smixs/skill-conductor
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.
This project helps AI agent builders develop reliable and effective custom skills. It guides you through designing, building, and thoroughly testing agent skills, taking your initial idea or problem and producing a robust, production-ready skill package. If you're creating specialized AI agents for specific tasks, this tool ensures their custom capabilities are well-defined and perform as expected.
Use this if you are building custom skills for AI agents and need a structured, robust way to ensure they perform reliably and predictably across various scenarios.
Not ideal if you are looking for a simple, quick way to prototype basic agent prompts without needing rigorous testing or a formal development lifecycle.
Stars
40
Forks
7
Language
Python
License
MIT
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
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