forecasting
SolidSuperforecasting with calibrated reasoning, Brier score tracking, and prediction ledger management
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Quality Score: 84/100
Skill Content
Details
- Author
- WingedGuardian
- Repository
- WingedGuardian/GENesis-AGI
- Created
- 6 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
superforecasting
Use when asked "how likely is X", "will Y happen by date Z", "what's the probability", "should I bet/decide", or any consequential-decision question. Runs Tetlock's superforecaster pipeline: triage, Fermi-ize, outside view (base rates), inside view, weigh clashing forces, quantify a fine-grained probability, verify every claim with tools/web, then log and Brier-score it for calibration. Portable across Claude, Codex, Aider, or any agent that reads Markdown and runs python3.
forecasting-workflow
Produces an end-to-end, research-informed probability forecast with a resolvable question, base rate, evidence updates, dependency checks, counterevidence, and a scoring plan. Applies to substantive future-event forecasting requests; uses narrower technique skills only when available and does not certify superforecaster status.
forecast-with-calibration
Produce calibrated probabilistic forecasts with base rates and ranges.