UNPKG

aiwg

Version:

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.

38 lines (37 loc) 961 B
{ "name": "doc-intelligence", "version": "1.0.0", "description": "Documentation intelligence addon for scraping, extraction, and analysis", "category": "documentation", "author": "AIWG", "license": "MIT", "skills": [ "doc-scraper", "pdf-extractor", "llms-txt-support", "source-unifier", "doc-splitter" ], "agents": [ "doc-analyst" ], "dependencies": { "optional": { "skill-seekers": ">=2.0.0", "python": ">=3.10" } }, "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": "Documentation-to-skill conversion patterns and integration" } } }