{"skill":{"slug":"pyomnits","displayName":"PyOmniTS Usage Guide For Time Series Analysis","summary":"Provides guidance on using PyOmniTS for time series analysis, including docs, key concepts, code patterns, pitfalls, and replicating models, datasets, and lo...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":114,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1774005849591,"updatedAt":1774037526653},"latestVersion":{"version":"1.0.0","createdAt":1774005849591,"changelog":"Initial release of PyOmniTS skill for time series analysis.\n\n- Provides quick links to official PyOmniTS documentation and code repositories.\n- Explains key concepts, naming conventions, and code structure for models, datasets, and loss functions.\n- Outlines replication workflow for adapting new models, datasets, or loss functions into PyOmniTS.\n- Lists common pitfalls, best practices, and references to useful example scripts.","license":"MIT-0"},"metadata":null,"owner":{"handle":"ladbaby","userId":"publishers:ladbaby","displayName":"Ladbaby","image":"https://avatars.githubusercontent.com/u/82816258?v=4"},"moderation":{"isSuspicious":true,"isMalwareBlocked":false,"verdict":"suspicious","reasonCodes":["suspicious.vt_suspicious"],"summary":"Detected: suspicious.vt_suspicious","engineVersion":"v2.2.0","updatedAt":1774029422600}}