Clayton Young
a83dbf3f16
Replace AGENTS.md / claude-skill/ with a proper agentskills.io-compliant
skill directory. Any AI agent that supports the open Agent Skills standard
(Claude Code, OpenCode, Cursor, Codex, etc.) can now install and use this
skill generically.
Changes:
- Remove AGENTS.md (was Claude-specific convention)
- Remove claude-skill/ directory (was Claude-specific naming)
- Add timesfm-forecasting/SKILL.md with compliant frontmatter:
name: timesfm-forecasting
description: ...
license: Apache-2.0
metadata: author, version
- Rename claude-skill/examples/ → timesfm-forecasting/examples/
- Rename claude-skill/scripts/ → timesfm-forecasting/scripts/
- Rename claude-skill/references/ → timesfm-forecasting/references/
- Update .gitattributes paths to match new directory
Skill installs via:
cp -r timesfm-forecasting/ ~/.claude/skills/
cp -r timesfm-forecasting/ ~/.cursor/skills/
# or any agent that supports agentskills.io
Spec: https://agentskills.io/specification
54 lines
1.5 KiB
Bash
Executable File
54 lines
1.5 KiB
Bash
Executable File
#!/bin/bash
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# run_example.sh - Run the TimesFM temperature anomaly forecasting example
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#
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# This script:
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# 1. Runs the preflight system check
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# 2. Runs the TimesFM forecast
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# 3. Generates the visualization
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#
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# Usage:
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# ./run_example.sh
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#
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# Prerequisites:
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# - Python 3.10+
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# - timesfm[torch] installed: uv pip install "timesfm[torch]"
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# - matplotlib, pandas, numpy
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set -e
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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SKILL_ROOT="$(dirname "$(dirname "$SCRIPT_DIR")")"
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echo "============================================================"
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echo " TimesFM Example: Global Temperature Anomaly Forecast"
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echo "============================================================"
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# Step 1: Preflight check
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echo ""
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echo "🔍 Step 1: Running preflight system check..."
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python3 "$SKILL_ROOT/scripts/check_system.py" || {
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echo "❌ Preflight check failed. Please fix the issues above before continuing."
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exit 1
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}
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# Step 2: Run forecast
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echo ""
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echo "📊 Step 2: Running TimesFM forecast..."
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cd "$SCRIPT_DIR"
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python3 run_forecast.py
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# Step 3: Generate visualization
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echo ""
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echo "📈 Step 3: Generating visualization..."
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python3 visualize_forecast.py
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echo ""
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echo "============================================================"
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echo " ✅ Example complete!"
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echo "============================================================"
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echo ""
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echo "Output files:"
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echo " - $SCRIPT_DIR/output/forecast_output.csv"
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echo " - $SCRIPT_DIR/output/forecast_output.json"
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echo " - $SCRIPT_DIR/output/forecast_visualization.png"
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