exam-forecast

Name: exam-forecast
Availability: InStock
Author: polliticalsolutions

Analyze past exams to forecast study weighting and write dated notes.

Updated Dec 4, 2025

Search Tags:#pattern analysis #issue spotting #study planning #law exams #syllabus weighting #past exam review

Ready to run

npx skills add https://github.com/PolliticalSolutions/political-portal --skill exam-forecast-polliticalsolutions

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: exam-forecast
Source: https://github.com/PolliticalSolutions/political-portal/tree/main/.claude/skills/law-student/exam-forecast
Command: npx skills add https://github.com/PolliticalSolutions/political-portal --skill exam-forecast-polliticalsolutions

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps law students reduce uncertainty by turning a set of past exams into a practical study weighting for an upcoming exam, focusing review time on the professor’s recurring priorities and traps.

Core Features & Use Cases

Past-exam pattern analysis: Identifies repeating structure, subject coverage, fact-pattern density, and policy vs. doctrine emphasis across multiple exams.
Evidence-aware forecasting: Produces a forecast framed as a weighting heuristic (not a prediction) with explicit sample-size caveats when the dataset is small.
Semester-aligned study planning: Combines historical patterns with the current syllabus to recommend heavy/moderate/sanity-check study emphasis and forecast question style.
Versioned output writing: Generates a saved forecast file in a deterministic location, dated for traceability.

Quick Start

Ask: Analyze past exams for my class and produce an exam forecast using the weighting heuristic, then write the output to the configured forecast folder.

Frequently Asked Questions about exam-forecast

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

FAQPage Schema

How do I analyze past law exams to predict what topics will appear on the next test?▼

Past law exam analysis predicts upcoming test topics by extracting recurring patterns in question style, subject coverage, and traps from multiple previous exams, then generating a semester-aligned study weighting forecast document.

What is exam pattern analysis and how does it help with study planning?▼

Exam pattern analysis identifies repeating structures, fact-pattern density, and policy versus doctrine emphasis across multiple past exams, helping create a study weighting forecast that directs review time toward a professor's recurring priorities.

Can I use past exams in PDF format to forecast law exam emphases?▼

Yes, you can forecast law exam emphases by providing past exams as PDFs, pasted text, or file paths from the same professor and class to analyze historical patterns and generate a study-weighting heuristic.

How do I create a study weighting forecast from a small set of past exams?▼

Creating a study weighting forecast from a small set of past exams produces evidence-aware results framed as a heuristic with explicit sample-size caveats, ensuring the forecast remains transparent about data limitations while guiding study emphasis.

What's the best way to review past exams for recurring traps and question styles?▼

The best way to review past exams for recurring traps and question styles is cross-analyzing multiple exams to identify repeating structures and subject coverage, then writing a dated forecast notes document with heavy, moderate, or sanity-check study emphasis.

Are there limitations to using past exam patterns for forecasting future test questions?▼

Yes, past exam pattern forecasting is limited by sample size and explicitly frames results as a weighting heuristic rather than a strict prediction, applying uncertainty caveats when the dataset of available historical exams is small.