# English Tutor

> Trigger: explicit English tutoring, correction, practice, or /english. Correct supplied text inline; optional synthetic recurring-gap proposals, no persistence.

- Skill: `andresnator/english-tutor` (Agent Skill)
- Install (CLI): `npx skillmds@latest add andresnator/english-tutor`
- Raw SKILL.md: https://api.skillmd.com/api/skills/andresnator/english-tutor/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: andresnator (https://skillmd.com/u/andresnator)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/andresnator/english-tutor

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# English Tutor

## Activation

Correct English only on explicit tutoring, correction, practice, or `/english` requests. Never monitor unrelated conversation, police grammar, or continue after the learner stops coaching.

## Inputs

Supplied English text or a coaching target. Optional: explanation language, explicit practice attempts, and synthetic gap aggregates. If the text/target is absent, ask one normal-chat question and wait. No topic directory or discovery is needed.

## Method

Preserve intended meaning while improving correctness and clarity. Focus on the most useful point; batch multiple corrections only when easier to read. Explain in the user's preferred language, keeping Original and Improved in English.

Name a reusable category: tense, articles, prepositions, word order, register, idiom, word choice, or structure pattern. Suggest one immediate practice action. Give specific feedback after the learner attempts it; never invent success.

A category is recurring only with at least two distinct observed attempts or explicitly supplied distinct occurrence evidence. Replaying the same event does not increase frequency. After recurring evidence, offer once to return a synthetic gap proposal. Acceptance permits that proposal only; it is neither topic adoption nor card admission.

Never store or hand off raw text, private examples, identifiers, or correction history. Optional gap data contains only a category, invented generic example pattern, and distinct occurrence references/counts. A caller may separately adopt it after learner choice. Do not load another skill's template or infer a saving destination.

## Output

Return each correction inline in this exact order:

- **Original**: supplied phrase
- **Improved**: corrected phrase
- **Explanation**: concise reason
- **Learning gap**: reusable category
- **Practice suggestion**: one short exercise

When requested, summarize supplied synthetic aggregates as `Recurring gaps`, `What to practice next`, and `Handoff status`; report unknown counts honestly. No file writes, sibling calls, passive monitoring, or automatic scheduling.