{"name":"travis-gilbert-theseus-pro-theseus-pro","owner":{"name":"ClaudePluginHub"},"plugins":[{"name":"travis-gilbert-theseus-pro-theseus-pro","source":{"source":"github","repo":"travis-gilbert/claude-marketplace"},"description":"Intelligence engineering plugin for building systems that learn from their own operation. Successor to SciPy-Pro v4. Provides 7 workflow commands (/reason, /graph, /train, /architect, /simulate, /measure, /learn), 24 domain-expert agents across three tiers, and compound-learning + enrichment-pipeline guidance for EpiGNN, KGE RotatE, SBERT, GL-Fusion, model-swarm routing, and network effects.","version":"1.1.0","strict":true,"keywords":["intelligence-engineering","theseus","index-api","epistemic-engine","knowledge-graph","learned-scoring","graph-neural-networks","temporal-graph-memory","multi-agent-reasoning","counterfactual-simulation","reinforcement-learning","evolutionary-optimization","symbolic-reasoning","self-organization","nlp","nli","sbert","faiss","bm25","pykeen","django","two-mode-deployment","iq-tracker"],"category":"productivity"}]}