Generate production-ready Python and AI stacks by combining frameworks, data engines, tooling, and cloud deployment.
Skill Claude CodeCodex
Design and generate a compatible project from the Python Template component layers or presets. Use when choosing a workload, framework, AI providers, data engines, interfaces, training and serving tools, deployment target, or IaC option; also use when a user wants a simple library, CLI, or API without AI.
Skill Claude CodeCodex
Extend or repair the Python Template repository while keeping its catalog, Copier questions, templates, generated references, and tests synchronized. Use for adding a framework, provider, database, interface, ML tool, deployment target, preset, compatibility rule, or generated-project capability.
Skill Claude CodeCodex
Validate the Python Template repository or a project generated from it. Use before committing, publishing, deploying, or reviewing a stack to check catalog compilation, rendering, dependencies, formatting, tests, security workflows, skills, and representative runtime behavior.
Skill Claude CodeCodex
Develop, test, and maintain this generated Python project using its recorded Copier choices and uv toolchain. Use for any code, dependency, configuration, documentation, or test change in this project, including simple libraries, CLIs, APIs, and layered AI or ML applications.
Skill Claude CodeCodex
Develop, test, and troubleshoot this generated AI or ML workload across its framework, model and embedding providers, retrieval stores, interfaces, training, serving, and observability layers. Use when changing prompts, tools, agents, RAG, MCP, inference, fine-tuning, evaluations, or provider integration.
Skill Claude CodeCodex
Validate and deploy this generated Python project using its selected target, portable Docker base, and optional Pulumi or Terraform configuration. Use for deployment preparation, local container checks, cloud previews, release rollout, health verification, or deployment troubleshooting.