StackQL Studios
Official@stackql · Australia
Cloud infrastructure, platform and software asset management and deployment automation software solutions.
Agent Skills by StackQL Studios
Showing 10 vetted skills indexed across 1 GitHub repositories.
stackqlinstall-stackql
Install or update the StackQL CLI across macOS, Linux, and Windows.
stackqlscaffold-stack
Generate a StackQL deployment scaffold with manifest and resource templates.
stackqlread-memories
Search Claude Code JSONL logs for decisions, patterns, and open TODOs.
stackqlpull-provider
Pull StackQL providers from the registry by name or version.
stackqlstackql-docs
Index and surface StackQL documentation from core docs, provider sites, and the registry.
stackqlnotebook-cell
Insert StackQL query cells into existing Jupyter notebooks.
stackqlexplore
Navigate StackQL provider hierarchies to discover services, resources, and fields.
stackqlsetup-ci
Generate GitHub Actions CI/CD workflows for stackql-deploy stacks.
stackqlnotebook
Generate a StackQL Jupyter notebook with pystackql query cells.
stackqlquery
Translate natural language questions into StackQL queries and execute them against cloud providers.
Frequently Asked Questions About StackQL Studios
FAQPage SchemaWhat specific tasks can be performed using StackQL?▼
StackQL enables users to query, provision, and manage cloud resources using standard SQL syntax. It allows for the discovery of provider hierarchies, execution of complex resource queries, and the generation of deployment scaffolds for infrastructure management across various cloud platforms.
Which personas benefit most from these capabilities?▼
Cloud engineers, DevOps practitioners, and infrastructure architects benefit most from these capabilities. The platform is designed for technical users who need to perform deep resource discovery, audit cloud configurations, or manage infrastructure deployments through a unified, relational interface rather than proprietary vendor consoles.
What are the prerequisites for running StackQL?▼
To run StackQL, you must have the binary installed on macOS, Linux, or Windows. Users require valid cloud provider credentials configured in their environment to execute queries against live resources, and for notebook integration, a standard Jupyter environment with the necessary query cell extensions is required.