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.
Bundles Anthropic's three-stage eval agents (grader, comparator, analyzer) with enforced architecture selection upfront—choosing from 5 patterns (Sequential, Iterative, Context-Aware, Domain Intelligence, Multi-MCP) before writing code. Runs TDD baselines in parallel to detect whether the task already works without a skill, then applies 5-axis scoring (Discovery/Clarity/Efficiency/Robustness/Completeness) with numerical thresholds for production readiness, plus automated description optimization with train/test splits.
Stars
40
Forks
7
Language
Python
License
MIT
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
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