Analyze past law school exams and syllabi to forecast exam emphases.
npx skills add https://github.com/stakwork/stakgraph --skill exam-forecast-stakwork
Please help me install this Agent Skill. Skill: exam-forecast Source: https://github.com/stakwork/stakgraph/tree/main/mcp/skills/law-student/exam-forecast Command: npx skills add https://github.com/stakwork/stakgraph --skill exam-forecast-stakwork
This Skill helps law students turn past exams and current syllabus materials into a disciplined study forecast without mistaking historical patterns for guaranteed predictions.
Ask the exam-forecast skill to analyze the attached past exams for your class and produce a confidence-qualified study forecast using the current syllabus.
High-intent search queries and answers about installing and using this skill.
Law school exam forecasting analyzes prior exams and the current syllabus to predict subject weighting, recurring issue-spotting traps, fact-pattern density, and policy-versus-doctrine balance. It generates a dated study forecast with confidence-qualified heavy, moderate, and sanity-check study areas.
Yes, analyzing past exams from the same professor identifies recurring issue-spotting traps and stable question formats. The forecast separates stable professor preferences from variable patterns while preserving full-syllabus coverage for study prioritization.
Cross-exam forecasting evaluates subject weighting and question formats from prior exams alongside the current syllabus to produce a confidence-qualified study plan. It designates heavy, moderate, and sanity-check review areas while requiring full-syllabus coverage.
Limitations include thin sample caveats and uncertainty framing to prevent mistaking historical patterns for guaranteed predictions. The forecast explicitly separates stable professor preferences from variable patterns and accounts for differences in course or exam format.
Exam forecasting accounts for differences in course or exam format by separating stable professor preferences from variable patterns. It applies sample-size caveats and uncertainty framing to ensure the study forecast remains valid despite format changes.
alexchlouAnalyze past exams to forecast question styles and topic emphasis.
PolliticalSolutionsAnalyze past exams to forecast study weighting and write dated notes.
Bossmann007Analyzes past exams to predict likely focus areas for upcoming exams.
harvard-lilEvaluate law school exam answers with feedback on issue spotting and application.
