AI Agent Hub
Back to skills
Graduate Entrance Exam English Reading Review icon

Graduate Entrance Exam English Reading Review

Education Updated 2026.08.29

Paste the following prompt into your AI chat to install this skill:

Please follow https://skillhub.cn/install/skillhub.md to install @user_6e0e9505/kaoyan-english-reading-review.

About this skill

Problem It Solves

After solving postgraduate-entrance English reading passages, learners often repeat the same mistakes, cannot explain the root cause, mix question-type strategies, or lose points on economics and finance texts. This skill treats “finishing one passage” as a repeatable review loop with diagnosable error codes.

How It Works

The skill organizes expert methods into inspectable Markdown sections:
- Question types: covers detail, main idea, example, attitude, vocabulary, and reasoning, with locator-priority rules, signal words, and distractor patterns.
- Option analysis: contrasts synonymous paraphrase against concept swapping, over-inference, and other traps to force word-by-word comparison with the source text.
- Review workflow: supports per-passage analysis, staged review, and error coding such as V for vocabulary, L for locating, and O for over-inference.
- Economics/finance module: adds high-frequency topics, terminology, structure templates, and item patterns for data-heavy, causality-heavy passages.

Boundaries

It is best for post-practice review, periodic summaries, and pre-exam consolidation. It does not replace original-text analysis or individual tutoring, and its methods should still be applied against the passage rather than treated as ready-made answers.

Use Cases

  • Code mistakes by locating, logic, inference per passage.
  • Review 5-10 passages by type, topic, time, error pattern.
  • Check economics items using terms, structure, item rules.
  • Redo pre-exam items and verify answers via option features.

Best For

  • Graduate exam prep: sort reading errors by type and cause.
  • Passage drill student: check swaps and over-inference.
  • Weak economics reader: verify terms, causality, attribution.
  • Pre-exam candidate: recheck methods, logic rules, options.