neo-wright-review

Score Chinese long-form articles on seven dimensions and remove AI-generated patterns.

2|Updated Mar 23, 2026
One-click install
npx skills add https://github.com/neo-unicorn/neo-skills --skill neo-wright-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: neo-wright-review
Source: https://github.com/neo-unicorn/neo-skills/tree/main/neo-wright-review
Command: npx skills add https://github.com/neo-unicorn/neo-skills --skill neo-wright-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It evaluates Chinese long‑form articles, scores them on seven dimensions, removes AI‑generated patterns, and iteratively revises until each dimension reaches a high standard, helping creators produce authentic, high‑impact content.

Core Features & Use Cases

  • 7‑dimension scoring: assesses attractiveness, resonance, information density, storytelling, CTA strength, AI‑detox, and funnel fit.
  • Automatic AI‑detox: detects and rewrites template sentences, transition words, preachy tone, and “dad‑tone”.
  • Funnel suitability check: validates TOFU/MOFU/BOFU alignment.
  • Iterative revision: up to three automatic rewrite cycles until all scores ≥9.
  • Use case example: A content writer provides a draft article, receives a detailed score report and a polished version ready for publication.

Quick Start

Ask the skill to review an article by saying: “请用 Neo‑Wright‑Review 评审以下内容并去除 AI 痕迹”,然后粘贴文章内容。

Frequently Asked Questions about neo-wright-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I remove AI-generated patterns from Chinese articles?

AI-detox for Chinese articles detects and rewrites template sentences, transition words, preachy tone, and dad-tone to remove AI-generated patterns. It automatically cleans your content and iteratively revises up to three cycles until quality scores reach nine or higher.

How do I score Chinese long-form content on quality dimensions?

Scoring Chinese long-form content involves evaluating seven dimensions: attractiveness, resonance, information density, storytelling, CTA strength, AI-detox, and funnel fit. You provide the article text and receive a detailed score report identifying strengths and weaknesses across all dimensions.

How can I check if my article aligns with TOFU, MOFU, and BOFU funnel stages?

Funnel suitability checking validates TOFU, MOFU, and BOFU alignment by scoring how well your Chinese article fits each stage of the content funnel. It assesses funnel fit as one of seven quality dimensions and revises content to ensure proper alignment for viral impact.

What is the best way to automatically revise Chinese drafts for publication?

The best way to automatically revise Chinese drafts is through iterative rewriting cycles that score content on seven dimensions and auto-revise up to three times. You paste the article text, receive a detailed score report, and get a polished version meeting nine-plus points on every dimension.

Do I need any special tools or setup to review Chinese articles with seven-dimension scoring?

No special tools or setup are required for seven-dimension scoring of Chinese articles. The review process requires only the article text as input and returns a detailed score report plus revised content without any dependencies or external components.