anyscale

Advanced Terraform provider development patterns the official HashiCorp skills do not cover. Use when implementing Test-Driven Development (TDD) workflows (RED-GREEN-REFACTOR with parallel execution), writing drift detection tests with external API modification, using advanced state checks (statecheck.ExpectKnownValue, CompareValue, tfjsonpath, knownvalue, ExpectSensitiveValue), using plan checks (plancheck.ExpectEmptyPlan/ExpectNonEmptyPlan) for idempotency, designing API client architecture (auth, retry, cookie jars), or applying HashiCorp's five core design principles (single API, single object, schema alignment, import, version continuity). For scaffolding a new provider or basic CRUD/schema patterns, use new-terraform-provider and provider-resources instead.

Coverage gap analysis and parallel acceptance test execution tooling for Terraform providers. Use when (1) running coverage gap analysis to find missing drift/import/idempotency tests, (2) running large acceptance test suites in parallel (4x-8x speedup over sequential `go test`), (3) doing fast compile-only verification after test edits, or (4) bootstrapping an example-validation script. For test patterns (statecheck, plancheck, scenario templates), use the official `provider-test-patterns` skill. For running a single TestAcc, use `run-acceptance-tests`.

This skill empowers Claude to build reusable Terraform modules based on user specifications. It leverages the terraform-module-builder plugin to generate production-ready, well-documented Terraform module code, incorporating best practices for security, scalability, and multi-platform support. Use this skill when the user requests to create a new Terraform module, generate Terraform configuration, or needs help structuring infrastructure as code using Terraform. The trigger terms include "create Terraform module," "generate Terraform configuration," "Terraform module code," and "infrastructure as code."

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Create, maintain, format, and publish Anyscale console templates. Use for a new template, a Ray-version bump, BUILD.yaml edits, repo conventions, or publishing to dev/staging/prod.

Expert in Apache Ray distributed computing. Use when converting Python code to Ray workloads, debugging Ray applications, optimizing Ray performance, or working with Ray Core, Ray Data, Ray Train, Ray Serve, or Ray Tune. Automatically fetches relevant documentation from Ray, HuggingFace, PyTorch, and other ML/distributed frameworks based on code context.