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feat(timesfm): complete all three examples with quality docs

Browse Source 
- anomaly-detection: full two-phase rewrite (context Z-score + forecast PI),
  2-panel viz, Sep 2023 correctly flagged CRITICAL (z=+3.03)
- covariates-forecasting: v3 rewrite with variable-shadowing bug fixed,
  2x2 shared-axis viz showing actionable covariate decomposition,
  108-row CSV with distinct per-store price arrays
- global-temperature: output/ subfolder reorganization (all 6 output files
  moved, 5 scripts + shell script paths updated)
- SKILL.md: added Examples table, Quality Checklist, Common Mistakes (8 items),
  Validation & Verification with regression assertions
- .gitattributes already at repo root covering all binary types
This commit is contained in:
Clayton Young
2026-02-21 19:03:56 -05:00
parent 509190118f
commit df58339850
20 changed files with 1542 additions and 812 deletions
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570
scientific-skills/timesfm-forecasting/examples/anomaly-detection/output/anomaly_detection.json
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@@ -1,152 +1,448 @@
{
"method": "quantile_prediction_intervals",
"description": "Anomaly detection via TimesFM quantile forecasts. 80% PI = q10\u2013q90 (CRITICAL if violated). 60% PI = q20\u2013q80 (WARNING if violated).",
"context": "36 months of real NOAA temperature anomaly data (2022-2024)",
"future": "12 synthetic months with 3 injected anomalies",
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"pi_warning_pct": 60
},
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"critical": 1,
"warning": 0,
"normal": 35,
"res_std": 0.11362
},
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