Rigorous LLM research in two layers: a multi-agent dialectic synthesis prompt + an agent-loadable research skill. Hierarchy of evidence, verbatim citation gates, no fabrication.
Open, MIT context format for AI coding agents: centralized .aigx/ rules + a per-file boundary index that targets the right rules, forbidden imports, and gotchas to each file. The only context format validated in a controlled benchmark. Tool-agnostic; nothing injected into your source.
Framework de gobernanza técnica para el desarrollo asistido por agentes (AI). Implementa Clean Architecture y Protocolos de Inferencia Dirigida para escalar software con rigor arquitectónico.
The Ultimate AI Agent Scaffolding, Standardized Ruleset Orchestrator & UI/UX Engine. Initialize context-rich workspaces with 71+ premium reference designs, offline UI/UX Pro Max skill, dynamic PROJECT_MAP, and bilingual (VI/EN) support.