feat(example): add working TimesFM forecast example with global temperature data

- Add NOAA GISTEMP global temperature anomaly dataset (36 months, 2022-2024)
- Run TimesFM 1.0 PyTorch forecast for 2025 (12-month horizon)
- Generate fan chart visualization with 80%/90% confidence intervals
- Create comprehensive markdown report with findings and API notes

API Discovery:
- TimesFM 2.5 PyTorch checkpoint has file format issue (model.safetensors
  vs expected torch_model.ckpt)
- Working API uses TimesFmHparams + TimesFmCheckpoint + TimesFm() constructor
- Documented API in GitHub README differs from actual pip package

Includes:
- temperature_anomaly.csv (input data)
- forecast_output.csv (point forecast + quantiles)
- forecast_output.json (machine-readable output)
- forecast_visualization.png (LFS-tracked)
- run_forecast.py (reusable script)
- visualize_forecast.py (chart generation)
- run_example.sh (one-click runner)
- README.md (full report with findings)

scientific-skills/timesfm-forecasting/examples/global-temperature/run_example.sh

@@ -0,0 +1,53 @@
+#!/bin/bash
+# run_example.sh - Run the TimesFM temperature anomaly forecasting example
+#
+# This script:
+# 1. Runs the preflight system check
+# 2. Runs the TimesFM forecast
+# 3. Generates the visualization
+#
+# Usage:
+#   ./run_example.sh
+#
+# Prerequisites:
+#   - Python 3.10+
+#   - timesfm[torch] installed: uv pip install "timesfm[torch]"
+#   - matplotlib, pandas, numpy
+
+set -e
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+SKILL_ROOT="$(dirname "$(dirname "$SCRIPT_DIR")")"
+
+echo "============================================================"
+echo "  TimesFM Example: Global Temperature Anomaly Forecast"
+echo "============================================================"
+
+# Step 1: Preflight check
+echo ""
+echo "🔍 Step 1: Running preflight system check..."
+python3 "$SKILL_ROOT/scripts/check_system.py" || {
+    echo "❌ Preflight check failed. Please fix the issues above before continuing."
+    exit 1
+}
+
+# Step 2: Run forecast
+echo ""
+echo "📊 Step 2: Running TimesFM forecast..."
+cd "$SCRIPT_DIR"
+python3 run_forecast.py
+
+# Step 3: Generate visualization
+echo ""
+echo "📈 Step 3: Generating visualization..."
+python3 visualize_forecast.py
+
+echo ""
+echo "============================================================"
+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"