Agent skill

Chinese Writing

by miantiao-me in miantiao-me/aigc-weekly

专注科技周刊的中文写作与审稿技能指南,指导大模型生成与审核清晰、克制、无 AI 味的高质量周刊内容. An agent skill from miantiao-me/aigc-weekly.

AGPL-3.0Auto-check passed

Install Chinese Writing

skills CLI
$ npx skills add miantiao-me/aigc-weekly --skill chinese-writing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install miantiao-me/aigc-weekly chinese-writing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/miantiao-me/aigc-weekly.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent/.opencode/skills/chinese-writing .claude/skills/chinese-writing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
chinese-writing
GitHub stars
562
Token cost
~1.2k tokens
SKILL.md length
310 words
Files
1
Skills in repo
3
Repo updated
First seen
Licence
AGPL-3.0

At a glance

专注科技周刊的中文写作与审稿技能指南,指导大模型生成与审核清晰、克制、无 AI 味的高质量周刊内容. An agent skill from miantiao-me/aigc-weekly.

  • Works in 7 steps: 周刊核心基调 → 周刊结构规范 → 句法与排版准则 → …
  • SKILL.md covers 1. 周刊核心基调, 2. 周刊结构规范, 3. 句法与排版准则 and 4. 周刊专属去 AI 味反模式, plus 4 more sections
  • Reaches wsrv.nl

What it does

Chinese Writing is an agent skill from miantiao-me/aigc-weekly. 专注科技周刊的中文写作与审稿技能指南,指导大模型生成与审核清晰、克制、无 AI 味的高质量周刊内容。

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Cloudflare and Payload CMS. The repository describes itself as: Agili 的 AIGC 周刊 - 一个由 Agentic AI Agent 驱动的 AIGC(人工智能生成内容)精选周刊。 The licence is AGPL-3.0.

Example prompts

  • “/chinese-writing”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. 周刊核心基调
  2. 周刊结构规范
  3. 句法与排版准则
  4. 周刊专属去 AI 味反模式
  5. 审校与审核工作流(Reviewer 守则)
  6. 改写示例速查
  7. 交付自查清单

What it can do on your machine

Read from SKILL.md and the folder at commit c789b52. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • wsrv.nl

    Also links to:

    • learn.microsoft.com
    • github.com
    • sockpuppet.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Chinese Writing loads about 1.2k tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 310 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~17
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from miantiao-me/aigc-weekly at commit c789b52, republished under its AGPL-3.0 licence (© miantiao-me). 310 words, ~1,223 tokens.

Download SKILL.mdSave it as .claude/skills/chinese-writing/SKILL.md (or your agent's skills folder).
name
chinese-writing
description
专注科技周刊的中文写作与审稿技能指南,指导大模型生成与审核清晰、克制、无 AI 味的高质量周刊内容。

科技周刊中文写作与审校指南

本指南专为 AIGC 科技周刊的起草(Writer)与审校(Reviewer)设计,指导大模型生成并审核高密度、现代风格、无机器味的简体中文周刊内容。

核心原则:清晰(Clear)、克制(Restrained)、真实(Human)、精炼(Concise)。


1. 周刊核心基调

周刊旨在为开发者与科技爱好者高效交付高价值信号,而非堆砌噪音或复读公关通稿。

  • 直奔主题:直击事件本质与技术价值,杜绝客套寒暄与废话铺垫。
  • 事实先行,允许立场:用实测数据、架构细节与实际跑分说话;允许真实的极客态度与评价,但绝不盲目煽情或吹嘘。
  • 纯粹动词驱动:坚决消灭动词名词化(Nominalization),让动词承担动作,主谓清晰。
  • 拒绝无菌感:长短句交错,语言自然鲜活,保留真实人类的交流呼吸感。

