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natural-writing自然书写

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

总安装

1,568

周安装

66

GitHub Stars

5

下载量

549
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:natural-writing(自然书写)
来源仓库:https://github.com/third774/dotfiles
仓库路径:skills/natural-writing
安装命令:
npx skills add https://github.com/third774/dotfiles --skill natural-writing
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/third774/dotfiles --skill natural-writing

简介

用于辅助文档、README、Markdown 和内容稿件的整理与改写,提升可读性。

  • 适合提炼结构、补齐章节、统一术语或检查链接,保留项目已有事实与路径。
  • 使用时应避免将未确认信息写成确定结论,尤其涉及对外文案时需控制语气。
  • 不建议过度营销或夸大能力,保持克制与准确的信息表达。
  • natural-writing 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Natural Writing

LLMs produce statistically average text. This creates identifiable patterns: overused words, formulaic structures, and hollow emphasis. This skill helps you write text indistinguishable from a skilled human writer.

Core Principle

Specific beats generic. Facts beat significance claims. Direct beats hedged.

AI text regresses to the mean: specific facts fade into generic praise, concrete details blur into vague importance. Fight this by being concrete and direct.

Vocabulary Red Flags

These words appear far more frequently in AI text than human text. One or two is fine; clustering several is a tell.

High-Alert Words

Avoid or use sparingly: delve, tapestry, vibrant, landscape (metaphorical), nuanced, multifaceted, pivotal, crucial, foster, underscore, highlight, showcase, leverage, navigate, realm, intricate, comprehensive, robust, seamless, cutting-edge, game-changing, groundbreaking

Filler Transitions

Cut or replace: Additionally, Furthermore, Moreover, It's worth noting, It's important to remember, Interestingly

Hollow Emphasis

Never use: testament to, speaks volumes, indelible mark, rich tapestry, stands as a reminder, plays a vital/crucial/pivotal role, underscores the importance

For complete word lists organized by part of speech, see references/phrases-to-avoid.md.

Structural Anti-Patterns

1. Negative Parallelisms

AI loves "not only X but also Y" and "it's not just X, it's Y" constructions.

BAD:  "It's not just a tool, it's a paradigm shift."
BAD:  "Not only does it improve performance, but it also enhances readability."
GOOD: "It improves performance and readability."
GOOD: "The tool changed how we approach the problem."

2. Rule of Three Abuse

AI defaults to triple-adjective and triple-phrase patterns.

BAD:  "A powerful, flexible, and intuitive solution."
BAD:  "It enables collaboration, innovation, and growth."
GOOD: "A flexible solution." (pick the most accurate one)
GOOD: "It enables better collaboration."

3. Superficial "-ing" Analysis

AI attaches vague significance via participle phrases.

BAD:  "The API returns JSON, enabling seamless integration."
BAD:  "She won the award, cementing her legacy in the field."
GOOD: "The API returns JSON."
GOOD: "She won the award."

If the significance is real and non-obvious, state it directly as its own sentence with specifics.

4. Challenges and Future Outlook

AI loves concluding with "Despite challenges..." or "Looking ahead..." sections.

BAD:  "Despite these challenges, the project continues to evolve."
BAD:  "The future holds exciting possibilities for..."
GOOD: (Just end. Or state specific next steps if relevant.)

5. False Ranges

AI uses "from X to Y" where X and Y aren't endpoints of a real scale.

BAD:  "From authentication to deployment, the platform handles everything."
BAD:  "From technical skills to soft skills, she excels in all areas."
GOOD: "The platform handles authentication, testing, and deployment."
GOOD: "She has strong technical and communication skills."

6. Elegant Variation Gone Wrong

AI avoids repeating words by swapping in synonyms that create confusion.

BAD:  "The function processes data. The method then validates the information.
       This procedure ensures the content is correct."
       (function/method/procedure and data/information/content mean the same thing)
GOOD: "The function processes data, validates it, and returns the result."

Repeat words when they refer to the same thing. Clarity beats variety.

Hollow Emphasis Patterns

AI compensates for lack of specific information by asserting importance.

Legacy/Significance Claims

BAD:  "This represents a pivotal moment in the evolution of..."
BAD:  "The findings underscore the enduring significance of..."
BAD:  "Her work continues to shape the landscape of..."
GOOD: State what actually happened. Let readers judge significance.

Vague Attribution

BAD:  "Experts argue that..."
BAD:  "It has been widely recognized that..."
BAD:  "Industry observers note..."
GOOD: Name the source or cut the claim.

Promotional Puffery

BAD:  "A stunning achievement that captivates audiences."
BAD:  "Nestled in the heart of the valley..."
BAD:  "Boasts an impressive array of features."
GOOD: Describe what it actually is/does.

Style Defaults

Punctuation

  • Avoid em dashes. Use commas, parentheses, or separate sentences.
  • Use straight quotes and apostrophes, not curly.
  • One exclamation point per document maximum, if any.

Sentence Structure

  • Vary sentence length naturally.
  • Start sentences with different words.
  • Front-load important information.

Tone

  • Direct, not hedged.
  • Confident, not defensive.
  • Specific, not sweeping.

Quick Self-Check

Before finalizing text, scan for:

  1. Word clusters: Multiple red-flag words in one paragraph?
  2. Triple patterns: Adjective triplets or phrase triplets?
  3. Significance assertions: Claiming importance without specifics?
  4. Filler transitions: Starting paragraphs with "Additionally" or "Furthermore"?
  5. Em dash density: More than one per few paragraphs?

If you spot these patterns, revise. Cut the filler. Add specifics or remove the claim.

One "crucial" is fine. "Crucial", "pivotal", "testament", and "landscape" in the same paragraph is a tell.

适合场景

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用户想查找某类 Agent Skill 时

02

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03

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04

需要参考平台分布和安装热度时

能力概览

能力 1

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能力 2

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能力 3

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenCode

29.14%
按下载量换算160

Antigravity

23.09%
按下载量换算127

Claude Code

17.81%
按下载量换算98

Gemini CLI

12.85%
按下载量换算71

Codex

8.52%
按下载量换算47

windsurf

3.74%
按下载量换算21

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权限和风险

需要联网

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安装前确认

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来源信息

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