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gaozhong-english-answer-parser

gaozhong-english-answer-parser

github.com/wmy2981Documents155 installsUpdated 5w ago
Repository

About gaozhong-english-answer-parser

gaozhong-english-answer-parser is a skill for extracting answers from high school English exam files and arranging them in a fixed question-number structure. It handles PDF or image content and returns Markdown answers without explanations.

Key features

  1. 01Read content from PDFs or images
  2. 02Extract multiple-choice and fill-in answers
  3. 03Arrange answers by fixed question ranges
  4. 04Format output as Markdown tables and entries
  5. 05Match section labels to the request language

Use cases

  1. 01Organize high school English answer keys
  2. 02Process scanned answer pages
  3. 03Map mixed answer ranges to required groups
  4. 04Create answer sheets without explanations

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/wmy2981/skills --skill gaozhong-english-answer-parser

After installing, type/gaozhong-english-answer-parserin Claude Code to confirm it loaded.

Bundled files.claude-plugin/plugin.json

Details

From the project README

Structured Answer Extraction for Gaozhong English Exam Papers

Execution Rule

Start processing the user's request directly without pre-checking whether the format is supported or asking for confirmation. If the file can't be read or parsed as expected, adapt and fix then — not before.

Fixed Question Number Distribution

This skill strictly follows the question numbering scheme below. Do not assume, adjust, or infer question ranges from the source text.

SectionQuestion RangeGrouping
Listening1-201-5, 6-10, 11-15, 16-20
Reading A21-23One per question
Reading B24-27One per question
Reading C28-31One per question
Reading D32-35One per question
Seven-of-Five (Gap Fill)36-40One per question
Cloze41-5541-45, 46-50, 51-55
Grammar Fill-in56-65One per question

Processing Flow

Step 1: Read the file content

PDF files:

  1. First try pdfplumber to extract text
  2. If the text lacks answer information (scanned document), convert pages with pdftoppm and use visual recognition (view_image)

Image files:

  1. Use view_image to inspect directly
  2. If incomplete, supplement with OCR
Step 2: Extract raw answers

Locate the answer key area in the text by searching for keywords (参考答案, 答案, Answer Key, etc.). Extract only the answers:

  • Multiple choice: letters only (A-G)
  • Fill-in-the-blank: the word/phrase to be filled in
  • Completely ignore explanatory text, regardless of how closely it is mixed with the answers
Step 3: Output in fixed structure

Output as Markdown — no code blocks, no file generation. Reply directly in the chat.

Output Template

Answer Key

Listening
1-56-1011-1516-20
BCBACBCCAABACABCACBB
Reading Comprehension

Passage A 21.B 22.A 23.C

Passage B 24.C 25.B 26.D 27.A

Passage C 28.C 29.B 30.A 31.C

Passage D 32.D 33.A 34.B 35.C

Seven-of-Five (Gap Fill) 36.F 37.D 38.A 39.E 40.G

Language Use

Cloze

41-4546-5051-55
BACDBAACDCBCABD

Grammar Fill-in

No.Answer
56to
57a
58playful
59combining
60introduction
61which
62surprisingly
63to reflect
64has created
65hidden

Output Rules

  1. Strictly follow the fixed question number distribution. Do not adjust question ranges or groupings based on the source text. If the source groups 21-35 in continuous blocks of 5 (e.g., 21-25 DDBBB), remap to the fixed groups: Passage A 21-23, Passage B 24-27, Passage C 28-31, Passage D 32-35.
  2. Listening: 4 groups of 5 questions each, presented as a table row with 5 consecutive letters per cell.
  3. Reading Comprehension: Passage A (3 questions), Passage B (4), Passage C (4), Passage D (4) — grouped by passage, each question on its own line.
  4. Seven-of-Five: 5 questions, one per line.
  5. Cloze: 3 groups of 5 questions each, presented as a table row.
  6. Grammar Fill-in: 10 questions in a vertical table — first column question number, second column answer.
  7. Output answers only, no explanations.
  8. Output as Markdown, no code blocks, no file generation.
  9. Continuation writing / composition sections are not included in the answer structure.
  10. Match the user's language. The output language (section headers, explanatory labels like "Passage A", "Cloze", etc.) MUST match the language of the user's question. If the user asks in Chinese, output headers in Chinese; if in English, output headers in English. The answer content (letters, words) itself remains unchanged.

Comments

Markdown supported