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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" } } }