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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2
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:

4
scientific-skills/timesfm-forecasting/examples/global-temperature/generate_gif.py
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@@ -18,8 +18,8 @@ from PIL import Image
# Configuration
EXAMPLE_DIR = Path(__file__).parent
DATA_FILE = EXAMPLE_DIR / "animation_data.json"
OUTPUT_FILE = EXAMPLE_DIR / "forecast_animation.gif"
DATA_FILE = EXAMPLE_DIR / "output" / "animation_data.json"
OUTPUT_FILE = EXAMPLE_DIR / "output" / "forecast_animation.gif"
DURATION_MS = 500 # Time per frame in milliseconds

4
scientific-skills/timesfm-forecasting/examples/global-temperature/generate_html.py
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@@ -12,8 +12,8 @@ import json
from pathlib import Path
EXAMPLE_DIR = Path(__file__).parent
DATA_FILE = EXAMPLE_DIR / "animation_data.json"
OUTPUT_FILE = EXAMPLE_DIR / "interactive_forecast.html"
DATA_FILE = EXAMPLE_DIR / "output" / "animation_data.json"
OUTPUT_FILE = EXAMPLE_DIR / "output" / "interactive_forecast.html"
HTML_TEMPLATE = """<!DOCTYPE html>

0
scientific-skills/timesfm-forecasting/examples/global-temperature/animation_data.json → scientific-skills/timesfm-forecasting/examples/global-temperature/output/animation_data.json
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0
scientific-skills/timesfm-forecasting/examples/global-temperature/forecast_animation.gif → scientific-skills/timesfm-forecasting/examples/global-temperature/output/forecast_animation.gif
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scientific-skills/timesfm-forecasting/examples/global-temperature/forecast_output.csv → scientific-skills/timesfm-forecasting/examples/global-temperature/output/forecast_output.csv
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scientific-skills/timesfm-forecasting/examples/global-temperature/forecast_output.json → scientific-skills/timesfm-forecasting/examples/global-temperature/output/forecast_output.json
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scientific-skills/timesfm-forecasting/examples/global-temperature/forecast_visualization.png → scientific-skills/timesfm-forecasting/examples/global-temperature/output/forecast_visualization.png
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scientific-skills/timesfm-forecasting/examples/global-temperature/interactive_forecast.html → scientific-skills/timesfm-forecasting/examples/global-temperature/output/interactive_forecast.html
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6
scientific-skills/timesfm-forecasting/examples/global-temperature/run_example.sh
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@@ -48,6 +48,6 @@ echo " ✅ Example complete!"
echo "============================================================"
echo ""
echo "Output files:"
echo " - $SCRIPT_DIR/forecast_output.csv"
echo " - $SCRIPT_DIR/forecast_output.json"
echo " - $SCRIPT_DIR/forecast_visualization.png"
echo " - $SCRIPT_DIR/output/forecast_output.csv"
echo " - $SCRIPT_DIR/output/forecast_output.json"
echo " - $SCRIPT_DIR/output/forecast_visualization.png"

3
scientific-skills/timesfm-forecasting/examples/global-temperature/run_forecast.py
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@@ -94,7 +94,8 @@ output_df = pd.DataFrame(
)
# Save outputs
output_dir = Path(__file__).parent
output_dir = Path(__file__).parent / "output"
output_dir.mkdir(exist_ok=True)
output_df.to_csv(output_dir / "forecast_output.csv", index=False)
# JSON output for the report

4
scientific-skills/timesfm-forecasting/examples/global-temperature/visualize_forecast.py
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@@ -23,8 +23,8 @@ import pandas as pd
# Configuration
EXAMPLE_DIR = Path(__file__).parent
INPUT_FILE = EXAMPLE_DIR / "temperature_anomaly.csv"
FORECAST_FILE = EXAMPLE_DIR / "forecast_output.json"
OUTPUT_FILE = EXAMPLE_DIR / "forecast_visualization.png"
FORECAST_FILE = EXAMPLE_DIR / "output" / "forecast_output.json"
OUTPUT_FILE = EXAMPLE_DIR / "output" / "forecast_visualization.png"
def main() -> None: