High School Learning Assistant

Problem It Solves

High school mistake review often ends up fragmented across tests, homework sheets, notebooks, and photo archives. A photo dump is easy to create but weak at turning errors into reviewable data. This skill targets a more concrete workflow: extract questions and answers from test or homework images, classify mistakes by subject and knowledge point, and turn them into a searchable practice and review pipeline.

How It Works

The workflow is organized around a closed loop:

• Image recognition: accepts common formats such as JPG, PNG, and PDF, then identifies question content, answer status, subject, and likely knowledge point.
• Mistake organization: groups errors by subject, knowledge point, question type, and user-defined tags, recording the original question, wrong answer, correct answer, error cause, and upload time.
• Weakness analysis: uses mistake frequency, error type, and topic mastery signals to produce real-time or periodic study reports.
• Practice generation: recommends similar questions tied to weak topics and high-frequency exam points, with difficulty adjusted by grade level, then grades completed exercises and writes new mistakes back to the notebook.
• Review reminders: schedules daily, weekly, or monthly review sessions, lets users mark mastery levels, and routes unresolved mistakes into the next review cycle.

It also includes auxiliary capabilities such as notebook export, learning statistics, knowledge point explanations, and fuzzy search-based Q&A. The source material states that data can be written to local skill files, for example references/learning_records.json, assets/wrong_questions/, and assets/reports/, with optional synchronization to ima or Tencent Docs.

Boundaries And Caveats

This skill fits long-term high school review, monthly exam analysis, mistake tracking, and topic-level remediation. It depends on image clarity, so handwritten, blurry, or heavily annotated pages may require manual confirmation or re-upload. OCR output can still contain errors, so important questions, answers, and explanations should be verified before using them for serious revision. For short-term drilling, it can work as a mistake organizer and practice generator; for automatic knowledge point judgment, error-cause analysis, or exam trend prediction, it should be treated as an assistive analysis tool rather than a final authority.