Gr Wechat Editorial logo

Gr Wechat Editorial

Community
Gingiris-1031
gr-wechat-editorial

微信公众号内容运营:将真实素材转为有来源的中文文章,完成文风校准、内容审稿、inline-CSS 排版、终审和草稿箱交付回读。 适用于“写公众号”“会议转公众号”“公众号排版”“推草稿箱”;默认交付草稿,正式发布由账号负责人执行。

Overview

PublisherGingiris-1031
Repositorygingiris-skills
Skill namegr-wechat-editorial
Stars
88
Forks
6
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Gingiris-1031 on GitHub. Read the source before you install it.

Installation

Install the Gr Wechat Editorial AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/gr-wechat-editorial
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Gingiris-1031/gingiris-skills.git /tmp/gingiris-skills
mkdir -p .claude/skills
cp -r /tmp/gingiris-skills/skills/gr-wechat-editorial .claude/skills/gr-wechat-editorial
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gr Wechat Editorial in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gr Wechat Editorial on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gr Wechat Editorial is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

公众号内容运营

把素材、审稿、排版和草稿交接串成可追溯的流程。适用于个人作者与内容团队;不依赖 Cola、私有素材库或某个账号。首次使用读取 工作表,按实际任务填必要字段,不要求用户回答已经提供的信息。

先确定交付边界

确认公众号/作者、读者、目标、来源、文风参考、文章归属与本次交付阶段。通常是本地审阅包或草稿箱;“发布这个 Skill”不授权发布公众号文章。用户已明确授权推草稿时直接完成,不反复确认。正式发布默认由负责人在后台完成;用户明确改为代发布时按当前工具与授权执行,并单独验证发布状态,不把群发通知当隐含步骤。

没有连接器或草稿权限时完成本地交付包,标记未上传。不要把文章上传到第三方排版服务作为隐含步骤。

1. 选题与取证

读取与主题相关的原始材料及上下文,先确认发言人,不假定“说话人1”就是作者。索引和摘要是定位工具;精确引语、数字与细节回到原文。把观点分成作者经历、他人陈述、公开事实和编辑推论。不同口径冲突时保留出处和时间,不择大数。

选一个读者问题和一个新角度,对照已发台账避免原样重复;已有系列优先,允许独立文章。没有新证据时可深化旧观点,但标为旧素材重编。不要为了选题合格硬凑两个数字。

产出 brief 与来源表。客户名称、内部数据、私人经历仅按明确可用范围引用;仅改名未必足够脱敏。涉及第三方成效时分开公司自报与独立验证,不把两次转载当两份独立证据。

2. 写作与内容审

使用用户给定的当前文风及认可样本。没有样本时采用自然、具体、清晰的中文,不默认冒充 Iris。允许基于真实经历起笔,也允许问题/观点开场;不得为了时间地点、括号、破折号或第一人称配额编造场景。数字不足就不用数据表。

写 article.md,并用独立 source-map.md 保留内部来源;公开稿保留适当公开引用,私有路径/会议标识不随正文发送。编辑推论不能伪装成作者原话。

按 双重审核与故障处理 做内容审:来源、归属、逻辑、标题承诺、文风和可公开性。对缺证据的关键事实先删去或收窄,不能靠润色掩盖。审稿报告区分阻断问题与可选建议。

3. 排版、图片与终审

生成 article.html:正文使用简单语义标签与 inline CSS,首个文章大标题在后台标题字段单独填写,避免重复。基础可从段落行高 1.8、段距 1.2em 开始,按手机预览调整;不承诺任意 CSS 都被微信保留。

封面、品牌色、字号和文末引导由账号配置决定。900×383 黑底白字是原团队历史模板,不是所有账号的强制规则;上传规格以当前后台为准。只使用已获准的图片,检查裁切、字形和版权。不要把图表或数据截图改造成伪造证据。仅在用户需要时加相关 CTA,不自动放作者的价格、联系方式或推广链接。

终审检查中文、长段、表格溢出、封面和正文图、链接、署名、摘要、原创/转载归属和内容完整性。确认没有内部注释、占位符、私人信息。内容改动后重做受影响的审核。

可选本地打包(只读输入、写新目录,无网络、无凭证访问):

bash
python3 scripts/prepare_delivery.py --article article.json --out delivery-v1

article.json 字段见工作表。此脚本处理已有 HTML,并非 Markdown 渲染器、安全 HTML 消毒器或微信 API 客户端;不会上传、发布或群发。人工预览与来源审稿仍然必要。

4. 草稿箱交付与回读

优先使用已连接的公众号工具,或后台界面。只授予当前动作所需能力;先查当前工具/API 文档,不复制来源包的旧发布脚本。上传封面/正文图并替换为后台可用资产,再创建或更新目标草稿;保存账号、草稿 ID、版本/正文摘要和时间。

创建响应不等于正确交付。重新打开目标草稿,核对账号、标题、摘要、中文、图片、段落、链接与尾部;记录 API 字段回读和手机/后台视觉预览是否分别完成。失败或结果不明时先查草稿列表与已有 ID,不能盲目重试产生重复草稿,更不能尝试发布接口“验证”。

5. 交接与复盘

明确汇报实际达到的状态:本地已生成 / 内容审通过 / 终审通过 / 草稿已创建 / 草稿回读通过 / 已发布(如另获授权且实际验证)。最终交付文章、来源表、审核报告、封面与草稿标识。只有实际查看公开文章或后台发布结果才能记已发布;群发状态另记。

把真实故障写入项目日志,记录症状、证据、修复与复测;不要把一次疑似根因写成平台永久规则。此版本未附线上传输实现,账号权限与真实草稿写入需在目标环境验证。

按需参考

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Gr Wechat Editorial AI skill do?

微信公众号内容运营:将真实素材转为有来源的中文文章,完成文风校准、内容审稿、inline-CSS 排版、终审和草稿箱交付回读。 适用于“写公众号”“会议转公众号”“公众号排版”“推草稿箱”;默认交付草稿,正式发布由账号负责人执行。

Why use Gr Wechat Editorial on TypingMind?

Because you install it once and use it with any model. Gr Wechat Editorial is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gr Wechat Editorial in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/gr-wechat-editorial. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Gr Wechat Editorial?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gr Wechat Editorial?

As many as you like. As long as a model supports skills, you can use Gr Wechat Editorial with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gr Wechat Editorial AI skill free?

Yes. It is published on GitHub by Gingiris-1031 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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