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.
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.
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.
Use when bootstrapping a new Python repo, project, CLI, package, script, or uv project from py-launch-blueprint. Ask whether the user wants the opinionated template bootstrap or a minimal setup before running commands.
Standalone personal code-quality, architecture, documentation, graphical-interface, and project-management guide for TypeScript and Python repositories. Use when writing or reviewing code or docs, designing architecture or UI, refactoring, or aligning tests; apply repository policy first, then shared design philosophy…