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Found 955 Skills
Bash Script Helper - Auto-activating skill for DevOps Basics. Triggers on: bash script helper, bash script helper Part of the DevOps Basics skill category.
Yaml Config Validator - Auto-activating skill for DevOps Basics. Triggers on: yaml config validator, yaml config validator Part of the DevOps Basics skill category.
Design Azure architectures for startups and enterprises. Use when asked to design Azure infrastructure, create Bicep/ARM templates, optimize Azure costs, set up Azure DevOps pipelines, or migrate to Azure. Covers AKS, App Service, Azure Functions, Cosmos DB, and cost optimization.
Package Json Manager - Auto-activating skill for DevOps Basics. Triggers on: package json manager, package json manager Part of the DevOps Basics skill category.
Argocd App Deployer - Auto-activating skill for DevOps Advanced. Triggers on: argocd app deployer, argocd app deployer Part of the DevOps Advanced skill category.
Branch Naming Helper - Auto-activating skill for DevOps Basics. Triggers on: branch naming helper, branch naming helper Part of the DevOps Basics skill category.
Manage IAM users, roles, and policies. Implement least-privilege access and security best practices. Use when configuring AWS identity and access management.
Apply AWS Prescriptive Guidance for TypeScript CDK development. Triggers when creating, modifying, or reviewing AWS CDK stacks, L2 constructs, multi-environment configurations, cdk-nag security scanning, unit testing, or dependency version management. Use for any task involving CDK code in bin/, lib/, config/, or test/.
Provision GCP infrastructure with Terraform. Configure providers and deploy Google Cloud resources. Use when implementing IaC for GCP.
Configure AWS CloudTrail for audit logging. Set up organization trails and event analysis. Use when auditing AWS activity.
Comprehensive Kubernetes debugging and troubleshooting toolkit. Use this skill when diagnosing Kubernetes cluster issues, debugging failing pods, investigating network connectivity problems, analyzing resource usage, troubleshooting deployments, or performing cluster health checks.
Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. Track spend by team and model, set budgets, and implement cost-aware routing.