aiwg
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Cognitive architecture for AI-augmented software development with structured memory, ensemble validation, and closed-loop correction. FAIR-aligned artifacts, 84% cost reduction via human-in-the-loop, standards adopted by 100+ organizations.
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{
"name": "skill-factory",
"version": "1.0.0",
"description": "Skill generation, enhancement, packaging, and quality validation",
"category": "development",
"author": "AIWG",
"license": "MIT",
"skills": [
"skill-builder",
"skill-enhancer",
"skill-packager",
"quality-checker"
],
"agents": [
"skill-architect"
],
"dependencies": {
"optional": {
"skill-seekers": ">=2.0.0",
"anthropic": ">=0.20.0"
}
},
"platforms": ["claude-code", "factory-ai", "openai-codex"],
"researchCompliance": {
"REF-001": ["BP-1", "BP-3", "BP-4", "BP-5", "BP-9"],
"REF-002": ["archetype-1", "archetype-2", "archetype-3", "archetype-4"]
},
"attribution": {
"skill-seekers": {
"name": "Skill Seekers",
"url": "https://github.com/yusufkaraaslan/Skill_Seekers",
"license": "MIT",
"usage": "Quality checking patterns and skill structure conventions"
}
}
}