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human-articles人类文章

Agent Skill

human-articles 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

218

周安装

9

GitHub Stars

2

下载量

71
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-articles(人类文章)
来源仓库:https://github.com/montagao/skills
仓库路径:skills/human-articles
安装命令:
npx skills add https://github.com/montagao/skills --skill human-articles
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/montagao/skills --skill human-articles

简介

human-articles 用于查找、检索和筛选相关信息,支持基于关键词快速定位结果。

  • 适用于文章搜集和信息筛选场景。
  • 通过 npx skills add 命令从 GitHub 仓库安装,需确认权限范围。
  • 使用前建议核实是否会触发联网或文件读写操作。
  • 可结合原始 README 继续核验具体功能和使用限制。

SKILL.md

This skill guides creation of technical articles and long-form content that read authentically human. The output should feel like something written by a person explaining their experience to a friend, not content generated to fill space.

The user provides a topic, outline, notes, or raw information to turn into an article. They may specify audience, length, or publication context.

Writing Philosophy

Before writing, understand what makes AI writing detectable:

  • Vocabulary tells: Overuse of words like "delve," "crucial," "landscape," "harness," "foster"
  • Structural tells: Uniform paragraph lengths, excessive parallelism, formulaic transitions
  • Tone tells: Hedging everything, lacking specific opinions, puffing importance of mundane details
  • Format tells: Overuse of em dashes, bullet points for everything OR prose for everything

The goal is not to "hide" AI authorship but to produce genuinely good writing that happens to avoid these patterns.

Structural Rules

Use bullet points for:

  • Lists of items, features, options, or signals
  • Step-by-step changes or processes
  • Before/after comparisons
  • Key takeaways and lessons
  • Technical specifications

Use prose for:

  • Opening hooks and context-setting
  • Narrative transitions between sections
  • Emotional beats and personal reactions
  • Closing thoughts and conclusions

Mix both within sections:

  • Start with 1-2 sentences of prose context
  • Break into bullets for details
  • Return to prose for reflection or transition

Vocabulary Blacklist

NEVER use these words/phrases:

  • delve, dive into, explore (as metaphors)
  • crucial, pivotal, significant, notable, remarkably
  • landscape, realm, paradigm, tapestry
  • harness, leverage, utilize, facilitate
  • foster, enable, empower
  • "It's worth noting that..."
  • "In today's world..." / "In the age of..."
  • "When it comes to..."
  • "At the end of the day..."
  • "This is where X comes in..."
  • "Let's unpack..."

Also avoid:

  • Parallel negation overuse ("It's not X, it's Y" more than once per article)
  • Em dashes for emphasis (limit to 1-2 per article total)
  • Starting multiple sentences with "This" in sequence

Sentence Construction

Do:

  • Vary sentence length aggressively (3 words to 30 words)
  • Use fragments for emphasis ("No bot detector needed." / "Brutal.")
  • Start sentences with "But," "And," "So" naturally
  • Use contractions throughout (don't, isn't, can't, won't, I'd)
  • Use "→" in bullets for cause/effect

Don't:

  • Make every sentence roughly the same length
  • Start consecutive sentences the same way
  • Write paragraphs that are all the same size
  • Hedge every claim with "may," "might," "could potentially"

Formatting Guidelines

Headers:

  • Conversational, not formal ("What my bot was doing wrong" not "Problem Analysis")
  • Questions work well as headers
  • Keep them short (3-8 words)

Code blocks:

  • Include real snippets when relevant
  • Keep short (3-8 lines ideal)
  • Add 1 sentence of context before explaining what it shows

Tables:

  • Use for before/after comparisons with clear columns
  • Use for data that genuinely needs tabular format
  • Keep simple (3-4 columns max)

Bold:

  • Bold key terms at start of bullet list items
  • Bold numbered list headers ("1. Opening lines now vary")
  • Don't bold for emphasis in prose—word choice should do that work

Tone Guidelines

Be direct:

  • "This was killing me" not "This presented a significant challenge"
  • "The patterns were obvious" not "Upon analysis, patterns emerged"
  • State opinions without excessive hedging

Be specific:

  • Include actual numbers (40%, 60-70%, 20+ templates)
  • Include actual examples with real before/after text
  • Name real things (tools, frameworks, specific features)

Be honest about uncertainty:

  • "I don't have rigorous A/B test data"
  • "I changed everything at once (not great experimental design)"
  • Don't overclaim results

Show personality:

  • Include reactions ("This surprised me," "Here's what clicked")
  • Acknowledge tradeoffs and downsides
  • Use humor sparingly but genuinely

Article Structure Template

# [Direct, intriguing title - states the thing, not "How to..." or "The Ultimate Guide"]

[1-2 paragraph hook: the problem + what you did about it]

[One line transition: "Here's what I found" or similar]

## [Discovery/insight section with conversational header]

[1-2 sentences context]

Key points:
- Bullet with details
- More details
- The insight that matters

[Brief prose reflection if needed]

## [Implementation/specifics section]

[Brief prose transition]

**1. First change**

Before: [concrete example]
After: [concrete example]

// if relevant


**2. Second change**

[Continue pattern...]

## Results

[Brief caveat about methodology if honest]

- Specific result 1
- Specific result 2
- What changed observably

## Lessons / Takeaways

- **Bold the principle.** Brief explanation follows.
- **Another principle.** Explanation.
- **Third principle.** Explanation.

## [Closing section - broader insight, not summary]

[2-3 paragraphs of prose with genuine reflection]

[Can include bullets if making multiple points]

[Final punchy line that lands the core idea]

---

## TL;DR

**Category 1:**

- Point
- Point

**Category 2:**

- Point
- Point

**Core insight:**

- The one thing to remember

Pre-Submission Checklist

Before delivering the article, verify:

  • [ ] No vocabulary from the blacklist
  • [ ] Mix of prose and bullets (not all one or the other)
  • [ ] At least one specific number or percentage
  • [ ] At least one concrete before/after example
  • [ ] Sentence lengths visibly vary
  • [ ] Headers are conversational
  • [ ] Contractions used naturally throughout
  • [ ] No more than 1-2 em dashes total
  • [ ] Opening hook is about the problem/situation, not the topic abstractly
  • [ ] Closing is a specific insight, not generic advice or summary
  • [ ] Would a human actually write this sentence? (ask for each sentence that feels off)

CRITICAL: The test is not "does this avoid AI tells" but "does this read like something a specific person actually wrote." Every article should feel like it has a point of view, makes real claims, and was written by someone who cares about the topic.

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

32.32%
按下载量换算23

Claude

33.06%
按下载量换算23

Cursor

18.27%
按下载量换算13

Gemini CLI

9.43%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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