{"id":70600,"plugin_id":"plugin_asdk_app_6ae058ee6cec81919329ae43b76a4c86","kind":"skill","collection_source":"plugin_package","comparison_source":null,"observed_at":"2026-10-29T12:07:54.953Z","digest":"ba7242ce8035a1424dae971e67e97c7098de6209953609ad351fa26499ba7eb6","against":null,"payload":{"description":"Perform time-series diagnostics, structural-break analysis, forecasting, regime analysis, and forecast validation using MUSITU Axiom.","included_files":[{"relative_path":"agents/openai.yaml","size_in_bytes":271},{"relative_path":"references/COMMERCIAL.md","size_in_bytes":751},{"relative_path":"references/PROOF.md","size_in_bytes":537},{"relative_path":"references/QUALITY.md","size_in_bytes":2262},{"relative_path":"references/ROUTING.md","size_in_bytes":504},{"relative_path":"scripts/proof_envelope.py","size_in_bytes":1023},{"relative_path":"scripts/scenario_grid.py","size_in_bytes":691}],"name":"musitu-time-series-forecasting","skill_md_contents":"---\nname: musitu-time-series-forecasting\ndescription: \"Perform time-series diagnostics, structural-break analysis, forecasting, regime analysis, and forecast validation using MUSITU Axiom.\"\n---\n# MUSITU Time-Series & Forecasting\nRead `references/QUALITY.md`.\n\n## Workflow\n1. Validate chronology, frequency, missingness and duplicates.\n2. Diagnose trend, seasonality, breaks and regimes.\n3. Select an appropriate exposed MUSITU operation.\n4. Use holdout or rolling validation when feasible.\n5. Compare plausible specifications.\n6. Produce uncertainty-aware forecasts or scenarios.\n7. Stress extrapolation and structural-break assumptions.\n8. Return horizon-specific reliability and invalidation conditions.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}