Cloud & DevOps Agent Skills for ChatGPT

Build an ORL rule by creating workspace files, writing the rule using tree-sitter AST queries, and testing it.

Checks build, lint, type, test, and CI delivery gate failures.

Automatically detects project build environments and executes appropriate build and test commands across multiple languages and frameworks.

Build AI agents using Vercel AI SDK with Composio Tool Router for user-isolated tool sessions.

(hal-9000) Use when editing any file under plugins/hal-voice/ to bump the plugin version before committing

Bump the FutureSearch SDK version across all files.

Create or extend reusable Terraform modules with proper structure, interfaces, and documentation.

Expert C4 Container-level documentation specialist.

Design a cache invalidation and eviction strategy — event-driven invalidation and thundering herd prevention.

HTTP caching, service workers, cache invalidation, and CDN configuration.

CloudBase Run backend development rules (Function mode/Container mode).

Use when working with Canton Network participants, DAML smart contracts, Splice applications, or debugging LF version and package ID issues.

This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD…

Integrate CAST AI policy validation and cost checks into CI/CD pipelines.

Configure CAST AI autoscaler policies and node templates for cost optimization.

Configure CAST AI Workload Autoscaler for pod-level right-sizing and

Maximize Kubernetes cost savings with CAST AI spot strategies and right-sizing.

Deploy CAST AI across multi-cloud Kubernetes clusters with Terraform

Query CAST AI cluster savings report and node inventory.

Set up a local Kubernetes development loop with CAST AI cost monitoring.

CAST AI reference architecture for multi-cluster Kubernetes cost optimization.