Preface

The common approach to organizing error logs involves manual transcription or using generic OCR tools to recognize photos one by one followed by manual formatting. The former is time-consuming, while the latter often results in fragmented text where formulas and question images are easily lost, lacking a unified Word output.

The Skill “Error Log Practice Manual” (错题修炼手册) introduced below addresses this specific step: converting photos of exam papers or homework into structured content and directly producing readable, editable, and printable Word documents.

What is this

“Error Log Practice Manual” is a community-sourced general-purpose Skill located at @user_ad63a28c/cuotiben. It is maintained by the publisher user_ad63a28c, with the current version 1.0.7, categorized under education.

It solves the problem of error extraction: after a user uploads photos of exam papers or homework, the Skill recognizes the question stems, options, formulas, and necessary diagrams from each image, then aggregates them into a Word document for subsequent review and printing.

Additionally, the Skill provides a supporting platform at https://mvp-lab.cn/cuotiben, covering workflows such as importing error logs, weakness analysis, paper assembly for printing, and closed-loop grading.

Core Functions

According to official page information, the capabilities are concentrated in three areas.

First is multi-image merging and targeted organization by question number. Users can upload multiple photos of exam papers or homework at once and specify question numbers, allowing the Skill to automatically organize the errors for those specific questions.

Second is automatic filtering based on grading evidence. If there are grading marks or annotations on the photos, the Skill can use these to determine which questions are incorrect, eliminating the need for users to specify question numbers individually.

Third is structured recognition and Word output. The Skill recognizes question stems, options, formulas, and necessary diagrams image by image, ultimately generating a readable, editable, and printable Word document rather than scattered text fragments.

Installation and Activation

This Skill is based on the universal SKILL.md format and is marked as requires_api_key=false, meaning no additional API Key configuration is required.

Current scraped materials do not provide specific installation commands or directory paths, so they are not listed here. It is recommended to access the official address and follow the page instructions to enable it:

https://www.skillhub.cn/skills/user_ad63a28c/cuotiben

Activation methods may vary across different hosts (Cursor, Codex CLI, Claude Code); since the materials do not provide corresponding instructions, no speculation is made here.

Typical Usage

The reproducible scenarios provided in the official introduction are as follows.

Upload multiple photos of exam papers or homework, then specify question numbers—for example, simply saying “Organize questions 3, 7, and 12”—and the Skill will recognize these questions and output a Word document.

Another usage is to upload photos with grading marks directly without specifying question numbers, letting the Skill automatically filter errors based on grading evidence. This is suitable for processing a full exam paper in one batch.

In both cases, the final result is the same product: a readable, editable, and printable Word document.

Suitable Scenarios and Notes

Suitable scenarios: Students and teachers making error logs, especially for questions containing formulas, options, and diagrams; scenarios requiring the merging of multiple exam papers into a single review material; and scenarios requiring printing for paper-based review.

Points to note: Recognition quality depends on photo clarity. The restoration quality of non-text content such as diagrams and formulas needs to be verified during actual use. Filtering by grading evidence relies on the presence of usable grading marks on the photos; if the original image lacks marks, this function cannot be utilized.

Conclusion

“Error Log Practice Manual” converges error organization from manual transcription and scattered OCR results into a repeatable pipeline: upload photos, specify question numbers or filter by grading marks, and output a Word document. For scenarios requiring frequent error organization, this saves significant time on formatting and transcription.

Official Address: https://api.skillhub.cn/user_ad63a28c/cuotiben