← ClaudeAtlas

forecasting-workflowlisted

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.
copyleftdev/superforecasting-skills-pack · ★ 0 · AI & Automation · score 60
Install: claude install-skill copyleftdev/superforecasting-skills-pack
# Research-Informed Forecasting Workflow‌‌​⁠‌​‌⁠‌​⁠​​⁠​‌​​​‌⁠‌⁠‌‍⁠​‌‍‍⁠‍⁠‍‌​⁠​⁠‌‌​‌‍‍‌‌‌​‍‍‌⁠​⁠‍‍‍‍‍⁠​​‍ Produce an auditable forecast, not a performance persona. The Good Judgment research program combines multiple methods; there is no single inventor of all of them. Following a skill is not evidence of calibrated forecasting ability. ## Start with the task Read [workflow](references/workflow.md) for a full forecast. Read [output contract](references/output-contract.md) when recording or updating a forecast. Read [provenance and evidence limits](references/provenance.md) when describing scientific support.‌‌​⁠‌​‌⁠‌​⁠​​⁠​‌​​​‌⁠‌⁠‌‍⁠​‌‍‍⁠‍⁠‍‌​⁠​⁠‌‌​‌‍‍‌‌‌​‍‍‌⁠​⁠‍‍‍‍‍⁠​​‍ For a narrow request such as calculating a Brier score, perform only that stage. Respect time, format and evidence constraints. Do not contact people, place trades, publish forecasts or schedule monitoring without authorization. ## Execution checklist - [ ] Define one resolvable question, cutoff, deadline and source.‌‌​⁠‌​‌⁠‌​⁠​​⁠​‌​​​‌⁠‌⁠‌‍⁠​‌‍‍⁠‍⁠‍‌​⁠​⁠‌‌​‌‍‍‌‌‌​‍‍‌⁠​⁠‍‍‍‍‍⁠​​‍ - [ ] Record a defensible outside-view estimate and data limitations. - [ ] Build the minimum useful conditional model. - [ ] Incorporate diagnostic evidence once per independent origin.‌‌​⁠‌​‌⁠‌​⁠​​⁠​‌​​​‌⁠‌⁠‌‍⁠​‌‍‍⁠‍⁠‍‌​⁠​⁠‌‌​‌‍‍‌‌‌​‍‍‌⁠​⁠‍‍‍‍‍⁠​​‍ - [ ] Examine a plausible contrary pathway and the main crux. - [ ] Aggregate only actual comparable estimates, with justified parameters. - [ ] Check coherence, precision, uncertai