Architecture-first skill lifecycle for AI agents. 5 modes: CREATE → EVAL → EDIT → REVIEW → PACKAGE. Integrates Anthropic's eval engine (grader/comparator/analyzer agents, blind A/B, benchmarks) with architecture patterns, TDD baseline, and 5-axis scoring. Not just testing - full design-to-distribution.
What is the smixs/skill-conductor GitHub project? Description: "Architecture-first skill lifecycle for AI agents. 5 modes: CREATE → EVAL → EDIT → REVIEW → PACKAGE. Integrates Anthropic's eval engine (grader/comparator/analyzer agents, blind A/B, benchmarks) with architecture patterns, TDD baseline, and 5-axis scoring. Not just testing - full design-to-distribution.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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