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@dluck/opencode-learn-english

v0.1.2

Published

Non-intrusive opencode plugin that helps Chinese-speaking developers improve English while coding

Readme

opencode English Learning Plugin

A non-intrusive opencode plugin that helps Chinese-speaking developers improve their English while coding. The plugin injects an English tutor instruction into the system prompt, so the main LLM appends a short tips block at the end of its own replies — no background analysis, no separate API calls, no toast queue.

How It Works

The plugin hooks into experimental.chat.system.transform and appends a structured "English Learning Tips" instruction to the system prompt. During real user turns (not title generation or compaction), the LLM is asked to:

  1. Input Correction — If the user wrote in English with grammar errors or unidiomatic phrasing, show a Prompt: section with the verbatim awkward phrase → a natural rewrite.
  2. Vocabulary / Phrase Tips — Surface 2–3 notable English expressions from the AI's own reply with plain-English definitions.

Both features are veto-powered: if there's nothing worth teaching, the LLM omits the block entirely. The tips block is always in English, regardless of the conversation language.

Install

Add the plugin to your opencode.json:

{
  "plugin": ["@dluck/opencode-learn-english"]
}

Or install locally for development:

{
  "plugin": ["file:///abs/path/to/opencode-learn-english-plugin"]
}

Note: The publishConfig.access is set to "public" so the scoped package can be installed without a paid npm account.

Configuration

Optional plugin-specific config under experimental.english_learn:

{
  "experimental": {
    "english_learn": {
      "enabled": true
    }
  }
}

| Key | Default | Description | |---|---|---| | enabled | true | Master switch for the entire plugin |

Design Principles

  • Non-intrusive: Never modifies conversation history, prompt parts, or LLM behavior beyond the system-prompt injection
  • Veto-powered: The LLM explicitly returns nothing when there's nothing worth teaching
  • Zero infrastructure: No background model calls, no separate credentials, no toast queue — the main LLM does all the work
  • Error-safe: All plugin errors route to OS notifications, never to opencode toasts; hook handlers catch all exceptions

Requirements

  • opencode with plugin support
  • Bun runtime

Development

bun install        # install dependencies
bun run build      # compile to dist/
bun test           # run tests