calibrate

Score past claims against actual outcomes to evaluate decision accuracy.

Updated Jul 10, 2026

Search Tags:#project planning #risk management #decision-making #historical analysis #accuracy assessment

Ready to run

npx skills add https://github.com/ronniepinnell/casper --skill calibrate-ronniepinnell

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: calibrate
Source: https://github.com/ronniepinnell/casper/tree/main/skills/calibrate
Command: npx skills add https://github.com/ronniepinnell/casper --skill calibrate-ronniepinnell

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill assesses the accuracy of past decisions, helping to refine confidence levels and prevent future mistakes.

Core Features & Use Cases

Accuracy Evaluation: Reviews and rates past claims for correctness, providing insights into confidence levels.
Decision History Analysis: Examines past decisions to understand how well they predicted outcomes.
Use Case: Use this Skill after a project milestone to review the accuracy of risk assessments and estimates, allowing for better planning and resource allocation in the future.

Quick Start

Run /calibrate last milestone to score the accuracy of the past decisions made in the last milestone.

Frequently Asked Questions about calibrate

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I assess the accuracy of historical project decisions?▼

Assess the accuracy of historical project decisions by scoring past claims against actual outcomes using project logs, providing feedback to refine confidence levels for future risk management.

What is decision calibration in project planning?▼

Decision calibration in project planning is the process of reviewing and rating past risk assessments and estimates against actual results to understand how well they predicted outcomes.

How do I review past risk assessments after a project milestone?▼

Review past risk assessments after a project milestone by running a calibration analysis on your historical data, which scores past claims to reveal insights into your decision accuracy.

Do I need project logs to analyze past decision accuracy?▼

Yes, you need access to project logs and historical data to analyze past decision accuracy, as this historical information is required to score claims against actual outcomes.

Why does analyzing past claims improve future decision-making?▼

Analyzing past claims improves future decision-making by identifying patterns in prediction accuracy, allowing for better resource allocation and more informed planning in subsequent project phases.

What's the best way to score past claims for correctness?▼

The best way to score past claims for correctness is to systematically compare documented historical estimates against actual milestone outcomes, generating an accuracy evaluation that refines confidence levels.