Install
openclaw skills install predictPrediction and forecasting system for trends, outcomes, and risks. Use when user mentions predictions, forecasts, trends, scenarios, or future outcomes. Anal...
openclaw skills install predictPrediction system. See patterns, forecast outcomes, manage uncertainty.
memory/predict/Predictions are inherently uncertain. This skill provides structured analysis but does not guarantee outcomes. Always maintain appropriate uncertainty and update predictions as new information emerges.
Prediction data stored locally:
memory/predict/models.json - Prediction models and frameworksmemory/predict/scenarios.json - Scenario analysesmemory/predict/forecasts.json - Forecast recordsmemory/predict/accuracy.json - Prediction accuracy trackingUser: "Forecast sales for next quarter based on current data"
→ Use scripts/forecast_trend.py --metric "sales" --period Q2 --data "historical.csv"
→ Build forecast with confidence intervals and key assumptions
User: "What are possible scenarios for this project?"
→ Use scripts/generate_scenarios.py --project "X" --factors "budget,timeline,resources"
→ Create best-case, worst-case, and most-likely scenarios
User: "Assess risks for this business decision"
→ Use scripts/assess_risk.py --decision "expansion" --factors "market,competition,capital"
→ Identify risks, evaluate probabilities, develop mitigation strategies
User: "What's the probability of success?"
→ Use scripts/evaluate_probability.py --outcome "success" --factors "team,market,timing"
→ Calculate probability with explicit reasoning and confidence levels
| Script | Purpose |
|---|---|
forecast_trend.py | Forecast future trends |
generate_scenarios.py | Generate future scenarios |
assess_risk.py | Assess decision risks |
evaluate_probability.py | Evaluate outcome probabilities |
track_accuracy.py | Track prediction accuracy |
build_model.py | Build prediction models |