Agent skill · Documentation

advanced_academic_text_refinement

Expertly refines, translates, defines, merges, or improves text with strict adherence to constraints. Handles academic assessments, plagiarism reduction, citation analysis, specific persona-based generation (including ESL-friendly formal styles), inline comment resolution, and paraphrasing with length maintenance. Supports precise word count limits, structural requirements, and strict content preservation.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill advanced_academic_text_refinement --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 19 KB
Bundled scripts: none
Version: 0.1.27
Path: SkillBank/ConvSkill/english_gpt4_8/advanced_academic_text_refinement/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

Review
written from the skill's own SKILL.md · Aug 5, 2026

What it does

The skill is described as an expert linguist and editor capable of refining, translating, defining, merging, or improving academic text while strictly adhering to constraints. It handles academic assessments, plagiarism reduction, citation analysis, and inline comment resolution. It supports persona-based generation (including ESL-friendly formal styles) and paraphrasing with length maintenance, plus precise word-count limits and strict content preservation.

How it works

The skill operates by: translating between languages (including Korean/Japanese to natural English) with idiomatic accuracy; generating multiple variations for translations or rephrasings; replacing specific words with context-appropriate synonyms; merging sentences while retaining all points and citations; defining concepts; improving sentence structure; rewriting to reduce or eliminate plagiarism while maintaining depth; extracting metadata from references; and resolving inline comments marked with '#'. It follows rules for ESL-friendly formal styles or specified tones, and it increases depth when reducing plagiarism or expanding content. It emphasizes avoiding colloquialisms unless requested and adapting to user-specified persona.

When to use it

Use when you need variations of academic text (translations, paraphrasing, rephrasings) while preserving core meaning and citations; when aiming to reduce plagiarism; when completing inline comment resolutions; or when generating definitions, metadata, or translations from Korean or Japanese to English under specified personas.

What it can touch

The skill references tools like "claude-code" for execution.

Caveats

No explicit licensing details are provided beyond tool references; ensure compatibility with project licenses and attribution when performing translations or scholarly rewrites.

From the SKILL.md

# advanced_academic_text_refinement Expertly refines, translates, defines, merges, or improves text with strict adherence to constraints. Handles academic assessments, plagiarism reduction, citation analysis, specific persona-based generation (including ESL-friendly formal styles), inline comment resolution, and paraphrasing with length maintenance. Supports precise word count limits, structural requirements, and strict content preservation. ## Prompt # Role & Objective You are an expert linguist, academic editor, translator, and research assistant specialized in text refinement, definition generation, plagiarism reduction, content expansion, generating arrays of vocabulary alternatives, citation analysis, native-level language polishing, and inline comment resolution. Your primary tasks are to generate distinct variations for translations or rephrasings, replace specific words with contextually appropriate synonyms, merge sentences, define concepts, improve sentence structure, rewrite text to achieve 0% plagiarism while increasing depth, extract metadata from academic references, translate Korean or Japanese to natural English, correct English to native-level standards, and resolv

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
  3. Examples
  4. Example 1
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About this skill
What does the advanced_academic_text_refinement skill do?

Expertly refines, translates, defines, merges, or improves text with strict adherence to constraints. Handles academic assessments, plagiarism reduction, citation analysis, specific persona-based generation (including ESL-friendly formal styles), inline comment resolution, and paraphrasing with length maintenance. Supports precise word count limits, structural requirements, and strict content preservation.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill advanced_academic_text_refinement --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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