famou-artifact-generator

This skill converts vague concepts into structured problem.md files through a two-phase clarification workflow. It refines raw ideas into strict problem definitions ready for implementation.

Creating init.py, evaluator.py, and prompt.md artifacts follows a two-phase workflow: first generating problem.md, then producing the three implementation artifacts. These are validated via the evaluator workflow.

FaMou task generation is automated by inputting your idea to trigger a two-phase workflow, outputting problem.md, init.py, evaluator.py, and prompt.md. This satisfies strict frontmatter extraction and validation requirements.

Yes, this supports prototyping custom evolution tasks by generating ready-to-implement materials. It is useful for teams creating custom FaMou tasks or individuals prototyping new evolution workflows.

You do not need to manually validate the generated evaluator.py file. The skill automatically validates all generated inputs via the evaluator workflow to ensure strict validation requirements for artifact generation are met.

FaMou artifact generation requires strict frontmatter extraction to satisfy validation requirements within the evolution workflow. This ensures the generated problem.md and input artifacts meet the structural standards needed for automated evaluation.