Extract quiz questions from images and answer them using course materials.
npx skills add https://github.com/koreats/AutoLecture.new --skill exam-solver-skill
Please help me install this Agent Skill. Skill: Exam Solver Skill Source: https://github.com/koreats/AutoLecture.new/tree/main/skills/exam-solver Command: npx skills add https://github.com/koreats/AutoLecture.new --skill exam-solver-skill
Solve quiz and exam questions from images by applying local OCR and grounding answers in course materials.
Provide an image or directory of questions and run the exam solver to generate answers with evidence.
High-intent search queries and answers about installing and using this skill.
To solve exam questions from an image, this skill uses local OCR to extract text from screenshots and generates evidence-grounded answers from course materials. You simply provide an image or a directory of questions to start the process.
Yes, you can process a batch of quiz screenshots at once. The skill supports both single-image and batch-image inputs, allowing you to point it to an entire directory of questions for automated extraction and answering.
When course materials provide insufficient evidence, the skill applies strict handling by tagging the answer as lacking evidence. It uses confidence tagging to clearly indicate whether answers are certain, uncertain, or lack supporting evidence.
No, you do not need an external OCR API because the skill relies on a local OCR pipeline. This allows you to extract text directly from exam screenshots and problem sets on your own machine without sending data externally.
The best way to prepare for exams using image-based problem sets is to use a local OCR pipeline that grounds answers in course materials. This skill extracts questions from images and returns answers with confidence tags for effective assessment preparation.
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