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exam-forecast Skill

AI Agent SkillPythonOpen source

Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams. Published by anthropics in claude-for-legal.

What is exam-forecast Skill?

Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams. Published by anthropics in claude-for-legal. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
98/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Writing
  • Data analysis use cases
  • Writing use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use exam-forecast Skill

  • Use it for data analysis.
  • Use it for writing.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: anthropics
  • Repository: anthropics/claude-for-legal
  • Skill file: law-student/skills/exam-forecast/SKILL.md

What it does

Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.

Skill instructions

/exam-forecast 1. Load ~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md → class, professor, exam format, syllabus. 2. Apply the workflow below. 3. Intake past exams (PDF, paste, or paths). Confirm sample size. 4. Analyze each past exam: format, subject coverage, question style, fact-pattern density, recurring traps. 5. Cross-exam pattern analysis — what's stable, what varies. 6. Combine with current syllabus to produce forecast: subject weights, format, hobby horses, study emphasis. 7. Write ~/.claude/plugins/config/claude-for-legal/law-student/exam-forecasts/[class]/forecast-[YYYY-MM-DD].md. Framed as weighting heuristic, not prediction. --- Purpose Every professor's exam has fingerprints. The same hypo structures recur. The same traps come back. The same subject ratios repeat. Students who have prior exams study smarter; students who don't, study harder. This skill analyzes the prior exams you have and surfaces the patterns. Not magic. A forecast, not a prediction. The

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Frequently asked questions

What is exam-forecast?

exam-forecast is a open-source AI agent skill with Copy skill directory. Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming.

Who is exam-forecast best for?

exam-forecast is best for reusing agent instructions, scripts, and references, data analysis workflows, writing workflows.

How do I install exam-forecast?

Install or run exam-forecast using Copy skill directory. Check exam-forecast for the latest setup command.

Is exam-forecast actively maintained?

exam-forecast may need a closer maintenance check before production use.

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Forks
1,654
Last commit
16 days ago
Repository age
3 months
License
Apache-2.0

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