learn-english skill for agents

A prompt-engineered framework for vocabulary memorization, sentence analysis, and collaborative corpus building.

Abstract

This project presents a prompt-engineered framework for agent-assisted English learning. The design objective is to improve vocabulary retention efficiency through rapid mnemonic generation, sentence-level interpretation, and bilingual explanation pipelines. The current implementation is a prompt protocol and has not yet been packaged as a formal agent skill.

Demonstrations

  • Demo: Click Here
  • Try More Advanced Prompts: Click Here

Community Contribution Protocol

If you have a GPT-4 Plus account, you are invited to contribute by uploading your vocabulary-list outputs to repository issues. This collaborative mechanism allows learners without GPT-4 Plus access to benefit from curated results.

System Modules

Module Function
Sentence Analyze (2024-04-06) Structured analysis of sentence grammar and semantics
Chinese Version Chinese instructional prompt set
English Version English instructional prompt set
Result-EnglishVersion Output archive for English-mode responses
Result-ChineseVersion Output archive for Chinese-mode responses
Partial Result Demonstration subset for quick inspection

The demonstration output is designed for direct migration into spaced-repetition tools (e.g., Anki), where mnemonic variants can be reviewed as cards.

Prerequisites and Usage Boundary

  • Minimum learner level: A1 English proficiency.
  • Recommended model tier: GPT-4 Plus for best mnemonic relevance and linguistic accuracy.
  • If GPT-4 Plus is unavailable, use precompiled outputs stored in /GRE, /TOEFL, and related folders.
  • Avoid running GPT-4-specific prompts on lower-capability models when accuracy is critical.

Quick Start

I. What Is Mr.G?

Mr.G is a prompt series for English learning with three major functions:

  • Automatic generation and switching of mnemonic strategies for hard vocabulary (targeting one-minute memorization cycles).
  • Analysis of difficult vocabulary, sentences, and paragraphs.
  • Repository-based restoration of mnemonic corpora for GRE, TOEFL, IELTS, and Duolingo-style preparation.

II. Operational Procedure

  1. Open the /prompts directory and select the prompt file aligned with your task.
  2. Input target vocabulary, phrasal verbs, sentences, or short paragraphs.
  3. Run the corresponding model variant:
    • Use prompts labeled for GPT-3.5 when operating on GPT-3.5.
    • Use GPT3.5-API versions when token conservation is required.
    • Use GPT-4 Plus prompts for full feature access.
  4. Export outputs to Anki, Notion, or Obsidian for long-term review and traceability.

III. Extended Function

  • G-GPT4.md: grouped-vocabulary processing workflow (updated).
  • Anki
  • Notion
  • Obsidian

These tools support structured storage, iterative review, and contribution back to the shared corpus.