2. 周刊结构规范

2.1 Front Matter 与概括
  • title:简短有力,控制在 15 字以内,点出本期最重磅看点,不带无意义标点。
  • summary:1–2 句话高度提炼本期核心主线(如「本期看点:XX 模型开源大幅降低成本,YY 工具推动多 Agent 协作常态化」),作为整期的精华引索。
2.2 开场白与结束语
  • 开场白:遵循倒金字塔原则,1–2 句直切本周技术脉络,严禁「大家好,欢迎来到本周的 AIGC 周刊……」这类低效寒暄。
  • 结束语:简短收尾或点明下周趋势,保持克制友好的交流感,不强行拔高升华。
2.3 三类栏目条目撰写

每个条目由 标题 + 2–4 句核心摘要 构成,根据分类选择切入点:

栏目分类切入结构重点关注
资讯(News)事件本身 → 行业实质影响或争议点穿透公关辞令,说明对开发者或行业格局的具体影响
模型(Model)核心架构/参数 → 关键对比提升 → 适用场景/成本变化给出跑分对比、开源协议(如 Apache 2.0)、端侧运行门槛或价格变化
工具(Tool)是什么 → 解决的核心痛点 → 亮点与部署/使用方式说明技术栈(如 WebAssembly/Rust/本地运行)、使用场景与限制
2.4 原文链接嵌入规范
  • 必须保留原文链接,且必须以锚文本形式自然融入主干句子。
  • 锚点必须是核心名词:如工具名、模型名、公司名或核心功能词。
  • 严禁独立链接行:严禁出现 [原文链接]、[阅读更多]、[点击查看] 等占行断点。
    • ✅ 正确:[Sora 2](url) 是 OpenAI 推出的视频模型,支持生成 60 秒高清视频。
    • ❌ 错误:Sora 2 是 OpenAI 推出的视频模型。[原文链接](url)
2.5 配图处理规范
  • 配图必须使用经过代理转换的规范 URL(如 https://wsrv.nl/),不得残留本地临时路径。
  • 每张配图必须配有具体且简洁的 Alt 说明文本(如 ![GLM-5.3 编码基准评测对比图](url)),严禁使用「图片」、「image」等无意义占位符。
  • 图片作为条目补充,不能替代文字阐述与原文锚文本链接。

3. 句法与排版准则

3.1 动作、角色与信息流(Style 精要)
  • 动词化,消除名词化:
    • ❌ 错误:团队针对推理性能进行了深度优化,做出了大幅提升。
    • ✅ 正确:团队优化了推理性能,速度提升显著。
  • 主动语态优先:
    • ❌ 错误:新量化方案被 Unsloth 团队开源了。
    • ✅ 正确:Unsloth 团队开源了新量化方案。
  • 信息流从旧到新(Old-to-New):句首承接读者已知信息或上一句提到的概念,句尾(尾重音)放置关键推论、数据或全新技术名词。
3.2 排版格式规范
  • 盘古之白:中文与英文字母、半角数字之间严格保留一个半角空格(如「在 Mac mini 上部署 70B 模型」)。
  • 标点符号:使用全角标点符号(,。!?:;“”「」);中文与英文标点不混用。
  • 专有名词标准大小写:保留技术官方大小写(如 GitHub、macOS、Cloudflare、Next.js、SQLite、PyTorch,严禁随手小写为 github/nextjs)。
  • Emoji 与强调克制:正文与标题严禁滥用 🚀、💡、🔥、✨ 等 Emoji 装饰;粗体仅用于条目关键词,不全篇大面积加粗。

4. 周刊专属去 AI 味反模式

大模型撰写科技资讯时最容易陷入套话与夸大。周刊写作与审稿必须排查以下反模式:

4.1 内容与用词反模式
  1. 夸大历史意义:动辄「标志着……里程碑」、「揭开新纪元」、「颠覆了传统方式」。直接讲功能和实测结果。
  2. 空气信源与模糊归因:使用「专家指出」、「业内分析人士认为」。给出具体机构、学者或直接陈述技术事实。
  3. 公关吹捧用语:使用「令人叹为观止」、「无缝且强大」、「革命性突破」。用具体参数与延迟替代。
  4. 系动词回避:用「充当……的载体」、「作为……的证明」代替简洁的「是」。
  5. 虚假否定式排比:机械套用「这不仅是……,更是……」。改用直接肯定句。
  6. 机械三段式修饰:惯性堆砌三个形容词(如「高效、直观且易用」)。缩减为关键特性或事实说明。
  7. 肤浅分析尾巴:在条目末尾强行凑一句「反映了开源社区的繁荣」。直接删去。
4.2 警示词与平替池
警示词汇问题所在周刊改写建议
此外 / 除此之外机械过渡,破坏行文节奏直接删除另起一句,或靠上下文逻辑自然衔接
至关重要 / 举足轻重空洞的夸大改用「关键」、「核心」,或直接说明实际影响
深入探讨 / 深入剖析假装深刻的陈词滥调改用「分析」、「讨论」、「梳理」
不断演变的格局机器翻译腔废话改为「技术变化」、「市场趋势」或具体讲变化是什么
作为……的证明/体现虚浮的象征性表达直接陈述具体功能与测试数据
显而易见 / 众所周知读者质疑源头,居高临下直接摆出事实与推导依据

5. 审校与审核工作流(Reviewer 守则)

Reviewer 在审核周刊草稿时,必须严格执行挑刺标准,坚守两大铁律:

5.1 审校两大铁律
  1. 铁律一:严禁向 Writer 提供空洞的杂志标题式修辞。不把条目改成企业公关通稿,保留紧凑、务实的技术信息密度。
  2. 铁律二:绝对拒绝夸奖与谄媚(Avoid Encouragement)。不讲「写得很好」、「很精彩」,审稿意见直击:哪些句子臃肿?哪个条目缺乏实质信息?哪处动词被名词化了?哪里的链接未按规范嵌入?
5.2 四步审校流程
  1. 查裁撤与结构:条目摘要是否超过 4 句?是否废话过多?是否有无意义的套话段落?
  2. 查动词与句式:是否存在「进行了分析」、「做出了改进」?改为纯粹动词;检查是否违规使用了独立行链接。
  3. 查 AI 词与锯末:清扫「此外」、「至关重要」、「不仅……更是……」、「值得注意的是」等高频机器词。
  4. 查事实与格式:中英文空格是否规范?专有名词大小写是否准确?图片 URL 与 Alt 是否合规?

6. 改写示例速查

场景常见 AI 腔(不合格)周刊规范表达(合格)改写要点
资讯标题OpenAI 宣布发布具有里程碑意义的最新旗舰大模型OpenAI 正式发布 GPT-6 Astra,端到端延迟降低 60%剔除空洞象征,突出具体版本与实测亮点
工具摘要该工具作为一款非常出色的开源神器,提供了无缝且直观的体验,标志着本地开发的革新。[原文链接]anydoc 是一个 Rust 开发的文档转换库,支持将 Word、EPUB、PDF 等 14 种格式离线转换为干净的 Markdown。嵌入锚文本,说明语言架构、支持格式与离线特性
模型条目本次更新不仅提升了推理能力,更是为解决复杂数学问题奠定了基础,专家认为其展现出极佳潜力。Kimi K3 正式开放 2.8T 参数权重,采用非对称 MoE 架构,在保持旗舰精度的同时将部署成本削减至原本的 1/4。消除否定排比与空气信源,给出参数量、架构与具体成本变化
开场导语大家好!在这个充满活力的九月,AI 领域又迎来了蓬勃发展,让我们一起来深入探讨本周的精彩动态。本周开源权重模型密集爆发:GLM-5.3 登顶开源编码榜单,Qwen3.8-Flash 接连开源;硬件侧 OpenAI 自研芯片公布首批实测数据。删去所有寒暄套话,1 句话全景交代本周核心看点

7. 交付自查清单

在周刊成稿交付或判定 PASS 前,逐条过筛:

  • 结构:Front matter 包含 title、date、summary、tags 且格式完整?
  • 开场:开场白是否在 1–2 句内直奔主题,无废话客套?
  • 链接:所有条目原文链接均已自然嵌入主干关键词?无任何独立的「[原文链接]」行?
  • 摘要:每个条目摘要控制在 2–4 句,信息密度达标?
  • 动作:消除了「进行……的优化/分析/发布」等动词名词化?
  • 去 AI 味:排除了「此外」、「至关重要」、「不仅……更是……」、「标志着」等 AI 警示词?
  • 排版:中英文之间保留半角空格?专有名词大小写准确?标点均为全角?无多余 Emoji?
  • 配图:图片 Alt 简洁具体?URL 均为合法网络地址且无临时路径?

参考来源

© miantiao-me, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in agent/.opencode/skills/chinese-writing of miantiao-me/aigc-weekly.

Open the folder on GitHubat commit c789b52

Compare with similar skills

Chinese Writing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Chinese Writing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Chinese Writing this skillmiantiao-me/aigc-weekly562—~1.2kAutomated safety check: PassAGPL-3.0
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Cloudflare Browser Renderingcloudflare/moltworker9.9k—~742Automated safety check: PassApache-2.0
Turnstile Spincloudflare/skills3k4 repos~7.2kAutomated safety check: NotesApache-2.0
Payloadpayloadcms/payload45k5 repos~6.2kAutomated safety check: PassMIT
Star Office UI Setupringhyacinth/Star-Office-UI7.5k—~1.3kAutomated safety check: PassMIT

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Questions about Chinese Writing

What does Chinese Writing do?

专注科技周刊的中文写作与审稿技能指南,指导大模型生成与审核清晰、克制、无 AI 味的高质量周刊内容. An agent skill from miantiao-me/aigc-weekly. Chinese Writing is an agent skill from miantiao-me/aigc-weekly.

How do I install Chinese Writing in Claude Code?

Run `npx skills add miantiao-me/aigc-weekly --skill chinese-writing -a claude-code`. Or copy the skill folder (agent/.opencode/skills/chinese-writing in miantiao-me/aigc-weekly) into .claude/skills/chinese-writing in your project. Claude Code loads it when a task matches its description.

How do I install Chinese Writing in Codex?

Run `npx skills add miantiao-me/aigc-weekly --skill chinese-writing -a codex`. Or copy the skill folder (agent/.opencode/skills/chinese-writing in miantiao-me/aigc-weekly) into .agents/skills/chinese-writing in your project. Codex loads it when a task matches its description.

Can I use Chinese Writing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add miantiao-me/aigc-weekly --skill chinese-writing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/chinese-writing, .gemini/skills/chinese-writing, .github/skills/chinese-writing and .opencode/skills/chinese-writing in your project.

What does Chinese Writing need to run?

SKILL.md names no scripts, command-line tools or credentials: Chinese Writing is instructions for the agent only.

Does Chinese Writing access the network?

SKILL.md names 4 domains. In commands or code: wsrv.nl; the agent is likely to contact it when it follows the instructions. As links in the text: learn.microsoft.com, github.com and sockpuppet.org. This is read from the text; nothing was executed.

Is Chinese Writing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Chinese Writing use?

Chinese Writing is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Chinese Writing use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Chinese Writing?

Skills that share tags, products or a category with Chinese Writing: Record PR Demo (payloadcms/payload, 45k stars), Cloudflare Browser Rendering (cloudflare/moltworker, 9.9k stars), Turnstile Spin (cloudflare/skills, 3k stars) and Payload (payloadcms/payload, 45k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Chinese Writing?

miantiao-me (a GitHub user) maintains it in miantiao-me/aigc-weekly, which has 562 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 21, 2026.

Source: miantiao-me/aigc-weekly on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.