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Forecast With Calibration

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Produce an updateable probability or distribution for a resolvable future event using base rates, explicit assumptions, and a declared resolution source. Use when the user asks for a forecast, probability, confidence, or calibration. Do not use to estimate a past causal effect, register an experiment, or critique a present explanation.

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  • Added September 30, 2026
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Scanned September 30, 2026

npx -y skills add SylphxAI/skills --skill forecast-with-calibration --agent claude-code

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SKILL.md
---
name: forecast-with-calibration
description: "Produce an updateable probability or distribution for a resolvable future event using base rates, explicit assumptions, and a declared resolution source. Use when the user asks for a forecast, probability, confidence, or calibration. Do not use to estimate a past causal effect, register an experiment, or critique a present explanation."
---

# Forecast With Calibration

A forecast that cannot resolve is a vibe. Write the event, deadline, resolution source, and ambiguity rule before the number. Start from a relevant base rate; the inside view updates that rate, it does not erase it.

One hit or miss is not calibration. Score a comparable set with a proper scoring rule declared before the outcome. Extreme confidence needs extreme evidence; multiplying dependent sub-events manufactures false precision.

Open [probabilistic forecasting methods](references/probabilistic-forecasting-methods.md) for elicitation, aggregation, scoring, and update cadence.

Use `analyze-causal-inference` for whether a past change caused an outcome. Use `design-product-experiment` when assignment can answer the question. Use `analyze-critically` for confidence in a present explanation.

Files in this skill

  • SKILL.md1.2 KB
  • references/probabilistic-forecasting-methods.md1.6 KB

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