skills/claude-scientific-skills
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feat(timesfm): complete all three examples with quality docs

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- 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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scientific-skills/timesfm-forecasting/examples/global-temperature/generate_animation_data.py
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@@ -24,7 +24,7 @@ MAX_HORIZON = (
)
TOTAL_MONTHS = 48 # Total months from 2022-01 to 2025-12 (graph extent)
INPUT_FILE = Path(__file__).parent / "temperature_anomaly.csv"
OUTPUT_FILE = Path(__file__).parent / "animation_data.json"
OUTPUT_FILE = Path(__file__).parent / "output" / "animation_data.json"
def main() -> None: