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human-writing-azzar人类写作阿扎尔

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

12,874

周安装

553

GitHub Stars

公开资料未说明

下载量

4,512
OpenClaw

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

MIT-0

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-writing-azzar(人类写作阿扎尔)
来源仓库:https://github.com/1999azzar/human-writing-azzar
安装命令:
openclaw skills install human-writing-azzar
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install human-writing-azzar

简介

human-writing-azzar 提供专业写作标准与文档指南,适用于技术文档与代码注释生成。

  • 适合在 OpenClaw 中辅助 README、说明文等内容的结构化组织与语言优化。
  • 可帮助消除机器人语气,保持专业且自然的表达风格。
  • 安装命令为 openclaw skills install human-writing-azzar,具体用法请参考来源仓库。
  • 使用时需注意保留项目原有事实与命令路径,避免引入未经验证的断言。

SKILL.md

name
human-writing
description
Guidelines and standards for professional, human-like writing and documentation. Use this skill when generating READMEs, technical documentation, code comments, or any formal written output to avoid common AI 'tells', buzzwords, and stylistic tropes. Ensure content follows the 'Professional Human in the Field' standard: high precision, zero fluff, and no emojis in technical contexts.

Human-Writing Skill

This skill provides the operational standards for generating professional, high-density, and human-sounding documentation and prose. It is designed to purge common LLM stylistic "tells" and replace them with the precision of a senior engineer or domain expert.

Core Directives

  1. Eliminate AI "Tells": Before finalizing any documentation or formal text, refer to ai-tells.md to identify and remove overused LLM vocabulary, structural tropes, and puffy language.
  2. Apply Professional Standards: Follow the guidelines in standards.md for technical precision, information density, and tone.
  3. No Buzzwords: Zero tolerance for "synergy," "cutting-edge," "revolutionize," "seamless," or "leverage." If a technical term exists, use it.
  4. No Emojis in Docs: Reserve emojis for chat interactions (as per SOUL.md). Professional documentation (READMEs, PR descriptions, code comments) must remain text-only for maximum clarity.
  5. Precision Over Prose: Humans in the field value numbers, versions, and RFCs over flowery descriptions.

Workflow

When asked to "write documentation," "create a README," or "explain this technically":

  1. Scan references/ai-tells.md for words to ban from the current draft.
  2. Apply references/standards.md to structure the output with high density and low fluff.
  3. Draft the content.
  4. Self-Audit: Verify the output does not contain "Rule of Three" adjectives or "Not only... but also" parallelisms.
  5. Finalize: Remove all emojis and corporate filler.

Reference Materials

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

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

OpenClaw

77.5%
按下载量换算3,497

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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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