{"skill":{"slug":"cda-data-synth","displayName":"CDA Data Synth","summary":"CDA 因果数据合成器——根据领域描述自动生成 CDA 架构可消费的因果数据集。 生成 Entity-State Graph（JSON 格式）、CausalEdge 列表、带时间戳的观测轨迹、哈密顿量约束参数。 覆盖热力学、力学、流体、多域耦合等物理域，支持生成训练数据、验证数据、基准测试数据。 当用户需要为 C...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":44,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1777233550600,"updatedAt":1777234307240},"latestVersion":{"version":"1.0.0","createdAt":1777233550600,"changelog":"Initial release of CDA Data Synthesizer:\n\n- Generates synthetic causal datasets for CDA architecture from domain descriptions.\n- Outputs standardized JSON files: Entity-State Graph, trajectory snapshots, Hamiltonian parameters, and metadata.\n- Supports multiple physical domains: thermodynamics, mechanics, fluid dynamics, and multi-domain coupling.\n- Ensures physical consistency, true causality, verifiability, and scalability in generated data.\n- Provides a clear workflow and protocol references for data generation and formatting.","license":"MIT-0"},"metadata":{"os":null,"systems":null},"owner":{"handle":"wangjiaocheng","userId":"s175zq13kt63ypfry5rgxh1pv18440m2","displayName":"波动几何","image":"https://avatars.githubusercontent.com/u/25478397?v=4"},"moderation":null}