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human-writer人类作家

Agent Skill

human-writer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

285

周安装

12

GitHub Stars

1

下载量

411
CodexClaudeCursorGemini CLI

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

2

许可证

unknown

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:human-writer(人类作家)
来源仓库:https://github.com/vassovass/scl-v3
仓库路径:skills/human-writer
安装命令:
npx skills add https://github.com/vassovass/scl-v3 --skill human-writer
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/vassovass/scl-v3 --skill human-writer

简介

human-writer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。

  • 它可辅助从文档中提取内容、匹配字段或过滤无关信息,提升信息获取效率。
  • 通过 npx skills add 命令从指定仓库安装,具体用法需结合 README 进一步确认。
  • 安装前建议检查权限范围和维护状态,避免触发不必要的联网或文件操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Human Writer

Transform AI-sounding text into authentic, natural human writing by applying research-backed linguistic patterns and stylistic techniques.

When to Use This Skill

Use this skill when:

  • Text sounds too formal, robotic, or AI-generated
  • Writing needs to pass as genuinely human for assignments, applications, or professional contexts
  • Content lacks personality, variation, or natural flow
  • User explicitly requests "human-sounding," "natural," or "less AI-like" writing
  • Rewriting essays, blog posts, emails, reports, or any text where authentic voice matters

Core Approach

Apply these transformations in sequence:

1. Sentence Variation (Burstiness)

Human writing naturally varies sentence length dramatically. AI defaults to medium-length sentences.

Apply:

  • Mix very short sentences (3-7 words) with longer complex ones (20-35 words)
  • Use occasional fragments for emphasis
  • Vary sentence starters - avoid repetitive patterns
  • Break up dense paragraphs with punchy statements

Example transformation:

  • AI: "The research demonstrates that machine learning algorithms can process vast amounts of data efficiently. This capability enables organizations to make better decisions. The technology continues to evolve rapidly."
  • Human: "Machine learning processes massive datasets fast. That's the core capability. Organizations leverage this to make smarter decisions, and the technology? It keeps evolving at breakneck speed."

2. Remove AI Tell-Tale Words and Phrases

AI models overuse specific words that humans rarely employ. See references/ai-tells.md for comprehensive list.

Common offenders to reduce/remove:

  • Overused: delve, tapestry, camaraderie, palpable, intricate, unease, robust, crucial, vital, realm, landscape (metaphorical)
  • Filler transitions: Moreover, Furthermore, Additionally, In addition, Thus, Hence, Therefore (use sparingly)
  • Overly formal: Utilize (use "use"), Commence (use "start"), Facilitate (use "help")

Replace with:

  • Natural connectors: And, But, So, Plus, Also, Besides
  • Casual transitions: Anyway, Basically, Essentially, Look
  • Concrete verbs: Make, do, fix, build, create, help

3. Add Contractions and Informal Language

AI defaults to formal constructions. Humans use contractions freely in most contexts except highly formal academic/legal writing.

Apply liberally:

  • Don't, can't, won't, it's, I'm, we're, they're, you're
  • Wanna, gonna (in very casual contexts only)
  • Colloquialisms appropriate to context

BUT avoid in:

  • Academic research papers
  • Legal documents
  • Formal business proposals
  • When user specifically requests formal tone

4. Vary Sentence Structure

AI overuses certain grammatical patterns. Humans naturally vary structure.

AI overuses:

  • Present participial clauses: "Walking down the street, seeing the crowd..." (use 50% less)
  • Nominalizations: "implementation" → "implementing," "utilization" → "using"
  • Agentless passive voice

Add more:

  • Simple active voice: "The team built it" not "It was built by the team"
  • Questions mid-paragraph: "But does that really work?"
  • Direct address: "You know what I mean?"

5. Inject Personal Voice and Imperfection

Humans think aloud, hesitate, correct themselves, and show personality.

Add strategically:

  • Hedge words: kind of, sort of, pretty much, a bit, somewhat (don't overdo)
  • Thinking markers: I think, I feel, seems like, looks like
  • Self-correction: "Well, actually..." "Or rather..." "I mean..."
  • Qualifiers: mostly, often, usually, typically
  • Minor redundancy: "completely finished," "end result"

Example:

  • AI: "The solution effectively addresses the problem."
  • Human: "This solution pretty much solves the problem, though there's probably room for improvement."

6. Use Natural Collocations and Idioms

AI sometimes creates unnatural word pairings. Humans use familiar phrases.

Check for natural pairings:

  • Make the bed (not do the bed)
  • Do the dishes (not make the dishes)
  • Strong coffee (not powerful coffee)
  • Heavy rain (not strong rain)

Add appropriate idioms:

  • "Hit the ground running"
  • "Cut to the chase"
  • "Get the ball rolling"
  • Context-appropriate only - don't force them

7. Create Contextual Depth

Humans draw from experience and add specific details. AI stays generic.

Add when appropriate:

  • Specific examples instead of generalizations
  • Real-world references (but avoid fabricating facts)
  • Analogies and comparisons
  • Personal observations or hedged experiences

Example:

  • AI: "Many people enjoy coffee in the morning."
  • Human: "Most people I know can't function without coffee before 9am. Myself included."

Progressive Application

For different output requirements:

Light humanization (professional contexts):

  • Apply sentence variation
  • Add occasional contractions
  • Remove most AI-tells
  • Keep sophisticated vocabulary

Medium humanization (blog posts, emails):

  • Full sentence variation including fragments
  • Generous contractions
  • Natural transitions
  • Some personal voice
  • Occasional idioms

Heavy humanization (casual writing, personal essays):

  • Maximum variation including very short sentences
  • Frequent contractions
  • Personal anecdotes and voice
  • Hedge words and thinking markers
  • Colloquialisms and idioms
  • Self-correction patterns

Important Considerations

Preserve:

  • Original meaning and key arguments
  • Factual accuracy
  • Technical terms when necessary
  • Core structure and organization

Context awareness:

  • Academic writing: lighter touch, keep sophistication, minimal contractions
  • Professional emails: medium touch, maintain clarity and professionalism
  • Blog posts/casual content: heavier touch, maximize personality
  • TEFL assignments: medium-heavy touch, show natural teacher voice

Quality checks:

  • Read aloud - does it sound like someone talking?
  • Check sentence length variation visually
  • Verify no more than 2-3 consecutive sentences start the same way
  • Ensure personality without sacrificing clarity

Reference Files

For detailed guidance:

  • references/ai-tells.md - Comprehensive list of AI overused words/phrases
  • references/linguistic-patterns.md - Research-based differences between AI and human writing
  • references/examples.md - Before/after transformation examples across contexts

Quick Self-Check

After transformation, verify:

  • Sentence lengths vary dramatically (some under 8 words, some over 20)
  • At least 3-5 contractions per 200 words (unless formal context)
  • No "delve," "tapestry," "robust" or similar AI-tells
  • At least one sentence fragment or very short sentence per paragraph
  • Natural transitions (And, But, So) outnumber formal ones
  • Reads naturally when spoken aloud
  • Includes at least one thinking marker or hedge word per 150 words

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

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

Codex

33.65%
按下载量换算138

Claude

32.83%
按下载量换算135

Cursor

18.74%
按下载量换算77

Gemini CLI

10%
按下载量换算41

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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