Predict

Prediction system. See patterns, forecast outcomes, manage uncertainty.

Critical Privacy & Safety

Data Storage (CRITICAL)

• All prediction data stored locally only: memory/predict/
• No external prediction APIs with data sharing
• Scenario analyses remain private
• Risk assessments confidential
• User controls all data retention and deletion

Important Note

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.

Data Structure

Prediction data stored locally: - memory/predict/models.json - Prediction models and frameworks - memory/predict/scenarios.json - Scenario analyses - memory/predict/forecasts.json - Forecast records - memory/predict/accuracy.json - Prediction accuracy tracking

Core Workflows

Forecast Trend

User: "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

Generate Scenarios

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

Assess Risk

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

Evaluate Probability

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

Module Reference

• Trend Analysis: See references/trends.md
• Forecasting Methods: See references/forecasting.md
• Scenario Planning: See references/scenarios.md
• Risk Assessment: See references/risk.md
• Probability Evaluation: See references/probability.md

Scripts Reference