambda, S3, ECS, EKS, RDS, CloudFormation), Azure basics,…
Score 70/100
Perform routine infrastructure maintenance: health checks, log rotation, certificate renewal, dependency updates, database maintenance, cache management, and capacity monitoring.
Score 70/100
Manage IAM permissions - grant missing permissions when deployments fail, maintain IAM audit trail, enforce profile separation, scope permissions to environment.
Score 70/100
Methods for determining the optimal resource allocation for compute, database, and network systems to balance cost and performance.
Score 70/100
JpaEntity, Adapter, Repository 클래스를 구현할 때 반드시 사용. 인프라 계층 구현 시 TDD(Red-Green-Refactor) 방식으로 진행. "JpaEntity 구현", "Adapter 구현", "Repository 구현", "영속성 계층" 작업 시 자동 발동.
Score 70/100
Enforces Terraform best practices for safe and scalable infrastructure as code. Emphasizes modularity, state management, and security. Automatically applied for IaC implementation.
Score 70/100
Test infrastructure configurations and deployments - security scanning with Checkov/tfsec, cost estimation analysis, pre-deployment validation, post- deployment verification,…
Score 70/100
Validate infrastructure configuration - run Terraform validate, check syntax, verify resource configurations, validate security settings, and ensure compliance with best…
Score 70/100
Infrastructure as Code patterns for deploying Guts nodes using Terraform, Docker, and Kubernetes
Score 70/100
Infrastructure-as-Code specialist for Terraform, AWS, Azure, and serverless architectures. Use when setting up cloud infrastructure, writing Terraform modules, or deploying to AWS…
Score 70/100
Provides Infrastructure as Code best practices for Terraform, Pulumi, CloudFormation, and OpenTofu. Use when provisioning infrastructure, writing IaC modules, managing cloud…
Score 70/100
Cross-cutting infrastructure security audit skill that checks cloud infrastructure, DNS, TLS, endpoints, access control, network security, containers, CI/CD pipelines, secrets…
Score 70/100
Help you discover how much you spend on AWS/GCP/Azure. This rulebook guides practitioners through proper cloud cost calculations, systematic resource discovery (via IaC analysis…
Score 70/100
Optimize cloud infrastructure costs through resource rightsizing, reserved instances, spot instances, and waste reduction strategies.
Score 70/100
Troubleshooting dependencies, installations, environment issues, and platform-specific problems. Use when facing npm/pip/package errors, installation failures, environment setup…
Score 70/100
Expert guide for documenting infrastructure including architecture diagrams, runbooks, system documentation, and operational procedures.
Score 70/100
Expert infrastructure design including networking, compute, storage, and operations
Score 70/100
Infrastructure guidelines for A4C-AppSuite. Covers idempotent Supabase SQL migrations with RLS policies, Kubernetes deployments for Temporal workers, CQRS projections with…
Score 70/100
Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or…
Score 70/100
Manage network hosts and devices across all UniFi sites. Monitor host status, device configuration, and infrastructure health for comprehensive inventory management.
Score 70/100
Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch…
Score 70/100
Set up comprehensive infrastructure monitoring with Prometheus, Grafana, and alerting systems for metrics, health checks, and performance tracking.
Score 70/100
Generate comprehensive network infrastructure reports including health status, performance analysis, security audits, and capacity planning recommendations.
Score 70/100
Transform infrastructure documentation, runbooks, and operational knowledge into reusable Claude Code skills.
Score 70/100
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