Terraform IaC development with HCL syntax, module design, state management, and Terragrunt wrapper patterns. MUST load when .tf files or terragrunt.hcl are detected, or go.mod contains 'terraform'. Covers AWS/GCP infrastructure patterns and mise task automation. For Docker infrastructure, use managing-docker instead. For broader DevOps methodology and IaC tool comparison, use practicing-devops instead. For AWS CDK (TypeScript/Python IaC), use developing-aws instead.
Develops Terraform infrastructure as code with HCL syntax, state management, and cloud provider patterns.
npx claudepluginhub sumik5/sumik-claude-pluginThis skill inherits all available tools. When active, it can use any tool Claude has access to.
INSTRUCTIONS.mdreferences/ADVANCED-PATTERNS.mdreferences/AWS-PRACTICE.mdreferences/CD-DEPLOYMENT.mdreferences/CI-QUALITY.mdreferences/COMMANDS.mdreferences/GCP-PRACTICE.mdreferences/MODULES.mdreferences/PLAN-AND-GRAPH.mdreferences/PROVIDER-DEVELOPMENT.mdreferences/STATE-IN-DEPTH.mdreferences/TERRAGRUNT-STRUCTURE.mdreferences/TERRAGRUNT.mdreferences/TESTING-IN-DEPTH.mdreferences/TESTING.md詳細な手順・ガイドラインは INSTRUCTIONS.md を参照してください。
Expert guidance for Next.js Cache Components and Partial Prerendering (PPR). **PROACTIVE ACTIVATION**: Use this skill automatically when working in Next.js projects that have `cacheComponents: true` in their next.config.ts/next.config.js. When this config is detected, proactively apply Cache Components patterns and best practices to all React Server Component implementations. **DETECTION**: At the start of a session in a Next.js project, check for `cacheComponents: true` in next.config. If enabled, this skill's patterns should guide all component authoring, data fetching, and caching decisions. **USE CASES**: Implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, debugging cache issues, and reviewing Cache Component implementations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.